diff --git a/docs/examples/broadcast_tracking_data.ipynb b/docs/examples/broadcast_tracking_data.ipynb
deleted file mode 100644
index 09aaaa55..00000000
--- a/docs/examples/broadcast_tracking_data.ipynb
+++ /dev/null
@@ -1,432 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Broadcast Tracking Data\n",
-    "\n",
-    "Unlike tracking data from permanently installed camera systems in a stadium, broadcast tracking captures player locations directly from video feeds.  \n",
-    "As these broadcast feeds usually show only part of the pitch, this tracking data contains only part of the players information for most frames and may be missing data for some frames entirely due to playbacks or close-up camera views.  \n",
-    "For more information about this data please go to https://github.com/SkillCorner/opendata.\n",
-    "\n",
-    "A note from Skillcorner:  \n",
-    "\"if you use the data, we kindly ask that you credit SkillCorner and hope you'll notify us on Twitter so we can follow the great work being done with this data.\"\n",
-    "\n",
-    "Available Matches in the Skillcorner Opendata Repository:  \n",
-    "\n",
-    "    \"ID: 4039 - Manchester City vs Liverpool on 2020-07-02\"  \n",
-    "    \"ID: 3749 - Dortmund vs Bayern Munchen on 2020-05-26\"  \n",
-    "    \"ID: 3518 - Juventus vs Inter on 2020-03-08\"  \n",
-    "    \"ID: 3442 - Real Madrid vs FC Barcelona on 2020-03-01\"  \n",
-    "    \"ID: 2841 - FC Barcelona vs Real Madrid on 2019-12-18\"  \n",
-    "    \"ID: 2440 - Liverpool vs Manchester City on 2019-11-10\"  \n",
-    "    \"ID: 2417 - Bayern Munchen vs Dortmund on 2019-11-09\"  \n",
-    "    \"ID: 2269 - Paris vs Marseille on 2019-10-27\"  \n",
-    "    \"ID: 2068 - Inter vs Juventus on 2019-10-06\"\n",
-    "\n",
-    "Metadata is available for this data.\n",
-    "\n",
-    "## Loading Skillcorner data\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "from kloppy import skillcorner\n",
-    "\n",
-    "# there is one example match for testing purposes in kloppy that we use here\n",
-    "# for other matches change the filenames to the location of your downloaded skillcorner opendata files\n",
-    "matchdata_file = '../../kloppy/tests/files/skillcorner_match_data.json'\n",
-    "tracking_file = '../../kloppy/tests/files/skillcorner_structured_data.json'\n",
-    "\n",
-    "dataset = skillcorner.load(meta_data=matchdata_file,\n",
-    "                           raw_data=tracking_file,\n",
-    "                           limit=100)\n",
-    "\n",
-    "df = dataset.to_df()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Exploring the data\n",
-    "\n",
-    "When you want to show the name of a player you are advised to use `str(player)`. This will call the magic `__str__` method that handles fallbacks for missing data. By default it will return `full_name`, and fallback to 1) `first_name last_name` 2) `player_id`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['Thiago Alcantara (6)',\n",
-       " 'Lukas Mai (33)',\n",
-       " 'David Alaba (27)',\n",
-       " 'Manuel Neuer (1)',\n",
-       " 'Mickael Cuisance (11)',\n",
-       " 'Corentin Tolisso (24)',\n",
-       " 'Thomas Müller (25)',\n",
-       " 'Joshua Kimmich (32)',\n",
-       " 'Sven Ulreich (26)',\n",
-       " 'Robert Lewandowski (9)',\n",
-       " 'Kingsley Coman (29)',\n",
-       " 'Leon Goretzka (18)',\n",
-       " 'Alphonso Davies (19)',\n",
-       " 'Javier Martinez (8)',\n",
-       " 'Benjamin Pavard (5)',\n",
-       " 'Philippe Coutinho (10)',\n",
-       " 'Ivan Perisic (14)',\n",
-       " 'Serge Gnabry (22)']"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "metadata = dataset.metadata\n",
-    "home_team, away_team = metadata.teams\n",
-    "\n",
-    "[f\"{player} ({player.jersey_no})\" for player in home_team.players]\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "home - FC Bayern Munchen\n",
-      "away - Borussia Dortmund\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f\"{home_team.ground} - {home_team}\")\n",
-    "print(f\"{away_team.ground} - {away_team}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "## Working with tracking data\n",
-    "\n",
-    "The actual tracking data is available at `dataset.frames`. This list holds all frames. Each frame has a `players_coordinates` dictionary that is indexed by `Player` entities and has values of the `Point` type.\n",
-    "\n",
-    "Identities of players are not always specified. In that case only the team affiliation is known and a track_id that is part of the player_id is used to identify the same (unknown) player across multiple frames."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Number of players in the frame: 18\n",
-      "List home team players coordinates\n",
-      "[('home_anon_75', Point(x=0.651772292307619, y=0.058380954035294086)),\n",
-      " ('home_22', Point(x=0.5811316475035238, y=0.010450905444117642)),\n",
-      " ('home_5', Point(x=0.6586107308438095, y=0.028452003889705924)),\n",
-      " ('home_29', Point(x=0.5017706101333714, y=0.6315331512472059)),\n",
-      " ('home_18', Point(x=0.5846745990571428, y=0.09758438650000001)),\n",
-      " ('home_25', Point(x=0.5817775484115238, y=0.35925220307852945)),\n",
-      " ('home_8', Point(x=0.7467174002371428, y=0.13082327161470597)),\n",
-      " ('home_27', Point(x=0.7323288673171429, y=0.3728190142901471)),\n",
-      " ('home_19', Point(x=0.7071614695780952, y=0.507377931049897)),\n",
-      " ('home_32', Point(x=0.635410294564762, y=0.11935376853823532))]\n"
-     ]
-    }
-   ],
-   "source": [
-    "first_frame = dataset.frames[88]\n",
-    "print(f\"Number of players in the frame: {len(first_frame.players_coordinates)}\")\n",
-    "\n",
-    "from pprint import pprint\n",
-    "print(\"List home team players coordinates\")\n",
-    "pprint([\n",
-    "    (player.player_id, player_coordinates) \n",
-    "    for player, player_coordinates\n",
-    "    in first_frame.players_coordinates.items()\n",
-    "    if player.team == home_team\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>frame_id</th>\n",
-       "      <th>ball_state</th>\n",
-       "      <th>ball_owning_team_id</th>\n",
-       "      <th>ball_x</th>\n",
-       "      <th>ball_y</th>\n",
-       "      <th>ball_z</th>\n",
-       "      <th>away_23_x</th>\n",
-       "      <th>away_23_y</th>\n",
-       "      <th>...</th>\n",
-       "      <th>away_14_d</th>\n",
-       "      <th>away_14_s</th>\n",
-       "      <th>home_9_x</th>\n",
-       "      <th>home_9_y</th>\n",
-       "      <th>home_9_d</th>\n",
-       "      <th>home_9_s</th>\n",
-       "      <th>home_anon_75_x</th>\n",
-       "      <th>home_anon_75_y</th>\n",
-       "      <th>home_anon_75_d</th>\n",
-       "      <th>home_anon_75_s</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>11.2</td>\n",
-       "      <td>1523</td>\n",
-       "      <td>None</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.747489</td>\n",
-       "      <td>0.098509</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>11.3</td>\n",
-       "      <td>1524</td>\n",
-       "      <td>None</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.791347</td>\n",
-       "      <td>-0.020033</td>\n",
-       "      <td>2.243712</td>\n",
-       "      <td>0.745323</td>\n",
-       "      <td>0.099367</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>11.4</td>\n",
-       "      <td>1525</td>\n",
-       "      <td>None</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.772630</td>\n",
-       "      <td>-0.009469</td>\n",
-       "      <td>2.534799</td>\n",
-       "      <td>0.742956</td>\n",
-       "      <td>0.099743</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>11.5</td>\n",
-       "      <td>1526</td>\n",
-       "      <td>None</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.754625</td>\n",
-       "      <td>0.001612</td>\n",
-       "      <td>2.659813</td>\n",
-       "      <td>0.740386</td>\n",
-       "      <td>0.099638</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1</td>\n",
-       "      <td>11.6</td>\n",
-       "      <td>1527</td>\n",
-       "      <td>None</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.737330</td>\n",
-       "      <td>0.013210</td>\n",
-       "      <td>2.618755</td>\n",
-       "      <td>0.737875</td>\n",
-       "      <td>0.096646</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 92 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   period_id  timestamp  frame_id ball_state  ball_owning_team_id    ball_x  \\\n",
-       "0          1       11.2      1523       None                  NaN       NaN   \n",
-       "1          1       11.3      1524       None                  NaN  0.791347   \n",
-       "2          1       11.4      1525       None                  NaN  0.772630   \n",
-       "3          1       11.5      1526       None                  NaN  0.754625   \n",
-       "4          1       11.6      1527       None                  NaN  0.737330   \n",
-       "\n",
-       "     ball_y    ball_z  away_23_x  away_23_y  ...  away_14_d  away_14_s  \\\n",
-       "0       NaN       NaN   0.747489   0.098509  ...        NaN        NaN   \n",
-       "1 -0.020033  2.243712   0.745323   0.099367  ...        NaN        NaN   \n",
-       "2 -0.009469  2.534799   0.742956   0.099743  ...        NaN        NaN   \n",
-       "3  0.001612  2.659813   0.740386   0.099638  ...        NaN        NaN   \n",
-       "4  0.013210  2.618755   0.737875   0.096646  ...        NaN        NaN   \n",
-       "\n",
-       "   home_9_x  home_9_y home_9_d home_9_s  home_anon_75_x  home_anon_75_y  \\\n",
-       "0       NaN       NaN      NaN      NaN             NaN             NaN   \n",
-       "1       NaN       NaN      NaN      NaN             NaN             NaN   \n",
-       "2       NaN       NaN      NaN      NaN             NaN             NaN   \n",
-       "3       NaN       NaN      NaN      NaN             NaN             NaN   \n",
-       "4       NaN       NaN      NaN      NaN             NaN             NaN   \n",
-       "\n",
-       "  home_anon_75_d home_anon_75_s  \n",
-       "0            NaN            NaN  \n",
-       "1            NaN            NaN  \n",
-       "2            NaN            NaN  \n",
-       "3            NaN            NaN  \n",
-       "4            NaN            NaN  \n",
-       "\n",
-       "[5 rows x 92 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "kloppy-venv",
-   "language": "python",
-   "name": "kloppy-venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": true,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {},
-   "toc_section_display": true,
-   "toc_window_display": false
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/examples/code_data.ipynb b/docs/examples/code_data.ipynb
deleted file mode 100644
index a0b42f9c..00000000
--- a/docs/examples/code_data.ipynb
+++ /dev/null
@@ -1,1628 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Code data\n",
-    "\n",
-    "Apart from event- and tracking data analytics often use code data. This type of data can be collected by hand using tools like SportsCode. \n",
-    "\n",
-    "Kloppy allows easy read AND write functionallity for the codes in SportsCode XML format. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Reading XML file"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from kloppy import sportscode"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "with open(\"file.xml\", \"w\") as fp:\n",
-    "    fp.write(\"\"\"<?xml version=\"1.0\"?>\n",
-    "<file>\n",
-    "    <ALL_INSTANCES>\n",
-    "        <instance>\n",
-    "            <ID>P1</ID>\n",
-    "            <start>3.6</start>\n",
-    "            <end>9.7</end>\n",
-    "            <code>PASS</code>\n",
-    "            <label>\n",
-    "                <group>Team</group>\n",
-    "                <text>Henkie</text>\n",
-    "            </label>\n",
-    "            <label>\n",
-    "                <group>Packing.Value</group>\n",
-    "                <text>1</text>\n",
-    "            </label>\n",
-    "            <label>\n",
-    "                <group>Receiver</group>\n",
-    "                <text>Klaas N&#xF8;me</text>\n",
-    "            </label>\n",
-    "        </instance>\n",
-    "        <instance>\n",
-    "            <ID>P2</ID>\n",
-    "            <start>68.3</start>\n",
-    "            <end>74.5</end>\n",
-    "            <code>PASS</code>\n",
-    "            <label>\n",
-    "                <group>Team</group>\n",
-    "                <text>Henkie</text>\n",
-    "            </label>\n",
-    "            <label>\n",
-    "                <group>Packing.Value</group>\n",
-    "                <text>3</text>\n",
-    "            </label>\n",
-    "            <label>\n",
-    "                <group>Receiver</group>\n",
-    "                <text>Piet</text>\n",
-    "            </label>\n",
-    "        </instance>\n",
-    "        <instance>\n",
-    "            <ID>P3</ID>\n",
-    "            <start>103.6</start>\n",
-    "            <end>109.6</end>\n",
-    "            <code>SHOT</code>\n",
-    "            <label>\n",
-    "                <group>Team</group>\n",
-    "                <text>Henkie</text>\n",
-    "            </label>\n",
-    "            <label>\n",
-    "                <group>Expected.Goal.Value</group>\n",
-    "                <text>0.13</text>\n",
-    "            </label>\n",
-    "        </instance>\n",
-    "    </ALL_INSTANCES>\n",
-    "</file>\"\"\")\n",
-    "    \n",
-    "code_dataset = sportscode.load(\"file.xml\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>code_id</th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>end_timestamp</th>\n",
-       "      <th>code</th>\n",
-       "      <th>Team</th>\n",
-       "      <th>Packing.Value</th>\n",
-       "      <th>Receiver</th>\n",
-       "      <th>Expected.Goal.Value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>P1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>9.7</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>Henkie</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>Klaas Nøme</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>P2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>68.3</td>\n",
-       "      <td>74.5</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>Henkie</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>Piet</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>P3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>103.6</td>\n",
-       "      <td>109.6</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>Henkie</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>None</td>\n",
-       "      <td>0.13</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  code_id  period_id  timestamp  end_timestamp  code    Team  Packing.Value   \n",
-       "0      P1          1        3.6            9.7  PASS  Henkie            1.0  \\\n",
-       "1      P2          1       68.3           74.5  PASS  Henkie            3.0   \n",
-       "2      P3          1      103.6          109.6  SHOT  Henkie            NaN   \n",
-       "\n",
-       "     Receiver  Expected.Goal.Value  \n",
-       "0  Klaas Nøme                  NaN  \n",
-       "1        Piet                  NaN  \n",
-       "2        None                 0.13  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "code_dataset.to_df()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The code dataset also allows filtering the codes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>code_id</th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>end_timestamp</th>\n",
-       "      <th>code</th>\n",
-       "      <th>Team</th>\n",
-       "      <th>Packing.Value</th>\n",
-       "      <th>Receiver</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>P1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>9.7</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>Henkie</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Klaas Nøme</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>P2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>68.3</td>\n",
-       "      <td>74.5</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>Henkie</td>\n",
-       "      <td>3</td>\n",
-       "      <td>Piet</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  code_id  period_id  timestamp  end_timestamp  code    Team  Packing.Value   \n",
-       "0      P1          1        3.6            9.7  PASS  Henkie              1  \\\n",
-       "1      P2          1       68.3           74.5  PASS  Henkie              3   \n",
-       "\n",
-       "     Receiver  \n",
-       "0  Klaas Nøme  \n",
-       "1        Piet  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "passes = code_dataset.filter(lambda code: code.code == 'PASS')\n",
-    "passes.to_df()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Writing XML file"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<?xml version='1.0' encoding='utf-8'?>\n",
-      "<file>\n",
-      "  <ALL_INSTANCES>\n",
-      "    <instance>\n",
-      "      <ID>P1</ID>\n",
-      "      <start>3.6</start>\n",
-      "      <end>9.7</end>\n",
-      "      <code>PASS</code>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Henkie</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Packing.Value</group>\n",
-      "        <text>1</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Receiver</group>\n",
-      "        <text>Klaas Nøme</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>P2</ID>\n",
-      "      <start>68.3</start>\n",
-      "      <end>74.5</end>\n",
-      "      <code>PASS</code>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Henkie</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Packing.Value</group>\n",
-      "        <text>3</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Receiver</group>\n",
-      "        <text>Piet</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "  </ALL_INSTANCES>\n",
-      "</file>\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "sportscode.save(passes, \"file.xml\")\n",
-    "\n",
-    "with open(\"file.xml\", \"r\") as fp:\n",
-    "    print(fp.read())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Converting event dataset into XML dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/kloppy-3.10.2-py3.10.egg/kloppy/_providers/statsbomb.py:67: UserWarning: \n",
-      "\n",
-      "You are about to use StatsBomb public data.\n",
-      "By using this data, you are agreeing to the user agreement. \n",
-      "The user agreement can be found here: https://github.com/statsbomb/open-data/blob/master/LICENSE.pdf\n",
-      "\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
-   "source": [
-    "from kloppy import statsbomb\n",
-    "\n",
-    "dataset = statsbomb.load_open_data()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from kloppy.domain import Code, CodeDataset, EventType\n",
-    "\n",
-    "dataset_shots = dataset.filter(\n",
-    "    lambda event: event.event_type == EventType.SHOT\n",
-    ")\n",
-    "\n",
-    "code_dataset = (\n",
-    "    CodeDataset\n",
-    "    .from_dataset(\n",
-    "        dataset_shots,\n",
-    "        lambda event: Code(\n",
-    "            code_id=None,  # make it auto increment on write\n",
-    "            code=event.event_name,\n",
-    "            period=event.period,\n",
-    "            timestamp=max(0, event.timestamp - 7),\n",
-    "            end_timestamp=event.timestamp + 5,\n",
-    "            labels={\n",
-    "                'Player': str(event.player),\n",
-    "                'Team': str(event.team)\n",
-    "            },\n",
-    "            \n",
-    "            # In the future next two won't be needed anymore\n",
-    "            ball_owning_team=None,\n",
-    "            ball_state=None\n",
-    "        )\n",
-    "    )\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>code_id</th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>end_timestamp</th>\n",
-       "      <th>code</th>\n",
-       "      <th>Player</th>\n",
-       "      <th>Team</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>142.094</td>\n",
-       "      <td>154.094</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>332.239</td>\n",
-       "      <td>344.239</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Jordi Alba Ramos</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>921.625</td>\n",
-       "      <td>933.625</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>972.616</td>\n",
-       "      <td>984.616</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Rubén Sobrino Pozuelo</td>\n",
-       "      <td>Deportivo Alavés</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1088.914</td>\n",
-       "      <td>1100.914</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1835.287</td>\n",
-       "      <td>1847.287</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2097.861</td>\n",
-       "      <td>2109.861</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Ivan Rakitić</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2241.168</td>\n",
-       "      <td>2253.168</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2243.989</td>\n",
-       "      <td>2255.989</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Gerard Piqué Bernabéu</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2301.083</td>\n",
-       "      <td>2313.083</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2427.592</td>\n",
-       "      <td>2439.592</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2603.612</td>\n",
-       "      <td>2615.612</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>152.524</td>\n",
-       "      <td>164.524</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Jordi Alba Ramos</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>360.400</td>\n",
-       "      <td>372.400</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Mubarak Wakaso</td>\n",
-       "      <td>Deportivo Alavés</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>527.355</td>\n",
-       "      <td>539.355</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>589.388</td>\n",
-       "      <td>601.388</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>627.490</td>\n",
-       "      <td>639.490</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Jordi Alba Ramos</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>733.847</td>\n",
-       "      <td>745.847</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>929.156</td>\n",
-       "      <td>941.156</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1084.954</td>\n",
-       "      <td>1096.954</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1236.588</td>\n",
-       "      <td>1248.588</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1406.375</td>\n",
-       "      <td>1418.375</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Ivan Rakitić</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1640.492</td>\n",
-       "      <td>1652.492</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1990.679</td>\n",
-       "      <td>2002.679</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Adrián Marín Gómez</td>\n",
-       "      <td>Deportivo Alavés</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2184.606</td>\n",
-       "      <td>2196.606</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2254.578</td>\n",
-       "      <td>2266.578</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2655.638</td>\n",
-       "      <td>2667.638</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2795.770</td>\n",
-       "      <td>2807.770</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   code_id  period_id  timestamp  end_timestamp  code   \n",
-       "0     None          1    142.094        154.094  shot  \\\n",
-       "1     None          1    332.239        344.239  shot   \n",
-       "2     None          1    921.625        933.625  shot   \n",
-       "3     None          1    972.616        984.616  shot   \n",
-       "4     None          1   1088.914       1100.914  shot   \n",
-       "5     None          1   1835.287       1847.287  shot   \n",
-       "6     None          1   2097.861       2109.861  shot   \n",
-       "7     None          1   2241.168       2253.168  shot   \n",
-       "8     None          1   2243.989       2255.989  shot   \n",
-       "9     None          1   2301.083       2313.083  shot   \n",
-       "10    None          1   2427.592       2439.592  shot   \n",
-       "11    None          1   2603.612       2615.612  shot   \n",
-       "12    None          2    152.524        164.524  shot   \n",
-       "13    None          2    360.400        372.400  shot   \n",
-       "14    None          2    527.355        539.355  shot   \n",
-       "15    None          2    589.388        601.388  shot   \n",
-       "16    None          2    627.490        639.490  shot   \n",
-       "17    None          2    733.847        745.847  shot   \n",
-       "18    None          2    929.156        941.156  shot   \n",
-       "19    None          2   1084.954       1096.954  shot   \n",
-       "20    None          2   1236.588       1248.588  shot   \n",
-       "21    None          2   1406.375       1418.375  shot   \n",
-       "22    None          2   1640.492       1652.492  shot   \n",
-       "23    None          2   1990.679       2002.679  shot   \n",
-       "24    None          2   2184.606       2196.606  shot   \n",
-       "25    None          2   2254.578       2266.578  shot   \n",
-       "26    None          2   2655.638       2667.638  shot   \n",
-       "27    None          2   2795.770       2807.770  shot   \n",
-       "\n",
-       "                            Player              Team  \n",
-       "0   Lionel Andrés Messi Cuccittini         Barcelona  \n",
-       "1                 Jordi Alba Ramos         Barcelona  \n",
-       "2   Lionel Andrés Messi Cuccittini         Barcelona  \n",
-       "3            Rubén Sobrino Pozuelo  Deportivo Alavés  \n",
-       "4         Luis Alberto Suárez Díaz         Barcelona  \n",
-       "5                  Ousmane Dembélé         Barcelona  \n",
-       "6                     Ivan Rakitić         Barcelona  \n",
-       "7   Lionel Andrés Messi Cuccittini         Barcelona  \n",
-       "8            Gerard Piqué Bernabéu         Barcelona  \n",
-       "9                  Ousmane Dembélé         Barcelona  \n",
-       "10        Luis Alberto Suárez Díaz         Barcelona  \n",
-       "11                 Ousmane Dembélé         Barcelona  \n",
-       "12                Jordi Alba Ramos         Barcelona  \n",
-       "13                  Mubarak Wakaso  Deportivo Alavés  \n",
-       "14        Luis Alberto Suárez Díaz         Barcelona  \n",
-       "15       Philippe Coutinho Correia         Barcelona  \n",
-       "16                Jordi Alba Ramos         Barcelona  \n",
-       "17  Lionel Andrés Messi Cuccittini         Barcelona  \n",
-       "18       Philippe Coutinho Correia         Barcelona  \n",
-       "19  Lionel Andrés Messi Cuccittini         Barcelona  \n",
-       "20  Lionel Andrés Messi Cuccittini         Barcelona  \n",
-       "21                    Ivan Rakitić         Barcelona  \n",
-       "22        Luis Alberto Suárez Díaz         Barcelona  \n",
-       "23              Adrián Marín Gómez  Deportivo Alavés  \n",
-       "24       Philippe Coutinho Correia         Barcelona  \n",
-       "25       Philippe Coutinho Correia         Barcelona  \n",
-       "26  Lionel Andrés Messi Cuccittini         Barcelona  \n",
-       "27  Lionel Andrés Messi Cuccittini         Barcelona  "
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "code_dataset.to_df()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<?xml version='1.0' encoding='utf-8'?>\n",
-      "<file>\n",
-      "  <ALL_INSTANCES>\n",
-      "    <instance>\n",
-      "      <ID>1</ID>\n",
-      "      <start>142.094</start>\n",
-      "      <end>154.094</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Lionel Andrés Messi Cuccittini</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>2</ID>\n",
-      "      <start>332.239</start>\n",
-      "      <end>344.239</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Jordi Alba Ramos</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>3</ID>\n",
-      "      <start>921.625</start>\n",
-      "      <end>933.625</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Lionel Andrés Messi Cuccittini</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>4</ID>\n",
-      "      <start>972.616</start>\n",
-      "      <end>984.616</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Rubén Sobrino Pozuelo</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Deportivo Alavés</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>5</ID>\n",
-      "      <start>1088.914</start>\n",
-      "      <end>1100.914</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Luis Alberto Suárez Díaz</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>6</ID>\n",
-      "      <start>1835.287</start>\n",
-      "      <end>1847.287</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Ousmane Dembélé</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>7</ID>\n",
-      "      <start>2097.861</start>\n",
-      "      <end>2109.861</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Ivan Rakitić</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>8</ID>\n",
-      "      <start>2241.168</start>\n",
-      "      <end>2253.168</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Lionel Andrés Messi Cuccittini</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>9</ID>\n",
-      "      <start>2243.989</start>\n",
-      "      <end>2255.989</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Gerard Piqué Bernabéu</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>10</ID>\n",
-      "      <start>2301.083</start>\n",
-      "      <end>2313.083</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Ousmane Dembélé</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>11</ID>\n",
-      "      <start>2427.592</start>\n",
-      "      <end>2439.592</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Luis Alberto Suárez Díaz</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>12</ID>\n",
-      "      <start>2603.612</start>\n",
-      "      <end>2615.612</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Ousmane Dembélé</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>13</ID>\n",
-      "      <start>2857.7909999999997</start>\n",
-      "      <end>2869.7909999999997</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Jordi Alba Ramos</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>14</ID>\n",
-      "      <start>3065.667</start>\n",
-      "      <end>3077.667</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Mubarak Wakaso</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Deportivo Alavés</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>15</ID>\n",
-      "      <start>3232.622</start>\n",
-      "      <end>3244.622</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Luis Alberto Suárez Díaz</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>16</ID>\n",
-      "      <start>3294.6549999999997</start>\n",
-      "      <end>3306.6549999999997</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Philippe Coutinho Correia</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>17</ID>\n",
-      "      <start>3332.7569999999996</start>\n",
-      "      <end>3344.7569999999996</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Jordi Alba Ramos</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>18</ID>\n",
-      "      <start>3439.1139999999996</start>\n",
-      "      <end>3451.1139999999996</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Lionel Andrés Messi Cuccittini</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>19</ID>\n",
-      "      <start>3634.423</start>\n",
-      "      <end>3646.423</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Philippe Coutinho Correia</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>20</ID>\n",
-      "      <start>3790.2209999999995</start>\n",
-      "      <end>3802.2209999999995</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Lionel Andrés Messi Cuccittini</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>21</ID>\n",
-      "      <start>3941.8549999999996</start>\n",
-      "      <end>3953.8549999999996</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Lionel Andrés Messi Cuccittini</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>22</ID>\n",
-      "      <start>4111.642</start>\n",
-      "      <end>4123.642</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Ivan Rakitić</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>23</ID>\n",
-      "      <start>4345.759</start>\n",
-      "      <end>4357.759</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Luis Alberto Suárez Díaz</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>24</ID>\n",
-      "      <start>4695.946</start>\n",
-      "      <end>4707.946</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Adrián Marín Gómez</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Deportivo Alavés</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>25</ID>\n",
-      "      <start>4889.873</start>\n",
-      "      <end>4901.873</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Philippe Coutinho Correia</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>26</ID>\n",
-      "      <start>4959.844999999999</start>\n",
-      "      <end>4971.844999999999</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Philippe Coutinho Correia</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>27</ID>\n",
-      "      <start>5360.905</start>\n",
-      "      <end>5372.905</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Lionel Andrés Messi Cuccittini</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "    <instance>\n",
-      "      <ID>28</ID>\n",
-      "      <start>5501.037</start>\n",
-      "      <end>5513.037</end>\n",
-      "      <code>shot</code>\n",
-      "      <label>\n",
-      "        <group>Player</group>\n",
-      "        <text>Lionel Andrés Messi Cuccittini</text>\n",
-      "      </label>\n",
-      "      <label>\n",
-      "        <group>Team</group>\n",
-      "        <text>Barcelona</text>\n",
-      "      </label>\n",
-      "    </instance>\n",
-      "  </ALL_INSTANCES>\n",
-      "</file>\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "sportscode.save(code_dataset, \"file.xml\")\n",
-    "\n",
-    "with open(\"file.xml\", \"r\") as fp:\n",
-    "    print(fp.read())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.unlink(\"file.xml\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>code_id</th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>end_timestamp</th>\n",
-       "      <th>code</th>\n",
-       "      <th>Player</th>\n",
-       "      <th>Team</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>142.094</td>\n",
-       "      <td>154.094</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>332.239</td>\n",
-       "      <td>344.239</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Jordi Alba Ramos</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>921.625</td>\n",
-       "      <td>933.625</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1088.914</td>\n",
-       "      <td>1100.914</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1835.287</td>\n",
-       "      <td>1847.287</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2097.861</td>\n",
-       "      <td>2109.861</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Ivan Rakitić</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2241.168</td>\n",
-       "      <td>2253.168</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2243.989</td>\n",
-       "      <td>2255.989</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Gerard Piqué Bernabéu</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2301.083</td>\n",
-       "      <td>2313.083</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2427.592</td>\n",
-       "      <td>2439.592</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2603.612</td>\n",
-       "      <td>2615.612</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>152.524</td>\n",
-       "      <td>164.524</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Jordi Alba Ramos</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>527.355</td>\n",
-       "      <td>539.355</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>589.388</td>\n",
-       "      <td>601.388</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>627.490</td>\n",
-       "      <td>639.490</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Jordi Alba Ramos</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>733.847</td>\n",
-       "      <td>745.847</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>929.156</td>\n",
-       "      <td>941.156</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1084.954</td>\n",
-       "      <td>1096.954</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1236.588</td>\n",
-       "      <td>1248.588</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1406.375</td>\n",
-       "      <td>1418.375</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Ivan Rakitić</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1640.492</td>\n",
-       "      <td>1652.492</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2184.606</td>\n",
-       "      <td>2196.606</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2254.578</td>\n",
-       "      <td>2266.578</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2655.638</td>\n",
-       "      <td>2667.638</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>None</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2795.770</td>\n",
-       "      <td>2807.770</td>\n",
-       "      <td>Schot Barcelona</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   code_id  period_id  timestamp  end_timestamp             code   \n",
-       "0     None          1    142.094        154.094  Schot Barcelona  \\\n",
-       "1     None          1    332.239        344.239  Schot Barcelona   \n",
-       "2     None          1    921.625        933.625  Schot Barcelona   \n",
-       "3     None          1   1088.914       1100.914  Schot Barcelona   \n",
-       "4     None          1   1835.287       1847.287  Schot Barcelona   \n",
-       "5     None          1   2097.861       2109.861  Schot Barcelona   \n",
-       "6     None          1   2241.168       2253.168  Schot Barcelona   \n",
-       "7     None          1   2243.989       2255.989  Schot Barcelona   \n",
-       "8     None          1   2301.083       2313.083  Schot Barcelona   \n",
-       "9     None          1   2427.592       2439.592  Schot Barcelona   \n",
-       "10    None          1   2603.612       2615.612  Schot Barcelona   \n",
-       "11    None          2    152.524        164.524  Schot Barcelona   \n",
-       "12    None          2    527.355        539.355  Schot Barcelona   \n",
-       "13    None          2    589.388        601.388  Schot Barcelona   \n",
-       "14    None          2    627.490        639.490  Schot Barcelona   \n",
-       "15    None          2    733.847        745.847  Schot Barcelona   \n",
-       "16    None          2    929.156        941.156  Schot Barcelona   \n",
-       "17    None          2   1084.954       1096.954  Schot Barcelona   \n",
-       "18    None          2   1236.588       1248.588  Schot Barcelona   \n",
-       "19    None          2   1406.375       1418.375  Schot Barcelona   \n",
-       "20    None          2   1640.492       1652.492  Schot Barcelona   \n",
-       "21    None          2   2184.606       2196.606  Schot Barcelona   \n",
-       "22    None          2   2254.578       2266.578  Schot Barcelona   \n",
-       "23    None          2   2655.638       2667.638  Schot Barcelona   \n",
-       "24    None          2   2795.770       2807.770  Schot Barcelona   \n",
-       "\n",
-       "                            Player       Team  \n",
-       "0   Lionel Andrés Messi Cuccittini  Barcelona  \n",
-       "1                 Jordi Alba Ramos  Barcelona  \n",
-       "2   Lionel Andrés Messi Cuccittini  Barcelona  \n",
-       "3         Luis Alberto Suárez Díaz  Barcelona  \n",
-       "4                  Ousmane Dembélé  Barcelona  \n",
-       "5                     Ivan Rakitić  Barcelona  \n",
-       "6   Lionel Andrés Messi Cuccittini  Barcelona  \n",
-       "7            Gerard Piqué Bernabéu  Barcelona  \n",
-       "8                  Ousmane Dembélé  Barcelona  \n",
-       "9         Luis Alberto Suárez Díaz  Barcelona  \n",
-       "10                 Ousmane Dembélé  Barcelona  \n",
-       "11                Jordi Alba Ramos  Barcelona  \n",
-       "12        Luis Alberto Suárez Díaz  Barcelona  \n",
-       "13       Philippe Coutinho Correia  Barcelona  \n",
-       "14                Jordi Alba Ramos  Barcelona  \n",
-       "15  Lionel Andrés Messi Cuccittini  Barcelona  \n",
-       "16       Philippe Coutinho Correia  Barcelona  \n",
-       "17  Lionel Andrés Messi Cuccittini  Barcelona  \n",
-       "18  Lionel Andrés Messi Cuccittini  Barcelona  \n",
-       "19                    Ivan Rakitić  Barcelona  \n",
-       "20        Luis Alberto Suárez Díaz  Barcelona  \n",
-       "21       Philippe Coutinho Correia  Barcelona  \n",
-       "22       Philippe Coutinho Correia  Barcelona  \n",
-       "23  Lionel Andrés Messi Cuccittini  Barcelona  \n",
-       "24  Lionel Andrés Messi Cuccittini  Barcelona  "
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Chain filter and map operators\n",
-    "new_dataset = (\n",
-    "    code_dataset\n",
-    "    .filter(lambda record: record.labels['Team'] == 'Barcelona')\n",
-    "    .map(lambda record: record.replace(code='Schot Barcelona'))\n",
-    ")\n",
-    "new_dataset.to_df()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "kloppy-venv",
-   "language": "python",
-   "name": "kloppy-venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/examples/config.ipynb b/docs/examples/config.ipynb
deleted file mode 100644
index 6f78ed7a..00000000
--- a/docs/examples/config.ipynb
+++ /dev/null
@@ -1,211 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "20bb72b7",
-   "metadata": {},
-   "source": [
-    "# Config\n",
-    "\n",
-    "Kloppy 3.3 adds support for setting global configuration. This makes it possible to set the coordinate system for all `load` calls, setting the cache directory (or disabling the cache) and passing settings to adapters.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "e8979b51",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from kloppy.config import get_config, set_config, config_context"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "85c33f79",
-   "metadata": {},
-   "source": [
-    "## Get config\n",
-    "\n",
-    "You can get all configuration variable or just a single one using `get_config`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "b70b22c9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'cache': '/Users/koen/kloppy_cache',\n",
-       " 'coordinate_system': 'kloppy',\n",
-       " 'event_factory': None,\n",
-       " 'adapters.http.basic_authentication': None,\n",
-       " 'adapters.s3.s3fs': None,\n",
-       " 'dataframe.engine': 'pandas'}"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "get_config()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "9d75b69b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'kloppy'"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "get_config(\"coordinate_system\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "07f1ce9b",
-   "metadata": {},
-   "source": [
-    "## Set config\n",
-    "\n",
-    "Using `set_config` you can set the value for a single config variable. This value will be used for all calls to kloppy."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "1ba6227a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/kloppy-3.7.1-py3.10.egg/kloppy/_providers/statsbomb.py:67: UserWarning: \n",
-      "\n",
-      "You are about to use StatsBomb public data.\n",
-      "By using this data, you are agreeing to the user agreement. \n",
-      "The user agreement can be found here: https://github.com/statsbomb/open-data/blob/master/LICENSE.pdf\n",
-      "\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "OptaCoordinateSystem(normalized=False, length=120, width=80)"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from kloppy import statsbomb\n",
-    "\n",
-    "set_config(\"coordinate_system\", \"opta\")\n",
-    "\n",
-    "dataset = statsbomb.load_open_data()\n",
-    "\n",
-    "dataset.metadata.coordinate_system"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "471839e3",
-   "metadata": {},
-   "source": [
-    "## Config context\n",
-    "\n",
-    "Inspired by pandas kloppy allows you to set config variables for a context (using a context manager). Config set using `config_context` will be reverted to to original values when python exists the context"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "6fc5b89c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Before context: opta\n",
-      "Within context: statsbomb\n",
-      "After context: opta\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/kloppy-3.7.1-py3.10.egg/kloppy/_providers/statsbomb.py:67: UserWarning: \n",
-      "\n",
-      "You are about to use StatsBomb public data.\n",
-      "By using this data, you are agreeing to the user agreement. \n",
-      "The user agreement can be found here: https://github.com/statsbomb/open-data/blob/master/LICENSE.pdf\n",
-      "\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "StatsBombCoordinateSystem(normalized=False, length=120, width=80)"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "print(f\"Before context: {get_config('coordinate_system')}\")\n",
-    "with config_context(\"coordinate_system\", \"statsbomb\"):\n",
-    "    print(f\"Within context: {get_config('coordinate_system')}\")\n",
-    "    dataset = statsbomb.load_open_data()\n",
-    "    \n",
-    "print(f\"After context: {get_config('coordinate_system')}\")\n",
-    "dataset.metadata.coordinate_system"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "kloppy-venv",
-   "language": "python",
-   "name": "kloppy-venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/examples/event_data.ipynb b/docs/examples/event_data.ipynb
deleted file mode 100644
index 3aeb5304..00000000
--- a/docs/examples/event_data.ipynb
+++ /dev/null
@@ -1,1903 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Event data\n",
-    "\n",
-    "One of the main benefits of working with kloppy is that it loads metadata with the event data. This metadata includes teams (name, ground and provider id) and players (name, jersey number, optional position and provider id). Using this metadata, it becomes very easy to create an analysis that is usable by humans, because it includes names instead of only numbers.\n",
-    "\n",
-    "This section shows how metadata is organized and some use-cases."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Loading statsbomb data\n",
-    "\n",
-    "The datasets module of kloppy makes it trivial to load statsbomb data. Keep in mind that by using the data you accept the license of the open-data project.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "from kloppy import statsbomb\n",
-    "\n",
-    "dataset = statsbomb.load_open_data(event_types=[\"pass\", \"shot\"])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Exploring metadata\n",
-    "\n",
-    "kloppy always loads the metadata for you and makes it available at the `metadata` property. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "metadata = dataset.metadata\n",
-    "home_team, away_team = metadata.teams"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "After loading the data, the metadata can be used to iterate over teams and players. By default `metadata.teams` contain `[HomeTeam, AwayTeam]`. `Team` and `Player` entities have the `__str__` magic method implemented to help you cast it to a string. When you want to "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "home - Barcelona\n",
-      "away - Deportivo Alavés\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f\"{home_team.ground} - {home_team}\")\n",
-    "print(f\"{away_team.ground} - {away_team}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['Malcom Filipe Silva de Oliveira (14)',\n",
-       " 'Philippe Coutinho Correia (7)',\n",
-       " 'Sergio Busquets i Burgos (5)',\n",
-       " 'Jordi Alba Ramos (18)',\n",
-       " 'Gerard Piqué Bernabéu (3)',\n",
-       " 'Luis Alberto Suárez Díaz (9)',\n",
-       " 'Ivan Rakitić (4)',\n",
-       " 'Ousmane Dembélé (11)',\n",
-       " 'Samuel Yves Umtiti (23)',\n",
-       " 'Lionel Andrés Messi Cuccittini (10)',\n",
-       " 'Nélson Cabral Semedo (2)',\n",
-       " 'Sergi Roberto Carnicer (20)',\n",
-       " 'Clément Lenglet (15)',\n",
-       " 'Rafael Alcântara do Nascimento (12)',\n",
-       " 'Arturo Erasmo Vidal Pardo (22)',\n",
-       " 'Jasper Cillessen (13)',\n",
-       " 'Arthur Henrique Ramos de Oliveira Melo (8)',\n",
-       " 'Marc-André ter Stegen (1)']"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "[f\"{player} ({player.jersey_no})\" for player in home_team.players]\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'statsbomb team id: 217 - 206'"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# get provider id for team\n",
-    "f\"statsbomb team id: {home_team.team_id} - {away_team.team_id}\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['Malcom Filipe Silva de Oliveira id=3109',\n",
-       " 'Philippe Coutinho Correia id=3501',\n",
-       " 'Sergio Busquets i Burgos id=5203',\n",
-       " 'Jordi Alba Ramos id=5211',\n",
-       " 'Gerard Piqué Bernabéu id=5213',\n",
-       " 'Luis Alberto Suárez Díaz id=5246',\n",
-       " 'Ivan Rakitić id=5470',\n",
-       " 'Ousmane Dembélé id=5477',\n",
-       " 'Samuel Yves Umtiti id=5492',\n",
-       " 'Lionel Andrés Messi Cuccittini id=5503',\n",
-       " 'Nélson Cabral Semedo id=6374',\n",
-       " 'Sergi Roberto Carnicer id=6379',\n",
-       " 'Clément Lenglet id=6826',\n",
-       " 'Rafael Alcântara do Nascimento id=6998',\n",
-       " 'Arturo Erasmo Vidal Pardo id=8206',\n",
-       " 'Jasper Cillessen id=8652',\n",
-       " 'Arthur Henrique Ramos de Oliveira Melo id=11392',\n",
-       " 'Marc-André ter Stegen id=20055']"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# same for the players\n",
-    "[f\"{player} id={player.player_id}\" for player in metadata.teams[0].players]\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Jonathan Rodríguez Menéndez\n",
-      "Deportivo Alavés\n",
-      "Teams are comparable? True\n"
-     ]
-    }
-   ],
-   "source": [
-    "# get player from first event\n",
-    "player = dataset.events[0].player\n",
-    "print(player)\n",
-    "print(player.team)\n",
-    "print(f\"Teams are comparable? {player.team == away_team}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The `Team` and `Player` entities also contain the magic methods to use those keys in dictionaries or use them in sets. This makes it easy to do some calculations, and show the results without mapping the player_id to a name."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Jonathan Rodríguez Menéndez has 14 passes\n",
-      "Guillermo Alfonso Maripán Loaysa has 18 passes\n",
-      "Sergio Busquets i Burgos has 79 passes\n",
-      "Ivan Rakitić has 138 passes\n",
-      "Ousmane Dembélé has 65 passes\n",
-      "Jordi Alba Ramos has 121 passes\n",
-      "Víctor Laguardia Cisneros has 11 passes\n",
-      "Marc-André ter Stegen has 23 passes\n",
-      "Gerard Piqué Bernabéu has 79 passes\n",
-      "Nélson Cabral Semedo has 31 passes\n",
-      "Sergi Roberto Carnicer has 85 passes\n",
-      "Samuel Yves Umtiti has 63 passes\n",
-      "Lionel Andrés Messi Cuccittini has 92 passes\n",
-      "Rubén Duarte Sánchez has 25 passes\n",
-      "Ibai Gómez Pérez has 35 passes\n",
-      "Mubarak Wakaso has 23 passes\n",
-      "Manuel Alejandro García Sánchez has 23 passes\n",
-      "Rubén Sobrino Pozuelo has 17 passes\n",
-      "Luis Alberto Suárez Díaz has 38 passes\n",
-      "Fernando Pacheco Flores has 16 passes\n",
-      "Martín Aguirregabiria Padilla has 20 passes\n",
-      "Daniel Alejandro Torres Rojas has 16 passes\n",
-      "Philippe Coutinho Correia has 51 passes\n",
-      "Jorge Franco Alviz has 11 passes\n",
-      "Adrián Marín Gómez has 6 passes\n",
-      "Arthur Henrique Ramos de Oliveira Melo has 18 passes\n",
-      "Borja González Tomás has 7 passes\n",
-      "Arturo Erasmo Vidal Pardo has 7 passes\n"
-     ]
-    }
-   ],
-   "source": [
-    "from collections import defaultdict\n",
-    "\n",
-    "passes_per_player = defaultdict(list)\n",
-    "for event in dataset.events:\n",
-    "    if event.event_name == \"pass\":\n",
-    "        passes_per_player[event.player].append(event)\n",
-    "        \n",
-    "for player, passes in passes_per_player.items():\n",
-    "    print(f\"{player} has {len(passes)} passes\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's filter on home_team."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Sergio Busquets i Burgos has 79 passes\n",
-      "Ivan Rakitić has 138 passes\n",
-      "Ousmane Dembélé has 65 passes\n",
-      "Jordi Alba Ramos has 121 passes\n",
-      "Marc-André ter Stegen has 23 passes\n",
-      "Gerard Piqué Bernabéu has 79 passes\n",
-      "Nélson Cabral Semedo has 31 passes\n",
-      "Sergi Roberto Carnicer has 85 passes\n",
-      "Samuel Yves Umtiti has 63 passes\n",
-      "Lionel Andrés Messi Cuccittini has 92 passes\n",
-      "Luis Alberto Suárez Díaz has 38 passes\n",
-      "Philippe Coutinho Correia has 51 passes\n",
-      "Arthur Henrique Ramos de Oliveira Melo has 18 passes\n",
-      "Arturo Erasmo Vidal Pardo has 7 passes\n"
-     ]
-    }
-   ],
-   "source": [
-    "for player, passes in passes_per_player.items():\n",
-    "    if player.team == home_team:\n",
-    "        print(f\"{player} has {len(passes)} passes\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Use metadata when transforming to pandas dataframe\n",
-    "\n",
-    "The metadata can also be used when transforming a dataset to a pandas dataframe. Using keyword argument additional columns can be created."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>event_id</th>\n",
-       "      <th>event_type</th>\n",
-       "      <th>result</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>player_id</th>\n",
-       "      <th>player_name</th>\n",
-       "      <th>team_name</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>34208ade-2af4-45c3-970e-655937cad938</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>COMPLETE</td>\n",
-       "      <td>0.098</td>\n",
-       "      <td>6581</td>\n",
-       "      <td>Jonathan Rodríguez Menéndez</td>\n",
-       "      <td>Deportivo Alavés</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>d1cccb73-c7ef-4b02-8267-ebd7f149904b</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>INCOMPLETE</td>\n",
-       "      <td>3.497</td>\n",
-       "      <td>6855</td>\n",
-       "      <td>Guillermo Alfonso Maripán Loaysa</td>\n",
-       "      <td>Deportivo Alavés</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>f1cc47d6-4b19-45a6-beb9-33d67fc83f4b</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>COMPLETE</td>\n",
-       "      <td>6.785</td>\n",
-       "      <td>5203</td>\n",
-       "      <td>Sergio Busquets i Burgos</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>f774571f-4b65-43a0-9bfc-6384948d1b82</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>COMPLETE</td>\n",
-       "      <td>8.431</td>\n",
-       "      <td>5470</td>\n",
-       "      <td>Ivan Rakitić</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>46f0e871-3e72-4817-9a53-af27583ba6c1</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>COMPLETE</td>\n",
-       "      <td>10.433</td>\n",
-       "      <td>5477</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>Barcelona</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                               event_id event_type      result  timestamp  \\\n",
-       "0  34208ade-2af4-45c3-970e-655937cad938       PASS    COMPLETE      0.098   \n",
-       "1  d1cccb73-c7ef-4b02-8267-ebd7f149904b       PASS  INCOMPLETE      3.497   \n",
-       "2  f1cc47d6-4b19-45a6-beb9-33d67fc83f4b       PASS    COMPLETE      6.785   \n",
-       "3  f774571f-4b65-43a0-9bfc-6384948d1b82       PASS    COMPLETE      8.431   \n",
-       "4  46f0e871-3e72-4817-9a53-af27583ba6c1       PASS    COMPLETE     10.433   \n",
-       "\n",
-       "  player_id                       player_name         team_name  \n",
-       "0      6581       Jonathan Rodríguez Menéndez  Deportivo Alavés  \n",
-       "1      6855  Guillermo Alfonso Maripán Loaysa  Deportivo Alavés  \n",
-       "2      5203          Sergio Busquets i Burgos         Barcelona  \n",
-       "3      5470                      Ivan Rakitić         Barcelona  \n",
-       "4      5477                   Ousmane Dembélé         Barcelona  "
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "\n",
-    "dataframe = dataset.to_df(\n",
-    "    \"*\",  # Get all default columns\n",
-    "    player_name=lambda event: str(event.player),\n",
-    "    team_name=lambda event: str(event.player.team)\n",
-    ")\n",
-    "\n",
-    "dataframe[[\n",
-    "    'event_id', 'event_type', 'result', 'timestamp', 'player_id', \n",
-    "    'player_name', 'team_name'\n",
-    "]].head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Attribute transformers\n",
-    "\n",
-    "Attribute transformer make it possible to add predefined attributes to a dataset. The attributes are calculated during export to a pandas DataFrame. Kloppy does provide some Transformers like one to calculate the angle to the goal, and one to calculate the distance to the goal. When you need additional Transformers you can write your one by providing a `Callable` to `to_df`. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>angle_to_goal</th>\n",
-       "      <th>distance_to_goal</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>90.481466</td>\n",
-       "      <td>59.502101</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>82.249964</td>\n",
-       "      <td>85.278954</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>69.187354</td>\n",
-       "      <td>91.468574</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>77.005383</td>\n",
-       "      <td>86.720816</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>66.562013</td>\n",
-       "      <td>94.278842</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1155</th>\n",
-       "      <td>121.578165</td>\n",
-       "      <td>63.972650</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1156</th>\n",
-       "      <td>104.393593</td>\n",
-       "      <td>58.330952</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1157</th>\n",
-       "      <td>39.559668</td>\n",
-       "      <td>44.749302</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1158</th>\n",
-       "      <td>71.095424</td>\n",
-       "      <td>38.581083</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1159</th>\n",
-       "      <td>55.901268</td>\n",
-       "      <td>9.721368</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1160 rows × 2 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      angle_to_goal  distance_to_goal\n",
-       "0         90.481466         59.502101\n",
-       "1         82.249964         85.278954\n",
-       "2         69.187354         91.468574\n",
-       "3         77.005383         86.720816\n",
-       "4         66.562013         94.278842\n",
-       "...             ...               ...\n",
-       "1155     121.578165         63.972650\n",
-       "1156     104.393593         58.330952\n",
-       "1157      39.559668         44.749302\n",
-       "1158      71.095424         38.581083\n",
-       "1159      55.901268          9.721368\n",
-       "\n",
-       "[1160 rows x 2 columns]"
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from kloppy import statsbomb\n",
-    "\n",
-    "from kloppy.domain.services.transformers.attribute import (\n",
-    "    BodyPartTransformer, AngleToGoalTransformer, DistanceToGoalTransformer\n",
-    ")\n",
-    "\n",
-    "dataset = statsbomb.load_open_data(\n",
-    "    event_types=[\"pass\", \"shot\"], \n",
-    "    coordinates=\"statsbomb\"\n",
-    ")\n",
-    "\n",
-    "dataset.to_df(\n",
-    "    AngleToGoalTransformer(),\n",
-    "    DistanceToGoalTransformer()\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'is_body_part_right_foot': False, 'is_body_part_left_foot': True, 'is_body_part_head': False, 'is_body_part_both_hands': False, 'is_body_part_chest': False, 'is_body_part_left_hand': False, 'is_body_part_right_hand': False, 'is_body_part_drop_kick': False, 'is_body_part_keeper_arm': False, 'is_body_part_other': False, 'is_body_part_no_touch': False}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'angle_to_goal': 90.48146580583835}"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "event = dataset.events[0]\n",
-    "\n",
-    "transformer = BodyPartTransformer(encoding=\"one-hot\")\n",
-    "print(transformer(event))\n",
-    "\n",
-    "\n",
-    "transformer = AngleToGoalTransformer()\n",
-    "transformer(event)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Wildcard\n",
-    "\n",
-    "When you want to export a set of attributes you can specify a wildcard pattern. This pattern is matched against all default (exported by the `Default` Transformer) attributes."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>coordinates_x</th>\n",
-       "      <th>coordinates_y</th>\n",
-       "      <th>end_coordinates_x</th>\n",
-       "      <th>end_coordinates_y</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.098</td>\n",
-       "      <td>60.50</td>\n",
-       "      <td>40.50</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>25.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>3.497</td>\n",
-       "      <td>35.50</td>\n",
-       "      <td>28.50</td>\n",
-       "      <td>85.5</td>\n",
-       "      <td>72.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>6.785</td>\n",
-       "      <td>34.50</td>\n",
-       "      <td>7.50</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>20.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>8.431</td>\n",
-       "      <td>35.50</td>\n",
-       "      <td>20.50</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>1.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1</td>\n",
-       "      <td>10.433</td>\n",
-       "      <td>33.50</td>\n",
-       "      <td>2.50</td>\n",
-       "      <td>25.5</td>\n",
-       "      <td>1.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1155</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2787.914</td>\n",
-       "      <td>65.50</td>\n",
-       "      <td>73.50</td>\n",
-       "      <td>59.5</td>\n",
-       "      <td>60.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1156</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2791.395</td>\n",
-       "      <td>63.50</td>\n",
-       "      <td>54.50</td>\n",
-       "      <td>89.5</td>\n",
-       "      <td>5.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1157</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2795.127</td>\n",
-       "      <td>91.50</td>\n",
-       "      <td>5.50</td>\n",
-       "      <td>90.5</td>\n",
-       "      <td>26.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1158</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2798.906</td>\n",
-       "      <td>83.50</td>\n",
-       "      <td>27.50</td>\n",
-       "      <td>106.5</td>\n",
-       "      <td>44.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1159</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2802.770</td>\n",
-       "      <td>111.95</td>\n",
-       "      <td>34.55</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1160 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      period_id  timestamp  coordinates_x  coordinates_y  end_coordinates_x  \\\n",
-       "0             1      0.098          60.50          40.50               35.5   \n",
-       "1             1      3.497          35.50          28.50               85.5   \n",
-       "2             1      6.785          34.50           7.50               34.5   \n",
-       "3             1      8.431          35.50          20.50               35.5   \n",
-       "4             1     10.433          33.50           2.50               25.5   \n",
-       "...         ...        ...            ...            ...                ...   \n",
-       "1155          2   2787.914          65.50          73.50               59.5   \n",
-       "1156          2   2791.395          63.50          54.50               89.5   \n",
-       "1157          2   2795.127          91.50           5.50               90.5   \n",
-       "1158          2   2798.906          83.50          27.50              106.5   \n",
-       "1159          2   2802.770         111.95          34.55                NaN   \n",
-       "\n",
-       "      end_coordinates_y  \n",
-       "0                  25.5  \n",
-       "1                  72.5  \n",
-       "2                  20.5  \n",
-       "3                   1.5  \n",
-       "4                   1.5  \n",
-       "...                 ...  \n",
-       "1155               60.5  \n",
-       "1156                5.5  \n",
-       "1157               26.5  \n",
-       "1158               44.5  \n",
-       "1159                NaN  \n",
-       "\n",
-       "[1160 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataset.to_df(\n",
-    "    'period_id',\n",
-    "    'timestamp',\n",
-    "    '*coordinates*',\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## User-defined Transformers\n",
-    "\n",
-    "Transformers are nothing more than a function which accepts a `Event` and returns `Dict` (`Callable[[Event], Dict])`). The Transformers provided by kloppy are actually classes that define a `__call__` method. You can also use a `lambda` function or any other function to transform attributes.\n",
-    "\n",
-    "When you use named attributes (specified using a keyword argument) the returned value can be any type (`Callable[[Event], Any]`). "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>period</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>some_columns</th>\n",
-       "      <th>other_column</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.098</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>62</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>3.497</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>252</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>6.785</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>194</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>8.431</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>121</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1</td>\n",
-       "      <td>10.433</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>161</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1155</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2787.914</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>230</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1156</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2791.395</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1157</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2795.127</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>151</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1158</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2798.906</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>160</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1159</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2802.770</td>\n",
-       "      <td>1234</td>\n",
-       "      <td>242</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1160 rows × 4 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      period  timestamp  some_columns  other_column\n",
-       "0          1      0.098          1234            62\n",
-       "1          1      3.497          1234           252\n",
-       "2          1      6.785          1234           194\n",
-       "3          1      8.431          1234           121\n",
-       "4          1     10.433          1234           161\n",
-       "...      ...        ...           ...           ...\n",
-       "1155       2   2787.914          1234           230\n",
-       "1156       2   2791.395          1234           153\n",
-       "1157       2   2795.127          1234           151\n",
-       "1158       2   2798.906          1234           160\n",
-       "1159       2   2802.770          1234           242\n",
-       "\n",
-       "[1160 rows x 4 columns]"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import random\n",
-    "\n",
-    "dataset.to_df(\n",
-    "    # Unnamed transformer must always be defined as a Callable. The function must return a Dictionary\n",
-    "    lambda event: {'period': event.period.id, 'timestamp': event.timestamp},\n",
-    "    \n",
-    "    # Named transformer can be specified as a constant\n",
-    "    some_columns=1234,\n",
-    "    \n",
-    "    # Or as a callable\n",
-    "    other_column=lambda x: random.randint(0, 255)\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Polars\n",
-    "\n",
-    "Since version 3.8.0 it's possible to export a `Dataset` to a [Polars](https://www.pola.rs/) dataframe."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<style>\n",
-       ".pl-dataframe > thead > tr > th {\n",
-       "  text-align: right;\n",
-       "}\n",
-       "</style>\n",
-       "\n",
-       "<table border=\"1\" class=\"dataframe pl-dataframe\">\n",
-       "<small>shape: (5, 19)</small>\n",
-       "<thead>\n",
-       "<tr>\n",
-       "<th>\n",
-       "event_id\n",
-       "</th>\n",
-       "<th>\n",
-       "event_type\n",
-       "</th>\n",
-       "<th>\n",
-       "result\n",
-       "</th>\n",
-       "<th>\n",
-       "success\n",
-       "</th>\n",
-       "<th>\n",
-       "period_id\n",
-       "</th>\n",
-       "<th>\n",
-       "timestamp\n",
-       "</th>\n",
-       "<th>\n",
-       "end_timestamp\n",
-       "</th>\n",
-       "<th>\n",
-       "ball_state\n",
-       "</th>\n",
-       "<th>\n",
-       "ball_owning_team\n",
-       "</th>\n",
-       "<th>\n",
-       "team_id\n",
-       "</th>\n",
-       "<th>\n",
-       "player_id\n",
-       "</th>\n",
-       "<th>\n",
-       "coordinates_x\n",
-       "</th>\n",
-       "<th>\n",
-       "coordinates_y\n",
-       "</th>\n",
-       "<th>\n",
-       "end_coordinates_x\n",
-       "</th>\n",
-       "<th>\n",
-       "end_coordinates_y\n",
-       "</th>\n",
-       "<th>\n",
-       "receiver_player_id\n",
-       "</th>\n",
-       "<th>\n",
-       "set_piece_type\n",
-       "</th>\n",
-       "<th>\n",
-       "body_part_type\n",
-       "</th>\n",
-       "<th>\n",
-       "pass_type\n",
-       "</th>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "<td>\n",
-       "str\n",
-       "</td>\n",
-       "<td>\n",
-       "str\n",
-       "</td>\n",
-       "<td>\n",
-       "str\n",
-       "</td>\n",
-       "<td>\n",
-       "bool\n",
-       "</td>\n",
-       "<td>\n",
-       "i64\n",
-       "</td>\n",
-       "<td>\n",
-       "f64\n",
-       "</td>\n",
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-       "f64\n",
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-       "<td>\n",
-       "str\n",
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-       "<td>\n",
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-       "<td>\n",
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-       "str\n",
-       "</td>\n",
-       "<td>\n",
-       "f64\n",
-       "</td>\n",
-       "<td>\n",
-       "f64\n",
-       "</td>\n",
-       "<td>\n",
-       "f64\n",
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-       "<td>\n",
-       "f64\n",
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-       "<td>\n",
-       "str\n",
-       "</td>\n",
-       "</tr>\n",
-       "</thead>\n",
-       "<tbody>\n",
-       "<tr>\n",
-       "<td>\n",
-       "&quot;19edeac2-e63f-...\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;GENERIC:Starti...\n",
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-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "1\n",
-       "</td>\n",
-       "<td>\n",
-       "0.0\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;alive&quot;\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;909&quot;\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;909&quot;\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
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-       "<td>\n",
-       "null\n",
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-       "</tr>\n",
-       "<tr>\n",
-       "<td>\n",
-       "&quot;89072e2e-b64f-...\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;GENERIC:Starti...\n",
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-       "1\n",
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-       "0.0\n",
-       "</td>\n",
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-       "&quot;alive&quot;\n",
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-       "&quot;909&quot;\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;914&quot;\n",
-       "</td>\n",
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-       "<td>\n",
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-       "&quot;909&quot;\n",
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-       "&quot;bbc398f7-c784-...\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;PASS&quot;\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;COMPLETE&quot;\n",
-       "</td>\n",
-       "<td>\n",
-       "true\n",
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-       "&quot;909&quot;\n",
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-       "&quot;909&quot;\n",
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-       "&quot;11086&quot;\n",
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-       "59.95\n",
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-       "39.95\n",
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-       "<td>\n",
-       "32.45\n",
-       "</td>\n",
-       "<td>\n",
-       "28.75\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;8963&quot;\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;KICK_OFF&quot;\n",
-       "</td>\n",
-       "<td>\n",
-       "&quot;RIGHT_FOOT&quot;\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "</tr>\n",
-       "</tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "shape: (5, 19)\n",
-       "┌─────────┬──────────┬──────────┬─────────┬─────┬────────────┬────────────┬────────────┬───────────┐\n",
-       "│ event_i ┆ event_ty ┆ result   ┆ success ┆ ... ┆ receiver_p ┆ set_piece_ ┆ body_part_ ┆ pass_type │\n",
-       "│ d       ┆ pe       ┆ ---      ┆ ---     ┆     ┆ layer_id   ┆ type       ┆ type       ┆ ---       │\n",
-       "│ ---     ┆ ---      ┆ str      ┆ bool    ┆     ┆ ---        ┆ ---        ┆ ---        ┆ str       │\n",
-       "│ str     ┆ str      ┆          ┆         ┆     ┆ str        ┆ str        ┆ str        ┆           │\n",
-       "╞═════════╪══════════╪══════════╪═════════╪═════╪════════════╪════════════╪════════════╪═══════════╡\n",
-       "│ 19edeac ┆ GENERIC: ┆ null     ┆ null    ┆ ... ┆ null       ┆ null       ┆ null       ┆ null      │\n",
-       "│ 2-e63f- ┆ Starting ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 4795-8a ┆ XI       ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 8b-17a6 ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ e9fd... ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 89072e2 ┆ GENERIC: ┆ null     ┆ null    ┆ ... ┆ null       ┆ null       ┆ null       ┆ null      │\n",
-       "│ e-b64f- ┆ Starting ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 4099-84 ┆ XI       ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 6b-b22c ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ f000... ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 46c6901 ┆ GENERIC: ┆ null     ┆ null    ┆ ... ┆ null       ┆ null       ┆ null       ┆ null      │\n",
-       "│ e-3b12- ┆ Half     ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 495a-b6 ┆ Start    ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 8a-19ca ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 1579... ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 9e5b064 ┆ GENERIC: ┆ null     ┆ null    ┆ ... ┆ null       ┆ null       ┆ null       ┆ null      │\n",
-       "│ 6-91cc- ┆ Half     ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 49a1-bf ┆ Start    ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 88-39bd ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ e773... ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ bbc398f ┆ PASS     ┆ COMPLETE ┆ true    ┆ ... ┆ 8963       ┆ KICK_OFF   ┆ RIGHT_FOOT ┆ null      │\n",
-       "│ 7-c784- ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 4958-a5 ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 04-37b5 ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "│ 83ca... ┆          ┆          ┆         ┆     ┆            ┆            ┆            ┆           │\n",
-       "└─────────┴──────────┴──────────┴─────────┴─────┴────────────┴────────────┴────────────┴───────────┘"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# %pip install polars\n",
-    "# you might need to install polars\n",
-    "\n",
-    "df = dataset.to_df(\n",
-    "    engine=\"polars\"\n",
-    ")\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## to_records\n",
-    "\n",
-    "Under the hood the `to_df` method uses the `to_records` method. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[{'period': 1, 'timestamp': 0.098, 'some_columns': 1234, 'other_column': 42},\n",
-       " {'period': 1, 'timestamp': 3.497, 'some_columns': 1234, 'other_column': 72},\n",
-       " {'period': 1, 'timestamp': 6.785, 'some_columns': 1234, 'other_column': 135},\n",
-       " {'period': 1, 'timestamp': 8.431, 'some_columns': 1234, 'other_column': 100},\n",
-       " {'period': 1, 'timestamp': 10.433, 'some_columns': 1234, 'other_column': 193},\n",
-       " {'period': 1, 'timestamp': 11.15, 'some_columns': 1234, 'other_column': 64},\n",
-       " {'period': 1, 'timestamp': 24.687, 'some_columns': 1234, 'other_column': 22},\n",
-       " {'period': 1, 'timestamp': 30.008, 'some_columns': 1234, 'other_column': 157},\n",
-       " {'period': 1, 'timestamp': 34.738, 'some_columns': 1234, 'other_column': 73},\n",
-       " {'period': 1, 'timestamp': 37.467, 'some_columns': 1234, 'other_column': 226}]"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "records = dataset.to_records(\n",
-    "    # Unnamed transformer must always be defined as a Callable. The function must return a Dictionary\n",
-    "    lambda event: {'period': event.period.id, 'timestamp': event.timestamp},\n",
-    "    \n",
-    "    # Named transformer can be specified as a constant\n",
-    "    some_columns=1234,\n",
-    "    \n",
-    "    # Or as a callable\n",
-    "    other_column=lambda x: random.randint(0, 255)\n",
-    ")\n",
-    "records[:10]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## EventFactory\n",
-    "\n",
-    "In some cases like to use your own `Event` classes. This can be useful when you need certain data that isn't stored in the regular `Event` classes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>statsbomb_xg</th>\n",
-       "      <th>player</th>\n",
-       "      <th>timestamp</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.075164</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>149.094</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.062892</td>\n",
-       "      <td>Jordi Alba Ramos</td>\n",
-       "      <td>339.239</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.020535</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>928.625</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.096234</td>\n",
-       "      <td>Rubén Sobrino Pozuelo</td>\n",
-       "      <td>979.616</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0.035420</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>1095.914</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>0.089920</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>1842.287</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>0.071365</td>\n",
-       "      <td>Ivan Rakitić</td>\n",
-       "      <td>2104.861</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.078886</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>2248.168</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>0.171218</td>\n",
-       "      <td>Gerard Piqué Bernabéu</td>\n",
-       "      <td>2250.989</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.226095</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>2308.083</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>0.257290</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>2434.592</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>0.145402</td>\n",
-       "      <td>Ousmane Dembélé</td>\n",
-       "      <td>2610.612</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>0.143644</td>\n",
-       "      <td>Jordi Alba Ramos</td>\n",
-       "      <td>2864.792</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>0.034266</td>\n",
-       "      <td>Mubarak Wakaso</td>\n",
-       "      <td>3072.668</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>0.018334</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>3239.623</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>0.014615</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>3301.656</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>0.039418</td>\n",
-       "      <td>Jordi Alba Ramos</td>\n",
-       "      <td>3339.758</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>0.026228</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>3446.115</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>0.031532</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>3641.424</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>0.137812</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>3797.222</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>0.081403</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>3948.856</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>0.009953</td>\n",
-       "      <td>Ivan Rakitić</td>\n",
-       "      <td>4118.643</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>0.337188</td>\n",
-       "      <td>Luis Alberto Suárez Díaz</td>\n",
-       "      <td>4352.760</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>0.137859</td>\n",
-       "      <td>Adrián Marín Gómez</td>\n",
-       "      <td>4702.947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>0.379632</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>4896.874</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>0.086874</td>\n",
-       "      <td>Philippe Coutinho Correia</td>\n",
-       "      <td>4966.846</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>0.262502</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>5367.906</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>0.289481</td>\n",
-       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
-       "      <td>5508.038</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    statsbomb_xg                          player  timestamp\n",
-       "0       0.075164  Lionel Andrés Messi Cuccittini    149.094\n",
-       "1       0.062892                Jordi Alba Ramos    339.239\n",
-       "2       0.020535  Lionel Andrés Messi Cuccittini    928.625\n",
-       "3       0.096234           Rubén Sobrino Pozuelo    979.616\n",
-       "4       0.035420        Luis Alberto Suárez Díaz   1095.914\n",
-       "5       0.089920                 Ousmane Dembélé   1842.287\n",
-       "6       0.071365                    Ivan Rakitić   2104.861\n",
-       "7       0.078886  Lionel Andrés Messi Cuccittini   2248.168\n",
-       "8       0.171218           Gerard Piqué Bernabéu   2250.989\n",
-       "9       0.226095                 Ousmane Dembélé   2308.083\n",
-       "10      0.257290        Luis Alberto Suárez Díaz   2434.592\n",
-       "11      0.145402                 Ousmane Dembélé   2610.612\n",
-       "12      0.143644                Jordi Alba Ramos   2864.792\n",
-       "13      0.034266                  Mubarak Wakaso   3072.668\n",
-       "14      0.018334        Luis Alberto Suárez Díaz   3239.623\n",
-       "15      0.014615       Philippe Coutinho Correia   3301.656\n",
-       "16      0.039418                Jordi Alba Ramos   3339.758\n",
-       "17      0.026228  Lionel Andrés Messi Cuccittini   3446.115\n",
-       "18      0.031532       Philippe Coutinho Correia   3641.424\n",
-       "19      0.137812  Lionel Andrés Messi Cuccittini   3797.222\n",
-       "20      0.081403  Lionel Andrés Messi Cuccittini   3948.856\n",
-       "21      0.009953                    Ivan Rakitić   4118.643\n",
-       "22      0.337188        Luis Alberto Suárez Díaz   4352.760\n",
-       "23      0.137859              Adrián Marín Gómez   4702.947\n",
-       "24      0.379632       Philippe Coutinho Correia   4896.874\n",
-       "25      0.086874       Philippe Coutinho Correia   4966.846\n",
-       "26      0.262502  Lionel Andrés Messi Cuccittini   5367.906\n",
-       "27      0.289481  Lionel Andrés Messi Cuccittini   5508.038"
-      ]
-     },
-     "execution_count": 70,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from dataclasses import dataclass\n",
-    "\n",
-    "from kloppy.domain import EventFactory, create_event, ShotEvent\n",
-    "from kloppy import statsbomb\n",
-    "\n",
-    "\n",
-    "@dataclass(repr=False)\n",
-    "class StatsBombShotEvent(ShotEvent):\n",
-    "    statsbomb_xg: float = None\n",
-    "    \n",
-    "    \n",
-    "class StatsBombEventFactory(EventFactory):\n",
-    "    def build_shot(self, **kwargs) -> ShotEvent:\n",
-    "        kwargs['statsbomb_xg'] = kwargs['raw_event']['shot']['statsbomb_xg']\n",
-    "        return create_event(StatsBombShotEvent, **kwargs)\n",
-    "       \n",
-    "        \n",
-    "event_factory = StatsBombEventFactory()\n",
-    "\n",
-    "dataset = statsbomb.load_open_data(event_factory=event_factory)\n",
-    "\n",
-    "dataset.filter(\"shot\").to_df(\n",
-    "    \"statsbomb_xg\",\n",
-    "    \"player\",\n",
-    "    timestamp=lambda event: event.period.start_timestamp + event.timestamp,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Freeze frame\n",
-    "\n",
-    "For event data it's very useful to have additional context about the event. This can be a metric like packing or xG, but also the frame of tracking data. This freeze frame contains player coordinates. Some providers retrieve the information from broadcast video feeds and therefore only the coordinates of players visible in the feed are known.\n",
-    "Furthermore the vendor might include only the team of the player, and not a player identifier."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dataset = statsbomb.load_open_data(\n",
-    "    match_id='3788741',\n",
-    "    coordinates=\"statsbomb\"\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "event = dataset.find(\"shot\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# You might need to install mplsoccer package\n",
-    "# %pip install mplsoccer\n",
-    "\n",
-    "from mplsoccer.pitch import Pitch\n",
-    "\n",
-    "home_team = dataset.metadata.teams[0]\n",
-    "\n",
-    "pitch = Pitch(pitch_type='statsbomb',\n",
-    "              pitch_color='white', line_color='#c7d5cc')\n",
-    "fig, ax = pitch.draw()\n",
-    "\n",
-    "def get_color(player):\n",
-    "    if player == event.player:\n",
-    "        return \"blue\"\n",
-    "    elif player.team == event.player.team:\n",
-    "        return \"green\"\n",
-    "    elif player.position.position_id == '1':\n",
-    "        return \"black\"\n",
-    "    else:\n",
-    "        return \"grey\"\n",
-    "\n",
-    "x, y, color = zip(*[\n",
-    "  (coordinates.x, coordinates.y, get_color(player))\n",
-    "     for player, coordinates in event.freeze_frame.players_coordinates.items()\n",
-    "])\n",
-    "\n",
-    "_ = pitch.scatter(x, y, color=color, ax=ax)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "kloppy-venv",
-   "language": "python",
-   "name": "kloppy-venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.13"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": true,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {},
-   "toc_section_display": true,
-   "toc_window_display": false
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/examples/navigating.ipynb b/docs/examples/navigating.ipynb
deleted file mode 100644
index d4186e92..00000000
--- a/docs/examples/navigating.ipynb
+++ /dev/null
@@ -1,525 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "d5e58e18",
-   "metadata": {},
-   "source": [
-    "# Navigating\n",
-    "\n",
-    "Kloppy 3.2 adds some powerfull tools to navigate through you event data. In this tutorial you will learn how to use them.\n",
-    "\n",
-    "\n",
-    "## Dataset\n",
-    "\n",
-    "On dataset level it's possible to use `filter`, `find` and `find_all`. All these functions access the same argument for finding the right events.\n",
-    "You can pass a string or a function. In case of a string is must be either 'event_type', 'event_type.result' or '.result'. Some examples: 'shot.goal', 'pass' or '.complete'.\n",
-    "\n",
-    "Lets have a look at how these work.\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "c910dd35",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/kloppy-3.7.1-py3.10.egg/kloppy/_providers/statsbomb.py:67: UserWarning: \n",
-      "\n",
-      "You are about to use StatsBomb public data.\n",
-      "By using this data, you are agreeing to the user agreement. \n",
-      "The user agreement can be found here: https://github.com/statsbomb/open-data/blob/master/LICENSE.pdf\n",
-      "\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>event_id</th>\n",
-       "      <th>event_type</th>\n",
-       "      <th>result</th>\n",
-       "      <th>success</th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>end_timestamp</th>\n",
-       "      <th>ball_state</th>\n",
-       "      <th>ball_owning_team</th>\n",
-       "      <th>team_id</th>\n",
-       "      <th>player_id</th>\n",
-       "      <th>coordinates_x</th>\n",
-       "      <th>coordinates_y</th>\n",
-       "      <th>end_coordinates_x</th>\n",
-       "      <th>end_coordinates_y</th>\n",
-       "      <th>body_part_type</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>4c7c4ab1-6b9f-4504-a237-249c2e0c549f</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>GOAL</td>\n",
-       "      <td>True</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1091.954</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.800417</td>\n",
-       "      <td>0.563125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>683c6752-13bc-4892-94ed-22e1c938f1f7</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>GOAL</td>\n",
-       "      <td>True</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2261.578</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>3501</td>\n",
-       "      <td>0.875417</td>\n",
-       "      <td>0.388125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>55d71847-9511-4417-aea9-6f415e279011</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>GOAL</td>\n",
-       "      <td>True</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2802.770</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.932917</td>\n",
-       "      <td>0.431875</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                               event_id event_type result  success  period_id  \\\n",
-       "0  4c7c4ab1-6b9f-4504-a237-249c2e0c549f       SHOT   GOAL     True          2   \n",
-       "1  683c6752-13bc-4892-94ed-22e1c938f1f7       SHOT   GOAL     True          2   \n",
-       "2  55d71847-9511-4417-aea9-6f415e279011       SHOT   GOAL     True          2   \n",
-       "\n",
-       "   timestamp end_timestamp ball_state ball_owning_team team_id player_id  \\\n",
-       "0   1091.954          None      alive              217     217      5503   \n",
-       "1   2261.578          None      alive              217     217      3501   \n",
-       "2   2802.770          None      alive              217     217      5503   \n",
-       "\n",
-       "   coordinates_x  coordinates_y end_coordinates_x end_coordinates_y  \\\n",
-       "0       0.800417       0.563125              None              None   \n",
-       "1       0.875417       0.388125              None              None   \n",
-       "2       0.932917       0.431875              None              None   \n",
-       "\n",
-       "  body_part_type  \n",
-       "0      LEFT_FOOT  \n",
-       "1     RIGHT_FOOT  \n",
-       "2      LEFT_FOOT  "
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from kloppy import statsbomb\n",
-    "\n",
-    "# Load a Statsbomb open data dataset\n",
-    "dataset = statsbomb.load_open_data()\n",
-    "\n",
-    "# Create a new dataset which contains all goals\n",
-    "filtered_dataset = dataset.filter('shot.goal')\n",
-    "\n",
-    "# Show the results\n",
-    "filtered_dataset.to_df()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6fe919e7",
-   "metadata": {},
-   "source": [
-    "The filtered dataset doesn't contain any events other than goals. Lets validate that. When we try to find all passes we should get an empty list"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "57aac560",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "passes = filtered_dataset.find_all('pass')\n",
-    "len(passes)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4cd3edb8",
-   "metadata": {},
-   "source": [
-    "The original dataset does contain passes, right?"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "45de2f06",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1132"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "passes = dataset.find_all('pass')\n",
-    "len(passes)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3239a684",
-   "metadata": {},
-   "source": [
-    "Now we already touched the `find_all` method. This method accepts the same argument. The difference is that `find_all` returns a list of events, where `filter` returns a new Dataset. The `find` method return the first matching event or None when it cannot find one."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "2df283f7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<StatsBombShotEvent event_id='65f16e50-7c5d-4293-b2fc-d20887a772f9' time='P1T02:29' player='Lionel Andrés Messi Cuccittini' result='OFF_TARGET'>"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataset.find('shot')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "7c432ca0",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "None\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(filtered_dataset.find('pass'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4b5120a9",
-   "metadata": {},
-   "source": [
-    "## Event\n",
-    "\n",
-    "On Event level there are also some new methods for navigating. The `prev` and `next` methods are added. These allow you to quickly find previous or next events. But those two methods also accept the filter argument like the Dataset methods do. This makes useful to find a certain type of event instead of just the one before/after.\n",
-    "\n",
-    "Lets have look at how this works"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "31fd93a8",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/kloppy-3.7.1-py3.10.egg/kloppy/_providers/statsbomb.py:67: UserWarning: \n",
-      "\n",
-      "You are about to use StatsBomb public data.\n",
-      "By using this data, you are agreeing to the user agreement. \n",
-      "The user agreement can be found here: https://github.com/statsbomb/open-data/blob/master/LICENSE.pdf\n",
-      "\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<StatsBombShotEvent event_id='4c7c4ab1-6b9f-4504-a237-249c2e0c549f' time='P2T18:12' player='Lionel Andrés Messi Cuccittini' result='GOAL'>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Load a Statsbomb open data dataset\n",
-    "dataset = statsbomb.load_open_data()\n",
-    "\n",
-    "first_goal = dataset.find('shot.goal')\n",
-    "first_goal"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "98dda35c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<GenericEvent:Foul Won event_id='eed04441-624f-4f23-9843-7bd069c16232' time='P2T17:02' player='Lionel Andrés Messi Cuccittini' result='None'>\n",
-      "<StatsBombShotEvent event_id='4c7c4ab1-6b9f-4504-a237-249c2e0c549f' time='P2T18:12' player='Lionel Andrés Messi Cuccittini' result='GOAL'>\n",
-      "<GenericEvent:Goal Keeper event_id='5080ad86-383c-40c5-b718-508d8c9be454' time='P2T18:13' player='Fernando Pacheco Flores' result='None'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Lets previous and next events\n",
-    "print(first_goal.prev())\n",
-    "print(first_goal)\n",
-    "print(first_goal.next())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9be4a6a1",
-   "metadata": {},
-   "source": [
-    "But what if we want to find the last complete pass before the goal?"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "841fa959",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<StatsBombPassEvent event_id='df4a42e4-e5d3-4573-853a-604e46a588d4' time='P2T16:58' player='Ivan Rakitić' result='COMPLETE'>"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "first_goal.prev('pass.complete')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b7026192",
-   "metadata": {},
-   "source": [
-    "Or when we don't care about the event type, but want to make sure it's complete.."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "16aad417",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<CarryEvent event_id='95bded73-4861-4374-99cf-2a278ff07ea6' time='P2T17:02' player='Lionel Andrés Messi Cuccittini' result='COMPLETE'>"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "first_goal.prev('.complete')\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9b5514bd",
-   "metadata": {},
-   "source": [
-    "## Related events\n",
-    "\n",
-    "Some vendors include `related_events` in their data. The related events can be accessed via `get_related_events` method, or by `related_pass`, `related_carry`, etc for each event type.\n",
-    "\n",
-    "The `get_related_events` returns a list which can be empty. The `related_pass` methods return an Event or None when that type is not specified."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "963e687d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<TakeOnEvent event_id='a1b51bfb-9198-4180-966a-91937f399d2d' time='P2T17:02' player='Lionel Andrés Messi Cuccittini' result='COMPLETE'>,\n",
-       " <GenericEvent:Dribbled Past event_id='a1b860e4-71b4-4366-b1bf-7290a82a380f' time='P2T17:02' player='Rubén Duarte Sánchez' result='None'>,\n",
-       " <FoulCommittedEvent event_id='e44eea88-d7ae-4806-b322-04134755e187' time='P2T17:02' player='Daniel Alejandro Torres Rojas' result='None'>,\n",
-       " <GenericEvent:Foul Won event_id='eed04441-624f-4f23-9843-7bd069c16232' time='P2T17:02' player='Lionel Andrés Messi Cuccittini' result='None'>]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "carry_event = first_goal.prev('carry')\n",
-    "carry_event.get_related_events()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "7d2c3377",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "None\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(carry_event.related_pass())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "3e53ee99",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<TakeOnEvent event_id='a1b51bfb-9198-4180-966a-91937f399d2d' time='P2T17:02' player='Lionel Andrés Messi Cuccittini' result='COMPLETE'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(carry_event.related_take_on())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2ed402bd",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "kloppy-venv",
-   "language": "python",
-   "name": "kloppy-venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/examples/plotting.ipynb b/docs/examples/plotting.ipynb
deleted file mode 100644
index 69263838..00000000
--- a/docs/examples/plotting.ipynb
+++ /dev/null
@@ -1,166 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Plotting\n",
-    "\n",
-    "In this quickstart, we'll show all kind of examples. As PySport encourages OpenSource projects, all examples use other sports analytics packages in combination with kloppy. You can find more packages at https://opensource.pysport.org/\n",
-    "\n",
-    "\n",
-    "## Plotting events using mplsoccer\n",
-    "\n",
-    "In this example the [mplsoccer](https://github.com/andrewRowlinson/mplsoccer) package by [Andy Rowlinson](https://twitter.com/numberstorm) is used.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: mplsoccer in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (1.1.10)\n",
-      "Requirement already satisfied: matplotlib in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (3.7.1)\n",
-      "Requirement already satisfied: seaborn in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (0.12.2)\n",
-      "Requirement already satisfied: pandas in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from mplsoccer) (2.0.3)\n",
-      "Requirement already satisfied: numpy in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from mplsoccer) (1.24.2)\n",
-      "Requirement already satisfied: pillow in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from mplsoccer) (9.4.0)\n",
-      "Requirement already satisfied: scipy in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from mplsoccer) (1.10.1)\n",
-      "Requirement already satisfied: requests in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/requests-2.28.2-py3.10.egg (from mplsoccer) (2.28.2)\n",
-      "Requirement already satisfied: cycler>=0.10 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from matplotlib) (0.11.0)\n",
-      "Requirement already satisfied: pyparsing>=2.3.1 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from matplotlib) (3.0.9)\n",
-      "Requirement already satisfied: contourpy>=1.0.1 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from matplotlib) (1.0.7)\n",
-      "Requirement already satisfied: python-dateutil>=2.7 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/python_dateutil-2.8.2-py3.10.egg (from matplotlib) (2.8.2)\n",
-      "Requirement already satisfied: packaging>=20.0 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from matplotlib) (23.0)\n",
-      "Requirement already satisfied: kiwisolver>=1.0.1 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from matplotlib) (1.4.4)\n",
-      "Requirement already satisfied: fonttools>=4.22.0 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from matplotlib) (4.38.0)\n",
-      "Requirement already satisfied: tzdata>=2022.1 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages (from pandas->mplsoccer) (2023.3)\n",
-      "Requirement already satisfied: pytz>=2020.1 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/pytz-2022.7.1-py3.10.egg (from pandas->mplsoccer) (2022.7.1)\n",
-      "Requirement already satisfied: six>=1.5 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/six-1.16.0-py3.10.egg (from python-dateutil>=2.7->matplotlib) (1.16.0)\n",
-      "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/charset_normalizer-3.0.1-py3.10-macosx-12-arm64.egg (from requests->mplsoccer) (3.0.1)\n",
-      "Requirement already satisfied: idna<4,>=2.5 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/idna-3.4-py3.10.egg (from requests->mplsoccer) (3.4)\n",
-      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/urllib3-1.26.14-py3.10.egg (from requests->mplsoccer) (1.26.14)\n",
-      "Requirement already satisfied: certifi>=2017.4.17 in /Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/certifi-2022.12.7-py3.10.egg (from requests->mplsoccer) (2022.12.7)\n",
-      "\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "import sys\n",
-    "!{sys.executable} -m pip install mplsoccer matplotlib seaborn"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Going to show passes of: Lionel Andrés Messi Cuccittini\n"
-     ]
-    }
-   ],
-   "source": [
-    "## Load data\n",
-    "\n",
-    "from mplsoccer.pitch import Pitch\n",
-    "from kloppy import statsbomb\n",
-    "\n",
-    "dataset = statsbomb.load_open_data(\n",
-    "    event_types=[\"pass\"], \n",
-    "    coordinates=\"statsbomb\"\n",
-    ")\n",
-    "\n",
-    "home_team, away_team = dataset.metadata.teams\n",
-    "\n",
-    "messi = home_team.players[9]\n",
-    "print(f\"Going to show passes of: {messi}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "df = (\n",
-    "    dataset\n",
-    "    .filter(lambda event: event.player == messi)\n",
-    "    .to_df()\n",
-    ")\n",
-    "\n",
-    "\n",
-    "pitch = Pitch(pitch_color='#e7f1fa', line_zorder=1, line_color='black', pitch_type=\"statsbomb\")\n",
-    "fig, ax = pitch.draw()\n",
-    "plot = pitch.kdeplot(\n",
-    "    df[\"coordinates_x\"],\n",
-    "    df[\"coordinates_y\"],\n",
-    "    ax=ax,\n",
-    "    fill=True,\n",
-    "    n_levels=50,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.13"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": true,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {},
-   "toc_section_display": true,
-   "toc_window_display": false
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/examples/state.ipynb b/docs/examples/state.ipynb
deleted file mode 100644
index 32226afe..00000000
--- a/docs/examples/state.ipynb
+++ /dev/null
@@ -1,1427 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# State\n",
-    "\n",
-    "While working with event data it can be convenient to also use the current score. This can be used to determine if a team is winning, losing or drawing. A more generic name for the score is 'state'. \n",
-    "\n",
-    "In this quickstart we'll look at how to use the `add_state` method of kloppy to add state to the events for later use.\n",
-    "\n",
-    "## Loading some statsbomb data\n",
-    "\n",
-    "First we'll load Barcelona - Deportivo Alaves from the statsbomb open-data project."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/kloppy-3.7.1-py3.10.egg/kloppy/_providers/statsbomb.py:67: UserWarning: \n",
-      "\n",
-      "You are about to use StatsBomb public data.\n",
-      "By using this data, you are agreeing to the user agreement. \n",
-      "The user agreement can be found here: https://github.com/statsbomb/open-data/blob/master/LICENSE.pdf\n",
-      "\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['Barcelona', 'Deportivo Alavés']\n",
-      "{}\n"
-     ]
-    }
-   ],
-   "source": [
-    "from kloppy import statsbomb\n",
-    "from kloppy.domain import EventType\n",
-    "\n",
-    "dataset = statsbomb.load_open_data()\n",
-    "print([team.name for team in dataset.metadata.teams])\n",
-    "print(dataset.events[0].state)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Add state - score\n",
-    "\n",
-    "kloppy contains some default state builders: score, lineup and sequence. Let's have a look at the `score` state builder. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'score': Score(home=0, away=0)}"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataset = dataset.add_state('score')\n",
-    "\n",
-    "dataset.events[0].state"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As you can see `state` is now filled with a score object. The object contains two attributes: `home` and `away`. Every event contains a score object which is automatically updated when a goal is scored.\n",
-    "\n",
-    "Now lets have a look at how we can use the score state. First we filter on only shots."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "28"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataset = dataset.filter(lambda event: event.event_type == EventType.SHOT)\n",
-    "shots = dataset.events\n",
-    "len(shots)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0-0 Barcelona - Lionel Andrés Messi Cuccittini - OFF_TARGET\n",
-      "0-0 Barcelona - Jordi Alba Ramos - OFF_TARGET\n",
-      "0-0 Barcelona - Lionel Andrés Messi Cuccittini - SAVED\n",
-      "0-0 Deportivo Alavés - Rubén Sobrino Pozuelo - OFF_TARGET\n",
-      "0-0 Barcelona - Luis Alberto Suárez Díaz - OFF_TARGET\n",
-      "0-0 Barcelona - Ousmane Dembélé - OFF_TARGET\n",
-      "0-0 Barcelona - Ivan Rakitić - OFF_TARGET\n",
-      "0-0 Barcelona - Lionel Andrés Messi Cuccittini - POST\n",
-      "0-0 Barcelona - Gerard Piqué Bernabéu - OFF_TARGET\n",
-      "0-0 Barcelona - Ousmane Dembélé - SAVED\n",
-      "0-0 Barcelona - Luis Alberto Suárez Díaz - OFF_TARGET\n",
-      "0-0 Barcelona - Ousmane Dembélé - OFF_TARGET\n",
-      "0-0 Barcelona - Jordi Alba Ramos - SAVED\n",
-      "0-0 Deportivo Alavés - Mubarak Wakaso - BLOCKED\n",
-      "0-0 Barcelona - Luis Alberto Suárez Díaz - BLOCKED\n",
-      "0-0 Barcelona - Philippe Coutinho Correia - BLOCKED\n",
-      "0-0 Barcelona - Jordi Alba Ramos - BLOCKED\n",
-      "0-0 Barcelona - Lionel Andrés Messi Cuccittini - OFF_TARGET\n",
-      "0-0 Barcelona - Philippe Coutinho Correia - BLOCKED\n",
-      "0-0 Barcelona - Lionel Andrés Messi Cuccittini - GOAL\n",
-      "1-0 Barcelona - Lionel Andrés Messi Cuccittini - POST\n",
-      "1-0 Barcelona - Ivan Rakitić - BLOCKED\n",
-      "1-0 Barcelona - Luis Alberto Suárez Díaz - SAVED\n",
-      "1-0 Deportivo Alavés - Adrián Marín Gómez - OFF_TARGET\n",
-      "1-0 Barcelona - Philippe Coutinho Correia - SAVED\n",
-      "1-0 Barcelona - Philippe Coutinho Correia - GOAL\n",
-      "2-0 Barcelona - Lionel Andrés Messi Cuccittini - SAVED\n",
-      "2-0 Barcelona - Lionel Andrés Messi Cuccittini - GOAL\n"
-     ]
-    }
-   ],
-   "source": [
-    "for shot in shots:\n",
-    "    print(shot.state['score'], shot.player.team, '-', shot.player, '-', shot.result)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>event_id</th>\n",
-       "      <th>event_type</th>\n",
-       "      <th>result</th>\n",
-       "      <th>success</th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>end_timestamp</th>\n",
-       "      <th>ball_state</th>\n",
-       "      <th>ball_owning_team</th>\n",
-       "      <th>team_id</th>\n",
-       "      <th>player_id</th>\n",
-       "      <th>coordinates_x</th>\n",
-       "      <th>coordinates_y</th>\n",
-       "      <th>end_coordinates_x</th>\n",
-       "      <th>end_coordinates_y</th>\n",
-       "      <th>body_part_type</th>\n",
-       "      <th>home_score</th>\n",
-       "      <th>away_score</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>65f16e50-7c5d-4293-b2fc-d20887a772f9</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>149.094</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.930417</td>\n",
-       "      <td>0.645625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>b0f73423-3990-45ae-9dda-3512c2d1aff3</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>339.239</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5211</td>\n",
-       "      <td>0.949583</td>\n",
-       "      <td>0.336875</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13b1ddab-d22e-43d9-bfe4-12632fea1a27</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>SAVED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>928.625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.766250</td>\n",
-       "      <td>0.430625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>391bfb74-07a6-4afe-9568-02a9b23f5bd4</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>979.616</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>206</td>\n",
-       "      <td>206</td>\n",
-       "      <td>6613</td>\n",
-       "      <td>0.908750</td>\n",
-       "      <td>0.483125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>HEAD</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5e55f5a5-954f-4cc4-ba6e-a9cf6d6e249e</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1095.914</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5246</td>\n",
-       "      <td>0.891250</td>\n",
-       "      <td>0.311875</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1c0347cd-14dc-4aa8-91eb-520672a6cfe1</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1842.287</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5477</td>\n",
-       "      <td>0.900417</td>\n",
-       "      <td>0.341875</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>7c3182af-c8a8-4c7c-934e-5c41c7b93c6a</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2104.861</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5470</td>\n",
-       "      <td>0.932917</td>\n",
-       "      <td>0.545625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>HEAD</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>39f231e5-0072-461c-beb0-a9bedb420f83</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2248.168</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.807917</td>\n",
-       "      <td>0.674375</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>062cdd08-8773-424f-8fc5-2e3d441c3c5c</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2250.989</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5213</td>\n",
-       "      <td>0.935417</td>\n",
-       "      <td>0.516875</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>HEAD</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>c09e904d-6c8e-479d-af2e-c2c5863aca71</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>SAVED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2308.083</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5477</td>\n",
-       "      <td>0.853750</td>\n",
-       "      <td>0.364375</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>9eda2385-88bb-4c37-b039-a738c4cd8d4b</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2434.592</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5246</td>\n",
-       "      <td>0.910417</td>\n",
-       "      <td>0.370625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>0b56df83-958e-4a31-9e5a-d741b4bf95cf</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2610.612</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5477</td>\n",
-       "      <td>0.887083</td>\n",
-       "      <td>0.418125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>79851101-0f47-48e2-bdac-2de2b2bc89cb</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>SAVED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>159.524</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5211</td>\n",
-       "      <td>0.973750</td>\n",
-       "      <td>0.389375</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>d37ddbf4-05b6-4127-8ca6-287a069bd912</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>BLOCKED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>367.400</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>206</td>\n",
-       "      <td>206</td>\n",
-       "      <td>6626</td>\n",
-       "      <td>0.882917</td>\n",
-       "      <td>0.286875</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>b8f9567a-b33c-4013-91a4-dd5c088dd14a</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>BLOCKED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>534.355</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5246</td>\n",
-       "      <td>0.925417</td>\n",
-       "      <td>0.300625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>2e2b7445-812c-4162-a5a2-4a99290359ae</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>BLOCKED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>596.388</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>3501</td>\n",
-       "      <td>0.786250</td>\n",
-       "      <td>0.305625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>480a2132-0c0e-4a0b-95e7-eb994a1542ff</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>BLOCKED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>634.490</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5211</td>\n",
-       "      <td>0.894583</td>\n",
-       "      <td>0.323125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>dfb55124-1e6a-475c-a460-3d9bf920bf04</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>740.847</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.833750</td>\n",
-       "      <td>0.725625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>ff334a7e-6ec2-4c71-9957-6d8accaf48df</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>BLOCKED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>936.156</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>3501</td>\n",
-       "      <td>0.834583</td>\n",
-       "      <td>0.345625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>4c7c4ab1-6b9f-4504-a237-249c2e0c549f</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>GOAL</td>\n",
-       "      <td>True</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1091.954</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.800417</td>\n",
-       "      <td>0.563125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>28175830-bbf0-4be9-baef-75c1de731809</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1243.588</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.883750</td>\n",
-       "      <td>0.588125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>89cef214-dec8-43c7-8222-3ea8942ae868</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>BLOCKED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1413.375</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5470</td>\n",
-       "      <td>0.738750</td>\n",
-       "      <td>0.534375</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>0a78095f-dde1-4cba-8639-3ac2750d3a4d</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>SAVED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1647.492</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5246</td>\n",
-       "      <td>0.908750</td>\n",
-       "      <td>0.375625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>6e7d482d-30cc-4f5c-9b65-84c52ef8247c</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>OFF_TARGET</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1997.679</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>206</td>\n",
-       "      <td>206</td>\n",
-       "      <td>6935</td>\n",
-       "      <td>0.944583</td>\n",
-       "      <td>0.418125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>5f8f624e-eae9-4e6b-a086-d864bc8f4140</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>SAVED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2191.606</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>3501</td>\n",
-       "      <td>0.944583</td>\n",
-       "      <td>0.388125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>683c6752-13bc-4892-94ed-22e1c938f1f7</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>GOAL</td>\n",
-       "      <td>True</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2261.578</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>3501</td>\n",
-       "      <td>0.875417</td>\n",
-       "      <td>0.388125</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>RIGHT_FOOT</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>252b3061-7d3f-4922-b04f-0b37a44c6300</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>SAVED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2662.638</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.883750</td>\n",
-       "      <td>0.575625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>55d71847-9511-4417-aea9-6f415e279011</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>GOAL</td>\n",
-       "      <td>True</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2802.770</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.932917</td>\n",
-       "      <td>0.431875</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                event_id event_type      result  success  \\\n",
-       "0   65f16e50-7c5d-4293-b2fc-d20887a772f9       SHOT  OFF_TARGET    False   \n",
-       "1   b0f73423-3990-45ae-9dda-3512c2d1aff3       SHOT  OFF_TARGET    False   \n",
-       "2   13b1ddab-d22e-43d9-bfe4-12632fea1a27       SHOT       SAVED    False   \n",
-       "3   391bfb74-07a6-4afe-9568-02a9b23f5bd4       SHOT  OFF_TARGET    False   \n",
-       "4   5e55f5a5-954f-4cc4-ba6e-a9cf6d6e249e       SHOT  OFF_TARGET    False   \n",
-       "5   1c0347cd-14dc-4aa8-91eb-520672a6cfe1       SHOT  OFF_TARGET    False   \n",
-       "6   7c3182af-c8a8-4c7c-934e-5c41c7b93c6a       SHOT  OFF_TARGET    False   \n",
-       "7   39f231e5-0072-461c-beb0-a9bedb420f83       SHOT        POST    False   \n",
-       "8   062cdd08-8773-424f-8fc5-2e3d441c3c5c       SHOT  OFF_TARGET    False   \n",
-       "9   c09e904d-6c8e-479d-af2e-c2c5863aca71       SHOT       SAVED    False   \n",
-       "10  9eda2385-88bb-4c37-b039-a738c4cd8d4b       SHOT  OFF_TARGET    False   \n",
-       "11  0b56df83-958e-4a31-9e5a-d741b4bf95cf       SHOT  OFF_TARGET    False   \n",
-       "12  79851101-0f47-48e2-bdac-2de2b2bc89cb       SHOT       SAVED    False   \n",
-       "13  d37ddbf4-05b6-4127-8ca6-287a069bd912       SHOT     BLOCKED    False   \n",
-       "14  b8f9567a-b33c-4013-91a4-dd5c088dd14a       SHOT     BLOCKED    False   \n",
-       "15  2e2b7445-812c-4162-a5a2-4a99290359ae       SHOT     BLOCKED    False   \n",
-       "16  480a2132-0c0e-4a0b-95e7-eb994a1542ff       SHOT     BLOCKED    False   \n",
-       "17  dfb55124-1e6a-475c-a460-3d9bf920bf04       SHOT  OFF_TARGET    False   \n",
-       "18  ff334a7e-6ec2-4c71-9957-6d8accaf48df       SHOT     BLOCKED    False   \n",
-       "19  4c7c4ab1-6b9f-4504-a237-249c2e0c549f       SHOT        GOAL     True   \n",
-       "20  28175830-bbf0-4be9-baef-75c1de731809       SHOT        POST    False   \n",
-       "21  89cef214-dec8-43c7-8222-3ea8942ae868       SHOT     BLOCKED    False   \n",
-       "22  0a78095f-dde1-4cba-8639-3ac2750d3a4d       SHOT       SAVED    False   \n",
-       "23  6e7d482d-30cc-4f5c-9b65-84c52ef8247c       SHOT  OFF_TARGET    False   \n",
-       "24  5f8f624e-eae9-4e6b-a086-d864bc8f4140       SHOT       SAVED    False   \n",
-       "25  683c6752-13bc-4892-94ed-22e1c938f1f7       SHOT        GOAL     True   \n",
-       "26  252b3061-7d3f-4922-b04f-0b37a44c6300       SHOT       SAVED    False   \n",
-       "27  55d71847-9511-4417-aea9-6f415e279011       SHOT        GOAL     True   \n",
-       "\n",
-       "    period_id  timestamp end_timestamp ball_state ball_owning_team team_id  \\\n",
-       "0           1    149.094          None      alive              217     217   \n",
-       "1           1    339.239          None      alive              217     217   \n",
-       "2           1    928.625          None      alive              217     217   \n",
-       "3           1    979.616          None      alive              206     206   \n",
-       "4           1   1095.914          None      alive              217     217   \n",
-       "5           1   1842.287          None      alive              217     217   \n",
-       "6           1   2104.861          None      alive              217     217   \n",
-       "7           1   2248.168          None      alive              217     217   \n",
-       "8           1   2250.989          None      alive              217     217   \n",
-       "9           1   2308.083          None      alive              217     217   \n",
-       "10          1   2434.592          None      alive              217     217   \n",
-       "11          1   2610.612          None      alive              217     217   \n",
-       "12          2    159.524          None      alive              217     217   \n",
-       "13          2    367.400          None      alive              206     206   \n",
-       "14          2    534.355          None      alive              217     217   \n",
-       "15          2    596.388          None      alive              217     217   \n",
-       "16          2    634.490          None      alive              217     217   \n",
-       "17          2    740.847          None      alive              217     217   \n",
-       "18          2    936.156          None      alive              217     217   \n",
-       "19          2   1091.954          None      alive              217     217   \n",
-       "20          2   1243.588          None      alive              217     217   \n",
-       "21          2   1413.375          None      alive              217     217   \n",
-       "22          2   1647.492          None      alive              217     217   \n",
-       "23          2   1997.679          None      alive              206     206   \n",
-       "24          2   2191.606          None      alive              217     217   \n",
-       "25          2   2261.578          None      alive              217     217   \n",
-       "26          2   2662.638          None      alive              217     217   \n",
-       "27          2   2802.770          None      alive              217     217   \n",
-       "\n",
-       "   player_id  coordinates_x  coordinates_y end_coordinates_x  \\\n",
-       "0       5503       0.930417       0.645625              None   \n",
-       "1       5211       0.949583       0.336875              None   \n",
-       "2       5503       0.766250       0.430625              None   \n",
-       "3       6613       0.908750       0.483125              None   \n",
-       "4       5246       0.891250       0.311875              None   \n",
-       "5       5477       0.900417       0.341875              None   \n",
-       "6       5470       0.932917       0.545625              None   \n",
-       "7       5503       0.807917       0.674375              None   \n",
-       "8       5213       0.935417       0.516875              None   \n",
-       "9       5477       0.853750       0.364375              None   \n",
-       "10      5246       0.910417       0.370625              None   \n",
-       "11      5477       0.887083       0.418125              None   \n",
-       "12      5211       0.973750       0.389375              None   \n",
-       "13      6626       0.882917       0.286875              None   \n",
-       "14      5246       0.925417       0.300625              None   \n",
-       "15      3501       0.786250       0.305625              None   \n",
-       "16      5211       0.894583       0.323125              None   \n",
-       "17      5503       0.833750       0.725625              None   \n",
-       "18      3501       0.834583       0.345625              None   \n",
-       "19      5503       0.800417       0.563125              None   \n",
-       "20      5503       0.883750       0.588125              None   \n",
-       "21      5470       0.738750       0.534375              None   \n",
-       "22      5246       0.908750       0.375625              None   \n",
-       "23      6935       0.944583       0.418125              None   \n",
-       "24      3501       0.944583       0.388125              None   \n",
-       "25      3501       0.875417       0.388125              None   \n",
-       "26      5503       0.883750       0.575625              None   \n",
-       "27      5503       0.932917       0.431875              None   \n",
-       "\n",
-       "   end_coordinates_y body_part_type  home_score  away_score  \n",
-       "0               None     RIGHT_FOOT           0           0  \n",
-       "1               None      LEFT_FOOT           0           0  \n",
-       "2               None      LEFT_FOOT           0           0  \n",
-       "3               None           HEAD           0           0  \n",
-       "4               None     RIGHT_FOOT           0           0  \n",
-       "5               None      LEFT_FOOT           0           0  \n",
-       "6               None           HEAD           0           0  \n",
-       "7               None      LEFT_FOOT           0           0  \n",
-       "8               None           HEAD           0           0  \n",
-       "9               None     RIGHT_FOOT           0           0  \n",
-       "10              None     RIGHT_FOOT           0           0  \n",
-       "11              None     RIGHT_FOOT           0           0  \n",
-       "12              None      LEFT_FOOT           0           0  \n",
-       "13              None      LEFT_FOOT           0           0  \n",
-       "14              None     RIGHT_FOOT           0           0  \n",
-       "15              None     RIGHT_FOOT           0           0  \n",
-       "16              None      LEFT_FOOT           0           0  \n",
-       "17              None      LEFT_FOOT           0           0  \n",
-       "18              None     RIGHT_FOOT           0           0  \n",
-       "19              None      LEFT_FOOT           0           0  \n",
-       "20              None      LEFT_FOOT           1           0  \n",
-       "21              None     RIGHT_FOOT           1           0  \n",
-       "22              None      LEFT_FOOT           1           0  \n",
-       "23              None     RIGHT_FOOT           1           0  \n",
-       "24              None     RIGHT_FOOT           1           0  \n",
-       "25              None     RIGHT_FOOT           1           0  \n",
-       "26              None      LEFT_FOOT           2           0  \n",
-       "27              None      LEFT_FOOT           2           0  "
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataframe = dataset.to_df(\n",
-    "    \"*\",\n",
-    "    home_score=lambda event: event.state['score'].home,\n",
-    "    away_score=lambda event: event.state['score'].away\n",
-    ")\n",
-    "dataframe"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now filter the dataframe. We only want to see shots when we are winning by at least two goals difference."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>event_id</th>\n",
-       "      <th>event_type</th>\n",
-       "      <th>result</th>\n",
-       "      <th>success</th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>end_timestamp</th>\n",
-       "      <th>ball_state</th>\n",
-       "      <th>ball_owning_team</th>\n",
-       "      <th>team_id</th>\n",
-       "      <th>player_id</th>\n",
-       "      <th>coordinates_x</th>\n",
-       "      <th>coordinates_y</th>\n",
-       "      <th>end_coordinates_x</th>\n",
-       "      <th>end_coordinates_y</th>\n",
-       "      <th>body_part_type</th>\n",
-       "      <th>home_score</th>\n",
-       "      <th>away_score</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>252b3061-7d3f-4922-b04f-0b37a44c6300</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>SAVED</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2662.638</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.883750</td>\n",
-       "      <td>0.575625</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>55d71847-9511-4417-aea9-6f415e279011</td>\n",
-       "      <td>SHOT</td>\n",
-       "      <td>GOAL</td>\n",
-       "      <td>True</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2802.770</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>217</td>\n",
-       "      <td>217</td>\n",
-       "      <td>5503</td>\n",
-       "      <td>0.932917</td>\n",
-       "      <td>0.431875</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>LEFT_FOOT</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                event_id event_type result  success  \\\n",
-       "26  252b3061-7d3f-4922-b04f-0b37a44c6300       SHOT  SAVED    False   \n",
-       "27  55d71847-9511-4417-aea9-6f415e279011       SHOT   GOAL     True   \n",
-       "\n",
-       "    period_id  timestamp end_timestamp ball_state ball_owning_team team_id  \\\n",
-       "26          2   2662.638          None      alive              217     217   \n",
-       "27          2   2802.770          None      alive              217     217   \n",
-       "\n",
-       "   player_id  coordinates_x  coordinates_y end_coordinates_x  \\\n",
-       "26      5503       0.883750       0.575625              None   \n",
-       "27      5503       0.932917       0.431875              None   \n",
-       "\n",
-       "   end_coordinates_y body_part_type  home_score  away_score  \n",
-       "26              None      LEFT_FOOT           2           0  \n",
-       "27              None      LEFT_FOOT           2           0  "
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataframe[dataframe['home_score'] - dataframe['away_score'] >= 2]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Add state - lineup\n",
-    "\n",
-    "We are able to add more state. In this example we'll look at adding lineup state."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/kloppy-3.7.1-py3.10.egg/kloppy/_providers/statsbomb.py:67: UserWarning: \n",
-      "\n",
-      "You are about to use StatsBomb public data.\n",
-      "By using this data, you are agreeing to the user agreement. \n",
-      "The user agreement can be found here: https://github.com/statsbomb/open-data/blob/master/LICENSE.pdf\n",
-      "\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
-   "source": [
-    "from kloppy import statsbomb\n",
-    "from kloppy.domain import EventType\n",
-    "\n",
-    "dataset = statsbomb.load_open_data()\n",
-    "\n",
-    "home_team, away_team = dataset.metadata.teams"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Arturo Vidal is a substitute on the side of Barcelona. We add lineup to all events so we are able to filter out events where Arturo Vidal is on the pitch."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "arturo_vidal = home_team.get_player_by_id(8206)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dataframe = (\n",
-    "    dataset\n",
-    "    .add_state('lineup')\n",
-    "    .filter(lambda event: arturo_vidal in event.state['lineup'].players)\n",
-    "    .to_df()\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "time on pitch: 490.6479999999997 seconds\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f\"time on pitch: {dataframe['timestamp'].max() - dataframe['timestamp'].min()} seconds\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dataframe = (\n",
-    "    dataset\n",
-    "    .add_state('lineup')\n",
-    "    .filter(lambda event: event.event_type == EventType.PASS and event.team == home_team)\n",
-    "    .to_df(\n",
-    "        \"*\",\n",
-    "        vidal_on_pitch=lambda event: arturo_vidal in event.state['lineup'].players\n",
-    "    )\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>sum</th>\n",
-       "      <th>count</th>\n",
-       "      <th>percentage</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>vidal_on_pitch</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>False</th>\n",
-       "      <td>709</td>\n",
-       "      <td>798</td>\n",
-       "      <td>88.847118</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>True</th>\n",
-       "      <td>83</td>\n",
-       "      <td>88</td>\n",
-       "      <td>94.318182</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                sum  count percentage\n",
-       "vidal_on_pitch                       \n",
-       "False           709    798  88.847118\n",
-       "True             83     88  94.318182"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataframe = dataframe.groupby(['vidal_on_pitch'])['success'].agg(['sum', 'count'])\n",
-    "dataframe['percentage'] = dataframe['sum'] / dataframe['count'] * 100\n",
-    "dataframe"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Add state - formation\n",
-    "\n",
-    "In this example we'll look at adding formation state to all shots."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/koen/Developer/Projects/PySport/kloppy/.venv/lib/python3.10/site-packages/kloppy-3.7.1-py3.10.egg/kloppy/_providers/statsbomb.py:67: UserWarning: \n",
-      "\n",
-      "You are about to use StatsBomb public data.\n",
-      "By using this data, you are agreeing to the user agreement. \n",
-      "The user agreement can be found here: https://github.com/statsbomb/open-data/blob/master/LICENSE.pdf\n",
-      "\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
-   "source": [
-    "from kloppy import statsbomb\n",
-    "from kloppy.domain import EventType\n",
-    "\n",
-    "\n",
-    "dataset = statsbomb.load_open_data()\n",
-    "\n",
-    "dataframe = (\n",
-    "    dataset\n",
-    "    .add_state('formation')\n",
-    "    .filter(\n",
-    "        lambda event: event.event_type == EventType.SHOT\n",
-    "    )\n",
-    "    .to_df(\n",
-    "        \"*\",\n",
-    "        Team=lambda event: str(event.team),\n",
-    "        Formation=lambda event: str(\n",
-    "            event.state['formation'].home \n",
-    "            if event.team == dataset.metadata.teams[0] \n",
-    "            else event.state['formation'].away\n",
-    "        )\n",
-    "    )\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>Goals</th>\n",
-       "      <th>Shots</th>\n",
-       "      <th>Percentage</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Team</th>\n",
-       "      <th>Formation</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Barcelona</th>\n",
-       "      <th>4-3-3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>14</td>\n",
-       "      <td>21.428571</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4-4-2</th>\n",
-       "      <td>0</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Deportivo Alavés</th>\n",
-       "      <th>4-1-4-1</th>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4-4-2</th>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                            Goals  Shots  Percentage\n",
-       "Team             Formation                          \n",
-       "Barcelona        4-3-3          3     14   21.428571\n",
-       "                 4-4-2          0     11    0.000000\n",
-       "Deportivo Alavés 4-1-4-1        0      2    0.000000\n",
-       "                 4-4-2          0      1    0.000000"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataframe_stats = (\n",
-    "    dataframe\n",
-    "    .groupby(['Team', 'Formation'])['success']\n",
-    "    .agg(['sum', 'count'])\n",
-    ")\n",
-    "dataframe_stats['Percentage'] = (\n",
-    "    dataframe_stats['sum'] \n",
-    "    / dataframe_stats['count'] \n",
-    "    * 100\n",
-    ")\n",
-    "dataframe_stats.rename(\n",
-    "    columns={\n",
-    "        'sum': 'Goals',\n",
-    "        'count': 'Shots'\n",
-    "    }\n",
-    ")"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "kloppy-venv",
-   "language": "python",
-   "name": "kloppy-venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": true,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {},
-   "toc_section_display": true,
-   "toc_window_display": false
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/examples/tracking_data.ipynb b/docs/examples/tracking_data.ipynb
deleted file mode 100644
index 2b613be3..00000000
--- a/docs/examples/tracking_data.ipynb
+++ /dev/null
@@ -1,3373 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Tracking data\n",
-    "\n",
-    "Metadata is available on tracking data. TRACAB and Metrica does not include any extra metadata besides team and jersey number. [EPTS](https://football-technology.fifa.com/en/media-tiles/research-development-epts-standard-data-format/) is the only format right now that contains additional information that will be loaded as metadata\n",
-    "\n",
-    "\n",
-    "## Loading Metrica data\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "from kloppy import metrica\n",
-    "\n",
-    "dataset = metrica.load_open_data(limit=10)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Exploring the data\n",
-    "\n",
-    "When you want to show the name of a player you are advised to use `str(player)`. This will call the magic `__str__` method that handles fallbacks for missing data. By default it will return `full_name`, and fallback to 1) `first_name last_name` 2) `player_id`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['home_11 (11)',\n",
-       " 'home_1 (1)',\n",
-       " 'home_2 (2)',\n",
-       " 'home_3 (3)',\n",
-       " 'home_4 (4)',\n",
-       " 'home_5 (5)',\n",
-       " 'home_6 (6)',\n",
-       " 'home_7 (7)',\n",
-       " 'home_8 (8)',\n",
-       " 'home_9 (9)',\n",
-       " 'home_10 (10)',\n",
-       " 'home_12 (12)',\n",
-       " 'home_13 (13)',\n",
-       " 'home_14 (14)']"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "metadata = dataset.metadata\n",
-    "home_team, away_team = metadata.teams\n",
-    "\n",
-    "[f\"{player} ({player.jersey_no})\" for player in home_team.players]\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "home - Home\n",
-      "away - Away\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f\"{home_team.ground} - {home_team}\")\n",
-    "print(f\"{away_team.ground} - {away_team}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "## Working with tracking data\n",
-    "\n",
-    "The actual tracking data is available at `dataset.frames`. This list holds all frames. Each frame has a `players_coordinates` dictionary that is indexed by `Player` entities and has values of the `Point` type.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Number of players in the frame: 22\n",
-      "List home team players coordinates\n",
-      "[Point(x=0.00082, y=0.51762),\n",
-      " Point(x=0.32648, y=0.34678),\n",
-      " Point(x=0.33701, y=0.51137),\n",
-      " Point(x=0.30927, y=0.64471),\n",
-      " Point(x=0.32137, y=0.78738),\n",
-      " Point(x=0.41094, y=0.27410999999999996),\n",
-      " Point(x=0.41698, y=0.52157),\n",
-      " Point(x=0.39125, y=0.6745),\n",
-      " Point(x=0.45388, y=0.78826),\n",
-      " Point(x=0.52697, y=0.6202),\n",
-      " Point(x=0.55243, y=0.56731)]\n"
-     ]
-    }
-   ],
-   "source": [
-    "first_frame = dataset.frames[0]\n",
-    "print(f\"Number of players in the frame: {len(first_frame.players_coordinates)}\")\n",
-    "\n",
-    "from pprint import pprint\n",
-    "print(\"List home team players coordinates\")\n",
-    "pprint([\n",
-    "    player_coordinates \n",
-    "    for player, player_coordinates\n",
-    "    in first_frame.players_coordinates.items()\n",
-    "    if player.team == home_team\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Exporting to a dataframe\n",
-    "\n",
-    "kloppy allows you to export a `dataset` to a `DataFrame`. Both polars and pandas are supported. You can use the following engines: `polars`, `pandas`, `pandas[pyarrow]`. The pyarrow engine requires python 3.8 or higher."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "period_id                int64\n",
-       "timestamp              float64\n",
-       "frame_id                 int64\n",
-       "ball_state              object\n",
-       "ball_owning_team_id     object\n",
-       "                        ...   \n",
-       "away_23_s               object\n",
-       "away_24_x              float64\n",
-       "away_24_y              float64\n",
-       "away_24_d               object\n",
-       "away_24_s               object\n",
-       "Length: 96, dtype: object"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = dataset.to_df(engine=\"pandas\")  # default behaviour\n",
-    "df.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "period_id               int64[pyarrow]\n",
-       "timestamp              double[pyarrow]\n",
-       "frame_id                int64[pyarrow]\n",
-       "ball_state               null[pyarrow]\n",
-       "ball_owning_team_id      null[pyarrow]\n",
-       "                            ...       \n",
-       "away_23_s                null[pyarrow]\n",
-       "away_24_x              double[pyarrow]\n",
-       "away_24_y              double[pyarrow]\n",
-       "away_24_d                null[pyarrow]\n",
-       "away_24_s                null[pyarrow]\n",
-       "Length: 96, dtype: object"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = dataset.to_df(engine=\"pandas[pyarrow]\")\n",
-    "df.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>frame_id</th>\n",
-       "      <th>ball_state</th>\n",
-       "      <th>ball_owning_team_id</th>\n",
-       "      <th>ball_x</th>\n",
-       "      <th>ball_y</th>\n",
-       "      <th>ball_z</th>\n",
-       "      <th>home_11_x</th>\n",
-       "      <th>home_11_y</th>\n",
-       "      <th>...</th>\n",
-       "      <th>away_22_d</th>\n",
-       "      <th>away_22_s</th>\n",
-       "      <th>away_23_x</th>\n",
-       "      <th>away_23_y</th>\n",
-       "      <th>away_23_d</th>\n",
-       "      <th>away_23_s</th>\n",
-       "      <th>away_24_x</th>\n",
-       "      <th>away_24_y</th>\n",
-       "      <th>away_24_d</th>\n",
-       "      <th>away_24_s</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>1</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.45472</td>\n",
-       "      <td>0.61291</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00082</td>\n",
-       "      <td>0.51762</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43693</td>\n",
-       "      <td>0.94998</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37833</td>\n",
-       "      <td>0.72617</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.04</td>\n",
-       "      <td>2</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.49645</td>\n",
-       "      <td>0.59344</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00096</td>\n",
-       "      <td>0.51762</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43693</td>\n",
-       "      <td>0.94998</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37833</td>\n",
-       "      <td>0.72617</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.08</td>\n",
-       "      <td>3</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.53716</td>\n",
-       "      <td>0.57444</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00114</td>\n",
-       "      <td>0.51762</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43693</td>\n",
-       "      <td>0.94998</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37833</td>\n",
-       "      <td>0.72617</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.12</td>\n",
-       "      <td>4</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.55346</td>\n",
-       "      <td>0.57769</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00121</td>\n",
-       "      <td>0.51762</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43644</td>\n",
-       "      <td>0.94962</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37756</td>\n",
-       "      <td>0.72527</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.16</td>\n",
-       "      <td>5</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.55512</td>\n",
-       "      <td>0.59430</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00129</td>\n",
-       "      <td>0.51762</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43580</td>\n",
-       "      <td>0.95023</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37663</td>\n",
-       "      <td>0.72457</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.20</td>\n",
-       "      <td>6</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.55677</td>\n",
-       "      <td>0.61091</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00140</td>\n",
-       "      <td>0.51762</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43504</td>\n",
-       "      <td>0.95116</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37557</td>\n",
-       "      <td>0.72327</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.24</td>\n",
-       "      <td>7</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.55842</td>\n",
-       "      <td>0.62752</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00140</td>\n",
-       "      <td>0.51762</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43423</td>\n",
-       "      <td>0.95195</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37439</td>\n",
-       "      <td>0.72249</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.28</td>\n",
-       "      <td>8</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.56004</td>\n",
-       "      <td>0.64371</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00140</td>\n",
-       "      <td>0.51762</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43347</td>\n",
-       "      <td>0.95343</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37320</td>\n",
-       "      <td>0.72152</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.32</td>\n",
-       "      <td>9</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.56173</td>\n",
-       "      <td>0.66074</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00120</td>\n",
-       "      <td>0.51807</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43273</td>\n",
-       "      <td>0.95422</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37196</td>\n",
-       "      <td>0.72073</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.36</td>\n",
-       "      <td>10</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.56338</td>\n",
-       "      <td>0.67735</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.00100</td>\n",
-       "      <td>0.51853</td>\n",
-       "      <td>...</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.43199</td>\n",
-       "      <td>0.95566</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>0.37068</td>\n",
-       "      <td>0.71990</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>10 rows × 96 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   period_id  timestamp  frame_id ball_state ball_owning_team_id   ball_x   \n",
-       "0          1       0.00         1       <NA>                <NA>  0.45472  \\\n",
-       "1          1       0.04         2       <NA>                <NA>  0.49645   \n",
-       "2          1       0.08         3       <NA>                <NA>  0.53716   \n",
-       "3          1       0.12         4       <NA>                <NA>  0.55346   \n",
-       "4          1       0.16         5       <NA>                <NA>  0.55512   \n",
-       "5          1       0.20         6       <NA>                <NA>  0.55677   \n",
-       "6          1       0.24         7       <NA>                <NA>  0.55842   \n",
-       "7          1       0.28         8       <NA>                <NA>  0.56004   \n",
-       "8          1       0.32         9       <NA>                <NA>  0.56173   \n",
-       "9          1       0.36        10       <NA>                <NA>  0.56338   \n",
-       "\n",
-       "    ball_y ball_z  home_11_x  home_11_y  ... away_22_d away_22_s  away_23_x   \n",
-       "0  0.61291   <NA>    0.00082    0.51762  ...      <NA>      <NA>    0.43693  \\\n",
-       "1  0.59344   <NA>    0.00096    0.51762  ...      <NA>      <NA>    0.43693   \n",
-       "2  0.57444   <NA>    0.00114    0.51762  ...      <NA>      <NA>    0.43693   \n",
-       "3  0.57769   <NA>    0.00121    0.51762  ...      <NA>      <NA>    0.43644   \n",
-       "4  0.59430   <NA>    0.00129    0.51762  ...      <NA>      <NA>    0.43580   \n",
-       "5  0.61091   <NA>    0.00140    0.51762  ...      <NA>      <NA>    0.43504   \n",
-       "6  0.62752   <NA>    0.00140    0.51762  ...      <NA>      <NA>    0.43423   \n",
-       "7  0.64371   <NA>    0.00140    0.51762  ...      <NA>      <NA>    0.43347   \n",
-       "8  0.66074   <NA>    0.00120    0.51807  ...      <NA>      <NA>    0.43273   \n",
-       "9  0.67735   <NA>    0.00100    0.51853  ...      <NA>      <NA>    0.43199   \n",
-       "\n",
-       "   away_23_y away_23_d away_23_s  away_24_x  away_24_y away_24_d away_24_s  \n",
-       "0    0.94998      <NA>      <NA>    0.37833    0.72617      <NA>      <NA>  \n",
-       "1    0.94998      <NA>      <NA>    0.37833    0.72617      <NA>      <NA>  \n",
-       "2    0.94998      <NA>      <NA>    0.37833    0.72617      <NA>      <NA>  \n",
-       "3    0.94962      <NA>      <NA>    0.37756    0.72527      <NA>      <NA>  \n",
-       "4    0.95023      <NA>      <NA>    0.37663    0.72457      <NA>      <NA>  \n",
-       "5    0.95116      <NA>      <NA>    0.37557    0.72327      <NA>      <NA>  \n",
-       "6    0.95195      <NA>      <NA>    0.37439    0.72249      <NA>      <NA>  \n",
-       "7    0.95343      <NA>      <NA>    0.37320    0.72152      <NA>      <NA>  \n",
-       "8    0.95422      <NA>      <NA>    0.37196    0.72073      <NA>      <NA>  \n",
-       "9    0.95566      <NA>      <NA>    0.37068    0.71990      <NA>      <NA>  \n",
-       "\n",
-       "[10 rows x 96 columns]"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style>\n",
-       ".pl-dataframe > thead > tr > th {\n",
-       "  text-align: right;\n",
-       "}\n",
-       "</style>\n",
-       "\n",
-       "<table border=\"1\" class=\"dataframe pl-dataframe\">\n",
-       "<small>shape: (10, 96)</small>\n",
-       "<thead>\n",
-       "<tr>\n",
-       "<th>\n",
-       "period_id\n",
-       "</th>\n",
-       "<th>\n",
-       "timestamp\n",
-       "</th>\n",
-       "<th>\n",
-       "frame_id\n",
-       "</th>\n",
-       "<th>\n",
-       "ball_state\n",
-       "</th>\n",
-       "<th>\n",
-       "ball_owning_team_id\n",
-       "</th>\n",
-       "<th>\n",
-       "ball_x\n",
-       "</th>\n",
-       "<th>\n",
-       "ball_y\n",
-       "</th>\n",
-       "<th>\n",
-       "ball_z\n",
-       "</th>\n",
-       "<th>\n",
-       "home_11_x\n",
-       "</th>\n",
-       "<th>\n",
-       "home_11_y\n",
-       "</th>\n",
-       "<th>\n",
-       "home_11_d\n",
-       "</th>\n",
-       "<th>\n",
-       "home_11_s\n",
-       "</th>\n",
-       "<th>\n",
-       "home_1_x\n",
-       "</th>\n",
-       "<th>\n",
-       "home_1_y\n",
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-       "<th>\n",
-       "home_1_d\n",
-       "</th>\n",
-       "<th>\n",
-       "home_1_s\n",
-       "</th>\n",
-       "<th>\n",
-       "home_2_x\n",
-       "</th>\n",
-       "<th>\n",
-       "home_2_y\n",
-       "</th>\n",
-       "<th>\n",
-       "home_2_d\n",
-       "</th>\n",
-       "<th>\n",
-       "home_2_s\n",
-       "</th>\n",
-       "<th>\n",
-       "home_3_x\n",
-       "</th>\n",
-       "<th>\n",
-       "home_3_y\n",
-       "</th>\n",
-       "<th>\n",
-       "home_3_d\n",
-       "</th>\n",
-       "<th>\n",
-       "home_3_s\n",
-       "</th>\n",
-       "<th>\n",
-       "home_4_x\n",
-       "</th>\n",
-       "<th>\n",
-       "home_4_y\n",
-       "</th>\n",
-       "<th>\n",
-       "home_4_d\n",
-       "</th>\n",
-       "<th>\n",
-       "home_4_s\n",
-       "</th>\n",
-       "<th>\n",
-       "home_5_x\n",
-       "</th>\n",
-       "<th>\n",
-       "home_5_y\n",
-       "</th>\n",
-       "<th>\n",
-       "home_5_d\n",
-       "</th>\n",
-       "<th>\n",
-       "home_5_s\n",
-       "</th>\n",
-       "<th>\n",
-       "home_6_x\n",
-       "</th>\n",
-       "<th>\n",
-       "home_6_y\n",
-       "</th>\n",
-       "<th>\n",
-       "home_6_d\n",
-       "</th>\n",
-       "<th>\n",
-       "home_6_s\n",
-       "</th>\n",
-       "<th>\n",
-       "home_7_x\n",
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-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.39362\n",
-       "</td>\n",
-       "<td>\n",
-       "...\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.67265\n",
-       "</td>\n",
-       "<td>\n",
-       "0.53646\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.66911\n",
-       "</td>\n",
-       "<td>\n",
-       "0.23839\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.40513\n",
-       "</td>\n",
-       "<td>\n",
-       "0.39424\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.45237\n",
-       "</td>\n",
-       "<td>\n",
-       "0.62088\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.56163\n",
-       "</td>\n",
-       "<td>\n",
-       "0.33123\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.5488\n",
-       "</td>\n",
-       "<td>\n",
-       "0.5711\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.49848\n",
-       "</td>\n",
-       "<td>\n",
-       "0.05756\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.43199\n",
-       "</td>\n",
-       "<td>\n",
-       "0.95566\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "0.37068\n",
-       "</td>\n",
-       "<td>\n",
-       "0.7199\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "<td>\n",
-       "null\n",
-       "</td>\n",
-       "</tr>\n",
-       "</tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "shape: (10, 96)\n",
-       "┌─────────┬────────────┬──────────┬──────────┬─────┬───────────┬───────────┬───────────┬───────────┐\n",
-       "│ period_ ┆ timestamp  ┆ frame_id ┆ ball_sta ┆ ... ┆ away_24_x ┆ away_24_y ┆ away_24_d ┆ away_24_s │\n",
-       "│ id      ┆ ---        ┆ ---      ┆ te       ┆     ┆ ---       ┆ ---       ┆ ---       ┆ ---       │\n",
-       "│ ---     ┆ f64        ┆ i64      ┆ ---      ┆     ┆ f64       ┆ f64       ┆ f64       ┆ f64       │\n",
-       "│ i64     ┆            ┆          ┆ f64      ┆     ┆           ┆           ┆           ┆           │\n",
-       "╞═════════╪════════════╪══════════╪══════════╪═════╪═══════════╪═══════════╪═══════════╪═══════════╡\n",
-       "│ 1       ┆ 0.0        ┆ 1        ┆ null     ┆ ... ┆ 0.37833   ┆ 0.72617   ┆ null      ┆ null      │\n",
-       "│ 1       ┆ 0.04       ┆ 2        ┆ null     ┆ ... ┆ 0.37833   ┆ 0.72617   ┆ null      ┆ null      │\n",
-       "│ 1       ┆ 0.08       ┆ 3        ┆ null     ┆ ... ┆ 0.37833   ┆ 0.72617   ┆ null      ┆ null      │\n",
-       "│ 1       ┆ 0.12       ┆ 4        ┆ null     ┆ ... ┆ 0.37756   ┆ 0.72527   ┆ null      ┆ null      │\n",
-       "│ ...     ┆ ...        ┆ ...      ┆ ...      ┆ ... ┆ ...       ┆ ...       ┆ ...       ┆ ...       │\n",
-       "│ 1       ┆ 0.24       ┆ 7        ┆ null     ┆ ... ┆ 0.37439   ┆ 0.72249   ┆ null      ┆ null      │\n",
-       "│ 1       ┆ 0.28       ┆ 8        ┆ null     ┆ ... ┆ 0.3732    ┆ 0.72152   ┆ null      ┆ null      │\n",
-       "│ 1       ┆ 0.32       ┆ 9        ┆ null     ┆ ... ┆ 0.37196   ┆ 0.72073   ┆ null      ┆ null      │\n",
-       "│ 1       ┆ 0.36       ┆ 10       ┆ null     ┆ ... ┆ 0.37068   ┆ 0.7199    ┆ null      ┆ null      │\n",
-       "└─────────┴────────────┴──────────┴──────────┴─────┴───────────┴───────────┴───────────┴───────────┘"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = dataset.to_df(engine=\"polars\")\n",
-    "df"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": true,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {},
-   "toc_section_display": true,
-   "toc_window_display": false
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/providers/index.md b/docs/providers/index.md
deleted file mode 100644
index 60486550..00000000
--- a/docs/providers/index.md
+++ /dev/null
@@ -1,33 +0,0 @@
-# Supported providers
-
-## Event data providers
-
-kloppy tries to support as many as possible features for each provider. The table below show what kloppy supports per provider. Each provider might or might not include more information in their files.
-
-Please [open a ticket](https://github.com/PySport/kloppy/issues) when you like to implement additional features.
-
-||| Datafactory | Metrica | Opta | Sportec | Statsbomb | Wyscout |
-|-|-|:-:|:-:|:-:|:-:|:-:|:-:|
-|**File format**||JSON|JSON|XML|XML|JSON|JSON|
-|**Event types**|
-||[Pass][kloppy.domain.models.event.PassEvent]|✓|✓|✓|✓|✓|✓|
-||[Shot][kloppy.domain.models.event.ShotEvent]|✓|✓|✓|✓|✓|✓|
-||[TakeOn][kloppy.domain.models.event.TakeOnEvent]||✓|✓||✓|✓|✓|
-||[Carry][kloppy.domain.models.event.CarryEvent]||✓|||✓||
-||[Substitution][kloppy.domain.models.event.SubstitutionEvent]|✓|||✓|✓||
-||[PlayerOn][kloppy.domain.models.event.PlayerOnEvent]/[Off][kloppy.domain.models.event.PlayerOffEvent]|||||✓||
-||[Card][kloppy.domain.models.event.CardEvent]|✓|||✓|✓|✓|
-||[Recovery][kloppy.domain.models.event.RecoveryEvent]|✓|✓|✓|✓|✓|✓|
-||[BallOut][kloppy.domain.models.event.BallOutEvent]|✓[^2]|✓|✓|✓[^2]|✓|✓|
-||[FoulCommitted][kloppy.domain.models.event.FoulCommittedEvent]|✓|✓|✓|✓|✓|✓|
-||[Generic][kloppy.domain.models.event.GenericEvent][^1]|✓|✓|✓|✓|✓|✓|s
-|**Qualifiers**|
-||SetPiece|✓[^3]|✓[^3]|✓[^3]|✓[^3]|✓[^3]|✓[^3]
-||BodyPart||`Head`|`Head` `RightFoot` `LeftFoot` `Other`|`Head` `RightFoot` `LeftFoot`|`Chest` `Head` `RightFoot` `LeftFoot` `Other` [^4]|`RightFoot` `LeftFoot`
-||PassType|||`Cross` `LongBall` `ThroughBall` `Launch` `ChippedBall` `Assist` `2nd Assist` `SwitchOfPlay` |||`Cross` `Hand` `Head` `High` `Launch` `Simple` `Smart`
-
-[^1]: All other event types
-[^2]: Synthetic event generated by kloppy
-[^3]: Full support means support for these types: `Corner` `FreeKick` `Penalty` `ThrowIn` `KickOff` `GoalKick`
-[^4]: All body parts can be found here: https://github.com/statsbomb/open-data/blob/master/doc/StatsBomb%20Open%20Data%20Specification%20v1.1.pdf
-
diff --git a/docs/providers/opta.ipynb b/docs/providers/opta.ipynb
deleted file mode 100644
index ef0f3441..00000000
--- a/docs/providers/opta.ipynb
+++ /dev/null
@@ -1,248 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "f3c03ff0",
-   "metadata": {},
-   "source": [
-    "# Opta\n",
-    "\n",
-    "## Load local files\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "00366986",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>event_id</th>\n",
-       "      <th>event_type</th>\n",
-       "      <th>result</th>\n",
-       "      <th>success</th>\n",
-       "      <th>period_id</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>end_timestamp</th>\n",
-       "      <th>ball_state</th>\n",
-       "      <th>ball_owning_team</th>\n",
-       "      <th>team_id</th>\n",
-       "      <th>player_id</th>\n",
-       "      <th>coordinates_x</th>\n",
-       "      <th>coordinates_y</th>\n",
-       "      <th>end_coordinates_x</th>\n",
-       "      <th>end_coordinates_y</th>\n",
-       "      <th>receiver_player_id</th>\n",
-       "      <th>set_piece_type</th>\n",
-       "      <th>pass_type</th>\n",
-       "      <th>body_part_type</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1510681159</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>COMPLETE</td>\n",
-       "      <td>True</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.782</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>569</td>\n",
-       "      <td>569</td>\n",
-       "      <td>48337</td>\n",
-       "      <td>50.1</td>\n",
-       "      <td>49.4</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>45.1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>KICK_OFF</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1646695660</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>COMPLETE</td>\n",
-       "      <td>True</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3.692</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>569</td>\n",
-       "      <td>569</td>\n",
-       "      <td>76001</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>45.1</td>\n",
-       "      <td>28.0</td>\n",
-       "      <td>39.8</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1782829017</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>COMPLETE</td>\n",
-       "      <td>True</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5.299</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>569</td>\n",
-       "      <td>569</td>\n",
-       "      <td>164266</td>\n",
-       "      <td>27.9</td>\n",
-       "      <td>39.8</td>\n",
-       "      <td>29.1</td>\n",
-       "      <td>62.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1909884550</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>COMPLETE</td>\n",
-       "      <td>True</td>\n",
-       "      <td>1</td>\n",
-       "      <td>6.995</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>569</td>\n",
-       "      <td>569</td>\n",
-       "      <td>77384</td>\n",
-       "      <td>29.3</td>\n",
-       "      <td>62.6</td>\n",
-       "      <td>26.3</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1515097980</td>\n",
-       "      <td>PASS</td>\n",
-       "      <td>COMPLETE</td>\n",
-       "      <td>True</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8.971</td>\n",
-       "      <td>None</td>\n",
-       "      <td>alive</td>\n",
-       "      <td>569</td>\n",
-       "      <td>569</td>\n",
-       "      <td>164266</td>\n",
-       "      <td>26.3</td>\n",
-       "      <td>34.3</td>\n",
-       "      <td>29.1</td>\n",
-       "      <td>7.4</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     event_id event_type    result  success  period_id  timestamp  \\\n",
-       "0  1510681159       PASS  COMPLETE     True          1      0.782   \n",
-       "1  1646695660       PASS  COMPLETE     True          1      3.692   \n",
-       "2  1782829017       PASS  COMPLETE     True          1      5.299   \n",
-       "3  1909884550       PASS  COMPLETE     True          1      6.995   \n",
-       "4  1515097980       PASS  COMPLETE     True          1      8.971   \n",
-       "\n",
-       "  end_timestamp ball_state ball_owning_team team_id player_id  coordinates_x  \\\n",
-       "0          None      alive              569     569     48337           50.1   \n",
-       "1          None      alive              569     569     76001           36.4   \n",
-       "2          None      alive              569     569    164266           27.9   \n",
-       "3          None      alive              569     569     77384           29.3   \n",
-       "4          None      alive              569     569    164266           26.3   \n",
-       "\n",
-       "   coordinates_y  end_coordinates_x  end_coordinates_y  receiver_player_id  \\\n",
-       "0           49.4               36.4               45.1                 NaN   \n",
-       "1           45.1               28.0               39.8                 NaN   \n",
-       "2           39.8               29.1               62.0                 NaN   \n",
-       "3           62.6               26.3               37.6                 NaN   \n",
-       "4           34.3               29.1                7.4                 NaN   \n",
-       "\n",
-       "  set_piece_type pass_type body_part_type  \n",
-       "0       KICK_OFF       NaN            NaN  \n",
-       "1            NaN       NaN            NaN  \n",
-       "2            NaN       NaN            NaN  \n",
-       "3            NaN       NaN            NaN  \n",
-       "4            NaN       NaN            NaN  "
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from kloppy import opta\n",
-    "\n",
-    "dataset = opta.load(\n",
-    "    f7_data=\"../../kloppy/tests/files/opta_f7.xml\",\n",
-    "    f24_data=\"../../kloppy/tests/files/opta_f24.xml\",\n",
-    "    \n",
-    "    # Optional arguments\n",
-    "    coordinates=\"opta\",\n",
-    "    event_types=[\"pass\", \"shot\"]\n",
-    ")\n",
-    "\n",
-    "dataset.to_df().head()"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "kloppy-venv",
-   "language": "python",
-   "name": "kloppy-venv"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/reference/code-data/index.md b/docs/reference/code-data/index.md
deleted file mode 100644
index a427ac44..00000000
--- a/docs/reference/code-data/index.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# Code Data
-
-This type of data can be collected by hand using tools like SportsCode.
-
-Kloppy allows easy read AND write functionallity for the codes in SportsCode XML format.
diff --git a/docs/reference/domain/code-dataset.md b/docs/reference/domain/code-dataset.md
new file mode 100644
index 00000000..de64bf06
--- /dev/null
+++ b/docs/reference/domain/code-dataset.md
@@ -0,0 +1 @@
+::: kloppy.domain.CodeDataset
diff --git a/docs/reference/domain/event-dataset.md b/docs/reference/domain/event-dataset.md
new file mode 100644
index 00000000..b87dd3e4
--- /dev/null
+++ b/docs/reference/domain/event-dataset.md
@@ -0,0 +1 @@
+::: kloppy.domain.EventDataset
diff --git a/docs/reference/domain/index.md b/docs/reference/domain/index.md
new file mode 100644
index 00000000..9dbdfe2b
--- /dev/null
+++ b/docs/reference/domain/index.md
@@ -0,0 +1,4 @@
+# Domain concepts
+
+Here should come a table which gives an overview of all objects
+in `kloppy.domain`.
diff --git a/docs/reference/metadata/index.md b/docs/reference/domain/metadata/index.md
similarity index 93%
rename from docs/reference/metadata/index.md
rename to docs/reference/domain/metadata/index.md
index 7e361203..92b1b07f 100644
--- a/docs/reference/metadata/index.md
+++ b/docs/reference/domain/metadata/index.md
@@ -1,3 +1,5 @@
 # Metadata
 
 One of the main benefits of working with kloppy is that it loads metadata with the event data. This metadata includes teams (name, ground and provider id) and players (name, jersey number, optional position and provider id). Using this metadata, it becomes very easy to create an analysis that is usable by humans, because it includes names instead of only numbers.
+
+::: kloppy.domain.Metadata
diff --git a/docs/reference/domain/formation-type.md b/docs/reference/domain/metadata/team/formation-type.md
similarity index 100%
rename from docs/reference/domain/formation-type.md
rename to docs/reference/domain/metadata/team/formation-type.md
diff --git a/docs/reference/domain/team.md b/docs/reference/domain/metadata/team/index.md
similarity index 100%
rename from docs/reference/domain/team.md
rename to docs/reference/domain/metadata/team/index.md
diff --git a/docs/reference/domain/player.md b/docs/reference/domain/metadata/team/player/index.md
similarity index 100%
rename from docs/reference/domain/player.md
rename to docs/reference/domain/metadata/team/player/index.md
diff --git a/docs/reference/domain/position.md b/docs/reference/domain/metadata/team/player/position.md
similarity index 100%
rename from docs/reference/domain/position.md
rename to docs/reference/domain/metadata/team/player/position.md
diff --git a/docs/reference/domain/tracking-dataset.md b/docs/reference/domain/tracking-dataset.md
new file mode 100644
index 00000000..d0ee640f
--- /dev/null
+++ b/docs/reference/domain/tracking-dataset.md
@@ -0,0 +1 @@
+::: kloppy.domain.TrackingDataset
diff --git a/docs/reference/event-data/index.md b/docs/reference/event-data/index.md
index 4bbdce9d..a55d6c95 100644
--- a/docs/reference/event-data/index.md
+++ b/docs/reference/event-data/index.md
@@ -1,29 +1,5 @@
 # Event Data
 
-An event data feed is a time-coded feed that lists high-level semantic events and player actions in a match. Each record in the feed includes a team, event, type, and timestamp for each action. Furthermore, every event has a series of attributes and qualifiers describing it that depend on the event’s type. You will find explanations of every possible event type, its attributes and qualifiers that are supported in kloppy in our complete lists of Events Types and Qualifier Types.
-
-You can load an example event data set as follows:
-
-```py
-from kloppy import statsbomb
-
-dataset = statsbomb.load_open_data()
-```
-
-An event data feed is deserialized into an EventDataset that groups all events of a single game and provides you with utility functions to navigate and visualize the dataset. Examples illustrating how to load data from other sources can be found in … The following tutorials explain how to analyse the data:
-
-- Loading event stream data
-- Navigating event stream data
-- Visualizing event stream data
-- Attribute transformers
-- Defining custom Event classes
-- Synchronizing event data with tracking data
-- Transforming to a Pandas or Polars dataframe format
-
-In the reminder of this section we describe the standardized data model that kloppy uses for representing event data.
-
-Each event has at least the following attributes:
-
 ::: kloppy.domain.Event
     options:
         show_bases: false
diff --git a/docs/reference/providers/datafactory.md b/docs/reference/providers/datafactory.md
new file mode 100644
index 00000000..41ede704
--- /dev/null
+++ b/docs/reference/providers/datafactory.md
@@ -0,0 +1,2 @@
+::: kloppy._providers.datafactory
+
diff --git a/docs/reference/providers/metrica.md b/docs/reference/providers/metrica.md
new file mode 100644
index 00000000..63533756
--- /dev/null
+++ b/docs/reference/providers/metrica.md
@@ -0,0 +1 @@
+::: kloppy._providers.metrica
diff --git a/docs/reference/tracking-data/index.md b/docs/reference/providers/secondspectrum.md
similarity index 100%
rename from docs/reference/tracking-data/index.md
rename to docs/reference/providers/secondspectrum.md
diff --git a/docs/reference/providers/skillcorner.md b/docs/reference/providers/skillcorner.md
new file mode 100644
index 00000000..420a872e
--- /dev/null
+++ b/docs/reference/providers/skillcorner.md
@@ -0,0 +1,2 @@
+
+::: kloppy._providers.skillcorner
diff --git a/docs/reference/providers/sportec.md b/docs/reference/providers/sportec.md
new file mode 100644
index 00000000..8cebc59c
--- /dev/null
+++ b/docs/reference/providers/sportec.md
@@ -0,0 +1,2 @@
+
+::: kloppy._providers.sportec
diff --git a/docs/reference/providers/sportscode.md b/docs/reference/providers/sportscode.md
new file mode 100644
index 00000000..28723e82
--- /dev/null
+++ b/docs/reference/providers/sportscode.md
@@ -0,0 +1,2 @@
+
+::: kloppy._providers.sportscode
diff --git a/docs/reference/providers/statsbomb.md b/docs/reference/providers/statsbomb.md
new file mode 100644
index 00000000..abd2c5d8
--- /dev/null
+++ b/docs/reference/providers/statsbomb.md
@@ -0,0 +1,2 @@
+::: kloppy._providers.statsbomb
+
diff --git a/docs/reference/providers/statsperform.md b/docs/reference/providers/statsperform.md
new file mode 100644
index 00000000..0d970d84
--- /dev/null
+++ b/docs/reference/providers/statsperform.md
@@ -0,0 +1,2 @@
+
+::: kloppy._providers.statsperform
diff --git a/docs/reference/providers/tracab.md b/docs/reference/providers/tracab.md
new file mode 100644
index 00000000..c273b575
--- /dev/null
+++ b/docs/reference/providers/tracab.md
@@ -0,0 +1,2 @@
+
+::: kloppy._providers.tracab
diff --git a/docs/reference/providers/wyscout.md b/docs/reference/providers/wyscout.md
new file mode 100644
index 00000000..d15dbc92
--- /dev/null
+++ b/docs/reference/providers/wyscout.md
@@ -0,0 +1,2 @@
+
+::: kloppy._providers.wyscout
diff --git a/docs/user-guide/code-data.md b/docs/user-guide/code-data.md
new file mode 100644
index 00000000..01097d43
--- /dev/null
+++ b/docs/user-guide/code-data.md
@@ -0,0 +1,15 @@
+# Processing code data
+
+Kloppy allows easy read AND write functionallity for the codes in SportsCode XML format.
+
+## Reading XML file
+
+Lorem ipsum ...
+
+## Writing XML file
+
+Lorem ipsum ...
+
+## Converting event dataset into XML dataset
+
+Lorem ipsum ...
diff --git a/docs/user-guide/datasets/code-data.md b/docs/user-guide/concepts/code-data.md
similarity index 100%
rename from docs/user-guide/datasets/code-data.md
rename to docs/user-guide/concepts/code-data.md
diff --git a/docs/user-guide/concepts/coordinates.md b/docs/user-guide/concepts/coordinates.md
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/user-guide/datasets/event-data.md b/docs/user-guide/concepts/event-data.md
similarity index 57%
rename from docs/user-guide/datasets/event-data.md
rename to docs/user-guide/concepts/event-data.md
index 353e0c61..77fe4c4d 100644
--- a/docs/user-guide/datasets/event-data.md
+++ b/docs/user-guide/concepts/event-data.md
@@ -10,14 +10,4 @@ from kloppy import statsbomb
 dataset = statsbomb.load_open_data()
 ```
 
-An event data feed is deserialized into an EventDataset that groups all events of a single game and provides you with utility functions to navigate and visualize the dataset. Examples illustrating how to load data from other sources can be found in … The following tutorials explain how to analyse the data:
-
-Loading event stream data
-Navigating event stream data
-Visualizing event stream data
-Attribute transformers
-Defining custom Event classes
-Synchronizing event data with tracking data
-Transforming to a Pandas or Polars dataframe format
-
 In the reminder of this section we describe the standardized data model that kloppy uses for representing event data.
diff --git a/docs/user-guide/concepts/formations.md b/docs/user-guide/concepts/formations.md
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/user-guide/concepts/index.md b/docs/user-guide/concepts/index.md
new file mode 100644
index 00000000..2b7e9ef1
--- /dev/null
+++ b/docs/user-guide/concepts/index.md
@@ -0,0 +1,13 @@
+# Concepts
+
+This chapter describes the core concepts of kloppy.
+Understanding these will help you to understand the following chapters.
+We will cover the following topics:
+
+- [Event data](event-data.md)
+- [Tracking data](tracking-data.md)
+- [Metadata](metadata.md)
+- [Coordinates](coordinate-system.md)
+- [Time](time.md)
+- [Formations](formation.md)
+- [Positions](position.md)
diff --git a/docs/user-guide/datasets/metadata.md b/docs/user-guide/concepts/metadata.md
similarity index 100%
rename from docs/user-guide/datasets/metadata.md
rename to docs/user-guide/concepts/metadata.md
diff --git a/docs/user-guide/concepts/positions.md b/docs/user-guide/concepts/positions.md
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/user-guide/concepts/time.md b/docs/user-guide/concepts/time.md
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/user-guide/datasets/tracking-data.md b/docs/user-guide/concepts/tracking-data.md
similarity index 55%
rename from docs/user-guide/datasets/tracking-data.md
rename to docs/user-guide/concepts/tracking-data.md
index 98a103f3..08edfcc3 100644
--- a/docs/user-guide/datasets/tracking-data.md
+++ b/docs/user-guide/concepts/tracking-data.md
@@ -10,9 +10,4 @@ from kloppy import metrica
 dataset = metrica.load_open_data(limit=10)
 ```
 
-This gives you a TrackingDataset that groups all events of a simple game and provides you with utility functions to navigate the dataset. Examples illustrating how to load data from other sources can be found in … The following tutorials explain how to analyse the data:
-
-Loading tracking data
-Transforming to a Pandas or Polars dataframe format
-
 In the remainder of this section we describe the standardised data model that kloppy uses for representing event data.
diff --git a/docs/user-guide/coordinate-system.md b/docs/user-guide/coordinate-system.md
deleted file mode 100644
index dd80435b..00000000
--- a/docs/user-guide/coordinate-system.md
+++ /dev/null
@@ -1,6 +0,0 @@
-# Coordinate system
-
-!!! example
-
-    This page should explain all concepts related to the coordinate system,
-    such as the pitch dimensions, orientation and origin.
diff --git a/docs/user-guide/dataframe/index.md b/docs/user-guide/dataframe/index.md
new file mode 100644
index 00000000..431d310e
--- /dev/null
+++ b/docs/user-guide/dataframe/index.md
@@ -0,0 +1,23 @@
+# Dataframe output
+
+## `to_df`
+
+Polars vs Pandas
+
+## Selecting output columns
+
+When you want to export a set of attributes you can specify a wildcard pattern. This pattern is matched against all default (exported by the Default Transformer) attributes.
+
+## Adding metadata
+
+The metadata can also be used when transforming a dataset to a pandas dataframe. Using keyword argument additional columns can be created.
+
+## Attribute transformers
+
+Attribute transformer make it possible to add predefined attributes to a dataset. The attributes are calculated during export to a pandas DataFrame. Kloppy does provide some Transformers like one to calculate the angle to the goal, and one to calculate the distance to the goal. When you need additional Transformers you can write your one by providing a Callable to to_df.
+
+## User-defined transformers
+
+Transformers are nothing more than a function which accepts a Event and returns Dict (Callable[[Event], Dict])). The Transformers provided by kloppy are actually classes that define a **call** method. You can also use a lambda function or any other function to transform attributes.
+
+When you use named attributes (specified using a keyword argument) the returned value can be any type (Callable[[Event], Any]).
diff --git a/docs/user-guide/datasets/index.md b/docs/user-guide/datasets/index.md
deleted file mode 100644
index ad22b810..00000000
--- a/docs/user-guide/datasets/index.md
+++ /dev/null
@@ -1,7 +0,0 @@
-# Datasets
-
-!!! example
-
-    This page should give an overview of the data sources that are used in
-    soccer and supported by kloppy. The next pages should explain how to load
-    each of these datasets and give an overview of the basic operations.
diff --git a/docs/user-guide/event-data.md b/docs/user-guide/event-data.md
new file mode 100644
index 00000000..9d429e0b
--- /dev/null
+++ b/docs/user-guide/event-data.md
@@ -0,0 +1,12 @@
+# Processing event data
+
+!!! example
+
+    This chapter should give an overview of operations that are supported
+    for event stream data.
+
+## Navigating a dataset
+
+## Adding state
+
+## Event factory
diff --git a/docs/user-guide/getting-started.md b/docs/user-guide/getting-started.md
index bc0770ca..4d838018 100644
--- a/docs/user-guide/getting-started.md
+++ b/docs/user-guide/getting-started.md
@@ -3,8 +3,10 @@
 !!! example
 
     This page should contain a 15-min tutorial that introduces the key
-    concepts, tools and operations supported by kloppy. Along the way it will
-    give pointers to much more detailed information.
+    concepts, tools and operations supported by kloppy. This includes
+    loading event and tracking data, outputting the data to a dataframe,
+    transforming the coordinate system, the metadata, and navigating a dataset.
+    Along the way it will give pointers to much more detailed information.
 
 This chapter is here to help you get started with kloppy. It covers all the fundamental features and functionalities of the library, making it easy for new users to familiarise themselves with the basics from initial installation and setup to core functionalities. If you're already familiar with kloppy's features, feel free to skip ahead to the [next chapter about installation options](installation.md).
 
@@ -14,19 +16,44 @@ This chapter is here to help you get started with kloppy. It covers all the fund
 pip install kloppy
 ```
 
-## Loading data
+## Event stream data
 
-```python exec="true" source="above" session="getting-started/reading"
-from kloppy import statsbomb
+```python exec="true" source="above" session="getting-started"
+from kloppy import metrica
 
-dataset = statsbomb.load_open_data(event_types=["pass", "shot"])
+API_URL = "https://raw.githubusercontent.com/metrica-sports/sample-data/master/data"
+
+event_dataset = metrica.load_event(
+    meta_data=f"{API_URL}/Sample_Game_3/Sample_Game_3_metadata.xml",
+    event_data=f"{API_URL}/Sample_Game_3/Sample_Game_3_events.json",
+    coordinates="metrica"
+)
+```
+
+```python exec="true" result="text" session="getting-started"
+print(event_dataset.records[0])
 ```
 
-```python exec="true" result="text" session="getting-started/reading"
-print(dataset.records[0])
-print(dataset.to_df().head().to_markdown())
+```python exec="true" result="text" session="getting-started"
+print(event_dataset.to_df().head().to_markdown())
 ```
 
-```python exec="on" result="text" session="getting-started/reading"
+```python exec="on" result="text" session="getting-started"
 --8<-- "python/user-guide/getting-started/reading-writing.py:csv"
 ```
+
+## Tracking data
+
+```python exec="true" source="above" session="getting-started"
+from kloppy import metrica
+
+API_URL = "https://raw.githubusercontent.com/metrica-sports/sample-data/master/data"
+
+# Load the raw data, we'll only load the first 30 seconds of the game
+tracking_dataset = metrica.load_tracking_epts(
+    meta_data=f"{API_URL}/Sample_Game_3/Sample_Game_3_metadata.xml",
+    raw_data=f"{API_URL}/Sample_Game_3/Sample_Game_3_tracking.txt",
+    limit=30*25,
+    coordinates="metrica"
+)
+```
diff --git a/docs/providers/datafactory.ipynb b/docs/user-guide/providers/datafactory.ipynb
similarity index 100%
rename from docs/providers/datafactory.ipynb
rename to docs/user-guide/providers/datafactory.ipynb
diff --git a/docs/user-guide/providers/index.md b/docs/user-guide/providers/index.md
new file mode 100644
index 00000000..3186c7b7
--- /dev/null
+++ b/docs/user-guide/providers/index.md
@@ -0,0 +1,8 @@
+# Loading data
+
+!!! example
+
+    This page should give an overview of the data sources that are used in
+    soccer and supported by kloppy and introduce adatapter.
+    The next pages should explain how to load each of these datasets and give
+    an overview of the basic operations.
diff --git a/docs/providers/metrica.ipynb b/docs/user-guide/providers/metrica.ipynb
similarity index 100%
rename from docs/providers/metrica.ipynb
rename to docs/user-guide/providers/metrica.ipynb
diff --git a/docs/providers/secondspectrum.ipynb b/docs/user-guide/providers/secondspectrum.ipynb
similarity index 100%
rename from docs/providers/secondspectrum.ipynb
rename to docs/user-guide/providers/secondspectrum.ipynb
diff --git a/docs/providers/skillcorner.ipynb b/docs/user-guide/providers/skillcorner.ipynb
similarity index 100%
rename from docs/providers/skillcorner.ipynb
rename to docs/user-guide/providers/skillcorner.ipynb
diff --git a/docs/providers/sportec.ipynb b/docs/user-guide/providers/sportec.ipynb
similarity index 100%
rename from docs/providers/sportec.ipynb
rename to docs/user-guide/providers/sportec.ipynb
diff --git a/docs/providers/sportscode.ipynb b/docs/user-guide/providers/sportscode.ipynb
similarity index 100%
rename from docs/providers/sportscode.ipynb
rename to docs/user-guide/providers/sportscode.ipynb
diff --git a/docs/providers/statsbomb.ipynb b/docs/user-guide/providers/statsbomb.ipynb
similarity index 100%
rename from docs/providers/statsbomb.ipynb
rename to docs/user-guide/providers/statsbomb.ipynb
diff --git a/docs/providers/statsperform.ipynb b/docs/user-guide/providers/statsperform.ipynb
similarity index 100%
rename from docs/providers/statsperform.ipynb
rename to docs/user-guide/providers/statsperform.ipynb
diff --git a/docs/providers/tracab.ipynb b/docs/user-guide/providers/tracab.ipynb
similarity index 100%
rename from docs/providers/tracab.ipynb
rename to docs/user-guide/providers/tracab.ipynb
diff --git a/docs/providers/wyscout.ipynb b/docs/user-guide/providers/wyscout.ipynb
similarity index 100%
rename from docs/providers/wyscout.ipynb
rename to docs/user-guide/providers/wyscout.ipynb
diff --git a/docs/user-guide/state.md b/docs/user-guide/state.md
deleted file mode 100644
index f7f24d02..00000000
--- a/docs/user-guide/state.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# State
-
-!!! example
-
-    This page should explain how to use state.
diff --git a/docs/user-guide/tracking-data.md b/docs/user-guide/tracking-data.md
new file mode 100644
index 00000000..5bb6d0ac
--- /dev/null
+++ b/docs/user-guide/tracking-data.md
@@ -0,0 +1,6 @@
+# Processing tracking data
+
+!!! example
+
+    This chapter should give an overview of operations that are supported
+    for event stream data
diff --git a/docs/user-guide/transformations/dimensions.md b/docs/user-guide/transformations/dimensions.md
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/user-guide/transformations/index.md b/docs/user-guide/transformations/index.md
index d9323524..36638361 100644
--- a/docs/user-guide/transformations/index.md
+++ b/docs/user-guide/transformations/index.md
@@ -1,5 +1,5 @@
-# Transformations
+# Dataset transformations
 
 !!! example
 
-    This page should explain how dataset transformations work.
+    This chapter should explain how dataset transformations work.
diff --git a/docs/user-guide/transformations/orientation.md b/docs/user-guide/transformations/orientation.md
new file mode 100644
index 00000000..e69de29b
diff --git a/mkdocs.yml b/mkdocs.yml
index 066e7f4e..336aa88c 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -23,67 +23,80 @@ nav:
       - index.md
       - Getting started: user-guide/getting-started.md
       - Installation: user-guide/installation.md
-      - Datasets:
-          - user-guide/datasets/index.md
-          - Event data: user-guide/datasets/event-data.md
-          - Tracking data: user-guide/datasets/tracking-data.md
-          - Code data: user-guide/datasets/code-data.md
-          - Metadata: user-guide/datasets/metadata.md
-      - Coordinate system: user-guide/coordinate-system.md
-      - Transformations:
+      - Concepts:
+          - user-guide/concepts/index.md
+          - Event data: user-guide/concepts/event-data.md
+          - Tracking data: user-guide/concepts/tracking-data.md
+          - Code data: user-guide/concepts/code-data.md
+          - Metadata: user-guide/concepts/metadata.md
+          - Coordinates: user-guide/concepts/coordinates.md
+          - Time: user-guide/concepts/time.md
+          - Positions: user-guide/concepts/positions.md
+          - Formations: user-guide/concepts/formations.md
+      - Loading data:
+          - user-guide/providers/index.md
+          - Datafactory: user-guide/providers/datafactory.ipynb
+          - Metrica: user-guide/providers/metrica.ipynb
+          - SecondSpectrum: user-guide/providers/secondspectrum.ipynb
+          - SkillCorner: user-guide/providers/skillcorner.ipynb
+          - Sportec: user-guide/providers/sportec.ipynb
+          - Sportscode: user-guide/providers/sportscode.ipynb
+          - Statsbomb: user-guide/providers/statsbomb.ipynb
+          - StatsPerform: user-guide/providers/statsperform.ipynb
+          - TRACAB: user-guide/providers/tracab.ipynb
+          - Wyscout: user-guide/providers/wyscout.ipynb
+      - Transforming data:
           - user-guide/transformations/index.md
-      - State: user-guide/state.md
+          - Pitch dimensions: user-guide/transformations/dimensions.md
+          - Orientation: user-guide/transformations/orientation.md
+      - Processing data:
+        - Event data: user-guide/event-data.md
+        - Tracking data: user-guide/tracking-data.md
+        - Code data: user-guide/code-data.md
+      - Dataframe ouput: user-guide/dataframe/index.md
       - Configuration: user-guide/configuration.md
   - How-to guides:
       - examples/index.md
       - Loading data from external sources: examples/adapter.ipynb
-        # - Event Data: examples/event_data.ipynb
-        # - Tracking Data: examples/tracking_data.ipynb
-        # - Broadcast Tracking Data: examples/broadcast_tracking_data.ipynb
-        # - Code data: examples/code_data.ipynb
-        # - State: examples/state.ipynb
-        # - Navigating: examples/navigating.ipynb
-        # - Plotting: examples/plotting.ipynb
-        # - Config: examples/config.ipynb
-  - Providers:
-      - providers/index.md
-      - Datafactory: providers/datafactory.ipynb
-      - Metrica: providers/metrica.ipynb
-      - Opta: providers/opta.ipynb
-      - SecondSpectrum: providers/secondspectrum.ipynb
-      - SkillCorner: providers/skillcorner.ipynb
-      - Sportec: providers/sportec.ipynb
-      - Sportscode: providers/sportscode.ipynb
-      - Statsbomb: providers/statsbomb.ipynb
-      - StatsPerform: providers/statsperform.ipynb
-      - TRACAB: providers/tracab.ipynb
-      - Wyscout: providers/wyscout.ipynb
+      - Analyzing SportsCode XML files with DuckDB: 'presentations/pysport-meetup-april-2023/Kloppy x DuckDB.ipynb'
   - Reference:
       - reference/index.md
       - Domain Concepts:
-          - Team: reference/domain/team.md
-          - FormationType: reference/domain/formation-type.md
-          - Player: reference/domain/player.md
-          - Position: reference/domain/position.md
-          - Ground: reference/domain/ground.md
-          - Score: reference/domain/score.md
-          - Provider: reference/domain/provider.md
-          - Orientation: reference/domain/orientation.md
-      - Datasets:
-          - Event Data:
-              - Overview: reference/event-data/index.md
-              - Event Types:
-                  - Oveview: reference/event-data/event-types/index.md
-                  - Pass: reference/event-data/event-types/pass.md
-              - Qualifiers:
-                  - Overview: reference/event-data/qualifiers/index.md
-                  - SetPieceQualifier: references/event-data/qualifiers/set-piece.md
-          - Tracking Data:
-              - Overview: reference/tracking-data/index.md
-          - Code Data:
-              - Overview: reference/code-data/index.md
-          - Metadata:
-              - Overview: reference/metadata/index.md
+          - reference/domain/index.md
+          - EventDataset: reference/domain/event-dataset.md
+          - TrackingDataset: reference/domain/tracking-dataset.md
+          - CodeDataset: reference/domain/code-dataset.md
+          - Metadata: 
+              - reference/domain/metadata/index.md
+              - Team: 
+                - reference/domain/metadata/team/index.md
+                - FormationType: reference/domain/metadata/team/formation-type.md
+                - Player: 
+                  - reference/domain/metadata/team/player/index.md
+                  - Position: reference/domain/metadata/team/player/position.md
+              - Ground: reference/domain/ground.md
+              - Score: reference/domain/score.md
+              - Provider: reference/domain/provider.md
+              - Orientation: reference/domain/orientation.md
+      - Data loaders:
+          - Datafactory: reference/providers/datafactory.md
+          - Metrica: reference/providers/metrica.md
+          - SecondSpectrum: reference/providers/secondspectrum.md
+          - SkillCorner: reference/providers/skillcorner.md
+          - Sportec: reference/providers/sportec.md
+          - Sportscode: reference/providers/sportscode.md
+          - Statsbomb: reference/providers/statsbomb.md
+          - StatsPerform: reference/providers/statsperform.md
+          - TRACAB: reference/providers/tracab.md
+          - Wyscout: reference/providers/wyscout.md
+      - Event Data Model:
+        - reference/event-data/index.md
+        - Event Types:
+            - Oveview: reference/event-data/event-types/index.md
+            - Pass: reference/event-data/event-types/pass.md
+        - Qualifiers:
+            - Overview: reference/event-data/qualifiers/index.md
+            - SetPieceQualifier: references/event-data/qualifiers/set-piece.md
   - Development:
       - Issues: 'issues.md'
       - Contributing: 'contributing.md'