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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"#edit only this tab\n",
"#give the folder path of the match\n",
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"path = \"/home/kirugulige/Documents/Football-Analytics/open-data-master/data/events/\"\n",
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"home_team = 'Espanyol'\n",
"away_team = 'Barcelona'"
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]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"done\n"
]
}
],
"source": [
"import json\n",
"import os\n",
"import codecs\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.patches import Arc, Rectangle, ConnectionPatch\n",
"from matplotlib.offsetbox import OffsetImage\n",
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"import StatsbombPitch as sb\n",
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"from functools import reduce\n",
"\n",
"Xg_req = pd.DataFrame(data=None)\n",
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"\n",
"filename = '69275.json' # remove the comment line to work for this match\n",
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"with codecs.open(\"%s\" % path + filename,encoding='utf-8') as data_file: \n",
" data = json.load(data_file)\n",
" df = pd.DataFrame(data=None)\n",
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" \n",
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" df = pd.json_normalize(data, sep = \"_\")\n",
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" \n",
" #df = df[(df['type_name'] == \"Shot\")]\n",
" #df = df.loc[:,['location','shot_body_part_id','shot_end_location','shot_one_on_one','shot_technique_id','shot_type_id','under_pressure','shot_outcome_id']]\n",
" #print(df.shape)\n",
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"Xg_req = Xg_req.append(df,ignore_index=True,sort=False)\n",
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" #df.drop(df.index, inplace=True)\n",
" \n",
"print(\"done\")\n",
"df = Xg_req"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"#type_id=30 is pass event AND type_id=19 is substitution event\n",
"\n",
"pass_m = df.query('type_id == 30')\n",
"substitution = df.query('type_id == 19')\n",
"#pass_m = df.query('type_name == pass')\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"['Javier Alejandro Mascherano' 'Seydou Kéita' 'Bojan Krkíc Pérez']\n",
"['Jesús Alberto Dátolo' 'Jordi Amat Maas' 'David García De La Cruz']\n"
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]
}
],
"source": [
"#this cell is WIP\n",
"substitution_home = set()\n",
"substitution_home = substitution[substitution.team_name == home_team]\n",
"substitution_home = substitution_home['substitution_replacement_name'].unique()\n",
"substitution_away = set()\n",
"substitution_away = substitution[substitution.team_name == away_team]\n",
"substitution_away = substitution_away['substitution_replacement_name'].unique()\n",
"print(substitution_away)\n",
"print(substitution_home)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# to get \n",
"\n",
"home_player = pass_m[(pass_m.team_name == home_team)] \n",
"home_team_list = set()\n",
"home_team_list = home_player['player_name'].unique()\n",
"#print(substitution_belgium)\n",
"#belgium_list = [player for player in belgium_list if player not in substitution_belgium]\n",
"#belgium_list.remove([x for x in substitution_belgium])#belgium_list - substitution_belgium\n",
"home_player =pass_m['player_name'].isin(home_team_list)\n",
"pass_home = pass_m[home_player] #contains 11 players of home team\n",
"\n",
"away_player = pass_m[(pass_m.team_name == away_team)] \n",
"away_list = away_player['player_name'].unique()\n",
"#away_list = away_list - substitution_brazil\n",
"away_player = pass_m['player_name'].isin(away_list)\n",
"pass_away = pass_m[away_player]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
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"outputs": [
{
"data": {
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" vertical-align: middle;\n",
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"\n",
" .dataframe tbody tr th {\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
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" <th>id</th>\n",
" <th>index</th>\n",
" <th>period</th>\n",
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" <th>timestamp</th>\n",
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" <th>minute</th>\n",
" <th>second</th>\n",
" <th>possession</th>\n",
" <th>duration</th>\n",
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" <th>type_id</th>\n",
" <th>type_name</th>\n",
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" <th>...</th>\n",
" <th>pass_cut_back</th>\n",
" <th>substitution_outcome_id</th>\n",
" <th>substitution_outcome_name</th>\n",
" <th>substitution_replacement_id</th>\n",
" <th>substitution_replacement_name</th>\n",
" <th>injury_stoppage_in_chain</th>\n",
" <th>foul_committed_offensive</th>\n",
" <th>pass_deflected</th>\n",
" <th>block_deflection</th>\n",
" <th>goalkeeper_punched_out</th>\n",
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" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>4</th>\n",
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" <td>d6406089-778b-49e0-a70a-ade4788cf911</td>\n",
" <td>5</td>\n",
" <td>1</td>\n",
" <td>00:00:00.738</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0.606100</td>\n",
" <td>30</td>\n",
" <td>Pass</td>\n",
" <td>...</td>\n",
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" <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>8</th>\n",
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" <td>73d8e43f-8e84-4b5d-88cc-9423278134d5</td>\n",
" <td>9</td>\n",
" <td>1</td>\n",
" <td>00:00:02.511</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1.776163</td>\n",
" <td>30</td>\n",
" <td>Pass</td>\n",
" <td>...</td>\n",
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" <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>16</th>\n",
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" <td>8e47d35d-ab38-4419-a991-efe7105dec56</td>\n",
" <td>17</td>\n",
" <td>1</td>\n",
" <td>00:00:09.581</td>\n",
" <td>0</td>\n",
" <td>9</td>\n",
" <td>2</td>\n",
" <td>1.242900</td>\n",
" <td>30</td>\n",
" <td>Pass</td>\n",
" <td>...</td>\n",
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" <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>20</th>\n",
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" <td>a449bfa2-7bd9-4f94-8e13-595620c9bcee</td>\n",
" <td>21</td>\n",
" <td>1</td>\n",
" <td>00:00:18.784</td>\n",
" <td>0</td>\n",
" <td>18</td>\n",
" <td>3</td>\n",
" <td>1.298500</td>\n",
" <td>30</td>\n",
" <td>Pass</td>\n",
" <td>...</td>\n",
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" <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>24</th>\n",
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" <td>77f45a53-2eab-4ee5-bfbd-ad39d20a36cb</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>00:00:20.122</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>3</td>\n",
" <td>0.950262</td>\n",
" <td>30</td>\n",
" <td>Pass</td>\n",
" <td>...</td>\n",
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" <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 ×
"</div>"
],
"text/plain": [
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" id index period timestamp minute \\\n",
"4 d6406089-778b-49e0-a70a-ade4788cf911 5 1 00:00:00.738 0 \n",
"8 73d8e43f-8e84-4b5d-88cc-9423278134d5 9 1 00:00:02.511 0 \n",
"16 8e47d35d-ab38-4419-a991-efe7105dec56 17 1 00:00:09.581 0 \n",
"20 a449bfa2-7bd9-4f94-8e13-595620c9bcee 21 1 00:00:18.784 0 \n",
"24 77f45a53-2eab-4ee5-bfbd-ad39d20a36cb 25 1 00:00:20.122 0 \n",
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"\n",
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" second possession duration type_id type_name ... pass_cut_back \\\n",
"4 0 2 0.606100 30 Pass ... NaN \n",
"8 2 2 1.776163 30 Pass ... NaN \n",
"16 9 2 1.242900 30 Pass ... NaN \n",
"20 18 3 1.298500 30 Pass ... NaN \n",
"24 20 3 0.950262 30 Pass ... NaN \n",
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"\n",
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" substitution_outcome_id substitution_outcome_name \\\n",
"4 NaN NaN \n",
"8 NaN NaN \n",
"16 NaN NaN \n",
"20 NaN NaN \n",
"24 NaN NaN \n",
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"\n",
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" substitution_replacement_id substitution_replacement_name \\\n",
"4 NaN NaN \n",
"8 NaN NaN \n",
"16 NaN NaN \n",
"20 NaN NaN \n",
"24 NaN NaN \n",
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"\n",
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" injury_stoppage_in_chain foul_committed_offensive pass_deflected \\\n",
"4 NaN NaN NaN \n",
"8 NaN NaN NaN \n",
"16 NaN NaN NaN \n",
"20 NaN NaN NaN \n",
"24 NaN NaN NaN \n",
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"\n",
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" block_deflection goalkeeper_punched_out \n",
"4 NaN NaN \n",
"8 NaN NaN \n",
"16 NaN NaN \n",
"20 NaN NaN \n",
"24 NaN NaN \n",
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"\n",
"[5 rows x 122 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
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"source": [
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"pass_home.head()"
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]
},
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{
"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 748.8x489.6 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
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"source": [
"players = home_team_list\n",
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"#fig=plt.figure() #set up the figures\n",
"sb.sb_pitch(\"#195905\",\"#faf0e6\",\"horizontal\",\"full\")\n",
"plt.axis('on')\n",
"plt.gca().invert_yaxis()\n",
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"for player in players:\n",
" x_avg = 0\n",
" y_avg = 0\n",
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" touches = 0\n",
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" if player not in substitution_home: \n",
" play_temp = pass_home[(pass_home.player_name == player)]\n",
" #print(play_temp.location, players[player])\n",
" for i in range(len(play_temp)):\n",
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" touches+=1\n",
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" \n",
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" #https://math.stackexchange.com/questions/1013230/how-to-find-coordinates-of-reflected-point\n",
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" x_avg = x_avg + play_temp.iloc[i]['location'][0]\n",
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" y_avg = y_avg + play_temp.iloc[i]['location'][1]\n",
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" x_avg = x_avg/len(play_temp)\n",
" y_avg = y_avg/len(play_temp)\n",
" #print(x_avg,y_avg,players[player])\n",
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" plt.scatter(x_avg, y_avg, s= (3 *touches ),color=\"red\",edgecolors=\"black\",zorder = 15) \n",
" plt.annotate(player, (x_avg, y_avg),zorder = 20,color = 'white')\n",
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"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 748.8x489.6 with 1 Axes>"
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]
},
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"metadata": {
"needs_background": "light"
},
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"output_type": "display_data"
}
],
"source": [
"players = away_list #['Alisson Ramsés Becker','Fágner Conserva Lemos','Fernando Luiz Rosa','Gabriel Fernando de Jesus','João Miranda de Souza Filho','José Paulo Bezzera Maciel Júnior','Marcelo Vieira da Silva Júnior','Neymar da Silva Santos Junior','Philippe Coutinho Correia','Thiago Emiliano da Silva','Willian Borges da Silva']\n",
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"sb.sb_pitch(\"#195905\",\"#faf0e6\",\"horizontal\",\"full\")\n",
"plt.axis('on')\n",
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"for player in players:\n",
" x_avg = 0\n",
" y_avg = 0\n",
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" touches = 0\n",
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" if player not in substitution_away:\n",
" #print(players[player])\n",
" play_temp = pass_away[(pass_away.player_name == player)]\n",
" #print(play_temp.location, players[player])\n",
" for i in range(len(play_temp)):\n",
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" touches+=1\n",
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" x_avg = x_avg + play_temp.iloc[i]['location'][0]\n",
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" y_avg = y_avg + play_temp.iloc[i]['location'][1]\n",
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" x_avg = x_avg/len(play_temp)\n",
" y_avg = y_avg/len(play_temp)\n",
" #print(x_avg,y_avg,players[player])\n",
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" plt.scatter(x_avg, y_avg, s= (3 *touches ),color=\"red\",edgecolors=\"black\",zorder = 15) \n",
" plt.annotate(player, (x_avg, y_avg),zorder = 20,color = 'white')\n",
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"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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",
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"version": "3.6.9"
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}
},
"nbformat": 4,
"nbformat_minor": 2
}
