Giuseppe Musicco
813 lines
24 KiB
Plaintext
813 lines
24 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "fd8a6cb9",
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"metadata": {},
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"source": [
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"Scraping for playing probability for the current Serie A matchday.\n",
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"\n",
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"Data from http://fantacalcio.it"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "4c7b7d26",
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"metadata": {},
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"outputs": [],
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"source": [
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"import requests\n",
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"from bs4 import BeautifulSoup\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"import re\n",
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"import sys, getopt\n",
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"import csv\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "91897dbb",
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"metadata": {},
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"outputs": [],
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"source": [
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"res = requests.get('https://www.fantacalcio.it/probabili-formazioni-serie-a')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "7ba89027",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>player</th>\n",
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" <th>starter</th>\n",
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" <th>percentage</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>Tatarusanu</td>\n",
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" <td>1</td>\n",
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" <td>90.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Thiaw</td>\n",
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" <td>1</td>\n",
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" <td>65.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Kjaer</td>\n",
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" <td>1</td>\n",
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" <td>85.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>Kalulu</td>\n",
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" <td>1</td>\n",
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" <td>90.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>Saelemaekers</td>\n",
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" <td>1</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>433</th>\n",
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" <td>Dumfries</td>\n",
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" <td>0</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>434</th>\n",
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" <td>Mkhitaryan</td>\n",
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" <td>0</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>435</th>\n",
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" <td>Asllani</td>\n",
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" <td>0</td>\n",
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" <td>30.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>436</th>\n",
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" <td>Gagliardini</td>\n",
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" <td>0</td>\n",
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" <td>50.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>437</th>\n",
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" <td>Lukaku</td>\n",
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" <td>0</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>438 rows × 3 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" player starter percentage\n",
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"0 Tatarusanu 1 90.0\n",
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"1 Thiaw 1 65.0\n",
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"2 Kjaer 1 85.0\n",
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"3 Kalulu 1 90.0\n",
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"4 Saelemaekers 1 60.0\n",
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".. ... ... ...\n",
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"433 Dumfries 0 60.0\n",
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"434 Mkhitaryan 0 55.0\n",
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"435 Asllani 0 30.0\n",
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"436 Gagliardini 0 50.0\n",
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"437 Lukaku 0 60.0\n",
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"\n",
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"[438 rows x 3 columns]"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"soup = BeautifulSoup(res.text)\n",
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"\n",
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"groups = soup.findAll('ul', attrs = {'class' : 'player-list'})\n",
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"\n",
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"probables = pd.DataFrame(columns = ['player', 'starter', 'percentage'])\n",
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"\n",
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"for i in range (len(groups)):\n",
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" players = groups[i].findAll('a', attrs = {'class' : 'player-name'})\n",
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" bars = groups[i].findAll('div', attrs = {'class' : 'progress-bar'})\n",
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" \n",
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" starter_string = groups[i]['class'][1]\n",
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" if(starter_string == 'starters'):\n",
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" starter = 1\n",
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" else:\n",
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" starter = 0\n",
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" \n",
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" for j in range(len(players)):\n",
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" player = players[j].contents[1].contents[0]\n",
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" perc = float(bars[j]['aria-valuenow'])\n",
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" \n",
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" row_df = pd.DataFrame([[player, starter, perc]], columns = probables.columns)\n",
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" \n",
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" probables = pd.concat([probables, row_df], ignore_index = True)\n",
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" \n",
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"probables "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "29e5b389",
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"metadata": {},
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"outputs": [],
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"source": [
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"probables = probables.set_index('player')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "d711726e",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>player1</th>\n",
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" <th>player2</th>\n",
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" <th>percentage</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>Saelemaekers</td>\n",
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" <td>Calabria</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Diaz B.</td>\n",
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" <td>De Ketelaere</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Thiaw</td>\n",
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" <td>Messias</td>\n",
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" <td>65.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>Singo</td>\n",
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" <td>Aina</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>Rodriguez R.</td>\n",
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" <td>Buongiorno</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>Akpa Akpro</td>\n",
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" <td>Haas</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>Satriano</td>\n",
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" <td>Piccoli</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>Ebuehi</td>\n",
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" <td>Stojanovic</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>Holm</td>\n",
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" <td>Ferrer</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td>Nzola</td>\n",
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" <td>Shomurodov</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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" <td>Agudelo</td>\n",
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" <td>Cipot</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>11</th>\n",
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" <td>Di Francesco F.</td>\n",
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" <td>Banda</td>\n",
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" <td>65.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>12</th>\n",
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" <td>Gallo</td>\n",
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" <td>Pezzella Giu.</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>13</th>\n",
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" <td>El Shaarawy</td>\n",
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" <td>Celik</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>14</th>\n",
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" <td>Matic</td>\n",
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" <td>Bove</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>15</th>\n",
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" <td>Cataldi</td>\n",
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" <td>Vecino</td>\n",
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" <td>65.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>16</th>\n",
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" <td>Lazzari</td>\n",
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" <td>Hysaj</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>17</th>\n",
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" <td>Boga</td>\n",
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" <td>Ederson D.s.</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>18</th>\n",
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" <td>Hojlund</td>\n",
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" <td>Zapata D.</td>\n",
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" <td>65.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>19</th>\n",
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" <td>Djimsiti</td>\n",
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" <td>Demiral</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>20</th>\n",
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" <td>Thauvin</td>\n",
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" <td>Success</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>21</th>\n",
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" <td>Arslan</td>\n",
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" <td>Lovric</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>22</th>\n",
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" <td>Bajrami</td>\n",
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" <td>Thorstvedt</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>23</th>\n",
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" <td>Ruan</td>\n",
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" <td>Ferrari G.</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>24</th>\n",
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" <td>Lopez M.</td>\n",
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" <td>Obiang</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>25</th>\n",
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" <td>Zirkzee</td>\n",
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" <td>Barrow</td>\n",
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" <td>65.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>26</th>\n",
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" <td>Cambiaso</td>\n",
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" <td>Lykogiannis</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>27</th>\n",
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" <td>Soriano</td>\n",
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" <td>Aebischer</td>\n",
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" <td>65.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>28</th>\n",
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" <td>Marlon</td>\n",
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" <td>Caldirola</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>29</th>\n",
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" <td>Petagna</td>\n",
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" <td>Mota</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>30</th>\n",
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" <td>Sensi</td>\n",
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" <td>Machin</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>31</th>\n",
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" <td>De Sciglio</td>\n",
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" <td>Chiesa</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>32</th>\n",
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" <td>Brekalo</td>\n",
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" <td>Saponara</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>33</th>\n",
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" <td>Brekalo</td>\n",
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" <td>Ikone'</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>34</th>\n",
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" <td>Jovic</td>\n",
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" <td>Cabral</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>35</th>\n",
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" <td>Barak</td>\n",
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" <td>Duncan</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>36</th>\n",
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" <td>Lozano</td>\n",
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" <td>Elmas</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>37</th>\n",
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" <td>Lozano</td>\n",
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" <td>Politano</td>\n",
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" <td>55.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>38</th>\n",
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" <td>Mario Rui</td>\n",
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" <td>Olivera</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>39</th>\n",
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" <td>Buonaiuto</td>\n",
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" <td>Afena-Gyan</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>40</th>\n",
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" <td>Benassi</td>\n",
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" <td>Castagnetti</td>\n",
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" <td>60.0</td>\n",
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" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>41</th>\n",
|
||
" <td>Ceccherini</td>\n",
|
||
" <td>Coppola D.</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>42</th>\n",
|
||
" <td>Magnani</td>\n",
|
||
" <td>Dawidowicz</td>\n",
|
||
" <td>55.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>43</th>\n",
|
||
" <td>Ngonge</td>\n",
|
||
" <td>Gaich</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>44</th>\n",
|
||
" <td>Bronn</td>\n",
|
||
" <td>Daniliuc</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>45</th>\n",
|
||
" <td>Lovato</td>\n",
|
||
" <td>Sambia</td>\n",
|
||
" <td>55.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>46</th>\n",
|
||
" <td>Bohinen</td>\n",
|
||
" <td>Nicolussi Caviglia</td>\n",
|
||
" <td>55.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>47</th>\n",
|
||
" <td>Djuricic</td>\n",
|
||
" <td>Sabiri</td>\n",
|
||
" <td>65.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48</th>\n",
|
||
" <td>Murru</td>\n",
|
||
" <td>Murillo</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>49</th>\n",
|
||
" <td>Rincon</td>\n",
|
||
" <td>Cuisance</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>50</th>\n",
|
||
" <td>Brozovic</td>\n",
|
||
" <td>Mkhitaryan</td>\n",
|
||
" <td>55.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>51</th>\n",
|
||
" <td>Dzeko</td>\n",
|
||
" <td>Lukaku</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>52</th>\n",
|
||
" <td>Darmian</td>\n",
|
||
" <td>Dumfries</td>\n",
|
||
" <td>55.0</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" player1 player2 percentage\n",
|
||
"0 Saelemaekers Calabria 60.0\n",
|
||
"1 Diaz B. De Ketelaere 60.0\n",
|
||
"2 Thiaw Messias 65.0\n",
|
||
"3 Singo Aina 55.0\n",
|
||
"4 Rodriguez R. Buongiorno 55.0\n",
|
||
"5 Akpa Akpro Haas 60.0\n",
|
||
"6 Satriano Piccoli 60.0\n",
|
||
"7 Ebuehi Stojanovic 60.0\n",
|
||
"8 Holm Ferrer 55.0\n",
|
||
"9 Nzola Shomurodov 55.0\n",
|
||
"10 Agudelo Cipot 60.0\n",
|
||
"11 Di Francesco F. Banda 65.0\n",
|
||
"12 Gallo Pezzella Giu. 60.0\n",
|
||
"13 El Shaarawy Celik 60.0\n",
|
||
"14 Matic Bove 60.0\n",
|
||
"15 Cataldi Vecino 65.0\n",
|
||
"16 Lazzari Hysaj 55.0\n",
|
||
"17 Boga Ederson D.s. 55.0\n",
|
||
"18 Hojlund Zapata D. 65.0\n",
|
||
"19 Djimsiti Demiral 60.0\n",
|
||
"20 Thauvin Success 55.0\n",
|
||
"21 Arslan Lovric 60.0\n",
|
||
"22 Bajrami Thorstvedt 55.0\n",
|
||
"23 Ruan Ferrari G. 60.0\n",
|
||
"24 Lopez M. Obiang 55.0\n",
|
||
"25 Zirkzee Barrow 65.0\n",
|
||
"26 Cambiaso Lykogiannis 55.0\n",
|
||
"27 Soriano Aebischer 65.0\n",
|
||
"28 Marlon Caldirola 55.0\n",
|
||
"29 Petagna Mota 60.0\n",
|
||
"30 Sensi Machin 55.0\n",
|
||
"31 De Sciglio Chiesa 60.0\n",
|
||
"32 Brekalo Saponara 55.0\n",
|
||
"33 Brekalo Ikone' 55.0\n",
|
||
"34 Jovic Cabral 60.0\n",
|
||
"35 Barak Duncan 60.0\n",
|
||
"36 Lozano Elmas 55.0\n",
|
||
"37 Lozano Politano 55.0\n",
|
||
"38 Mario Rui Olivera 60.0\n",
|
||
"39 Buonaiuto Afena-Gyan 60.0\n",
|
||
"40 Benassi Castagnetti 60.0\n",
|
||
"41 Ceccherini Coppola D. 60.0\n",
|
||
"42 Magnani Dawidowicz 55.0\n",
|
||
"43 Ngonge Gaich 60.0\n",
|
||
"44 Bronn Daniliuc 60.0\n",
|
||
"45 Lovato Sambia 55.0\n",
|
||
"46 Bohinen Nicolussi Caviglia 55.0\n",
|
||
"47 Djuricic Sabiri 65.0\n",
|
||
"48 Murru Murillo 60.0\n",
|
||
"49 Rincon Cuisance 60.0\n",
|
||
"50 Brozovic Mkhitaryan 55.0\n",
|
||
"51 Dzeko Lukaku 60.0\n",
|
||
"52 Darmian Dumfries 55.0"
|
||
]
|
||
},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"groups = soup.findAll('ul', attrs = {'class' : 'ballot-list'})\n",
|
||
"\n",
|
||
"ballots = pd.DataFrame(columns = ['player1', 'player2', 'percentage'])\n",
|
||
"for i in range (len(groups)):\n",
|
||
" players = groups[i].findAll('a', attrs = {'class' : 'player-name'})\n",
|
||
" percs = groups[i].findAll('strong', attrs = {'class' : 'percentage'})\n",
|
||
" \n",
|
||
" player1 = players[0].contents[1].contents[0]\n",
|
||
" player2 = players[1].contents[1].contents[0]\n",
|
||
" perc = float(percs[0].contents[0].replace('%', ''))\n",
|
||
" \n",
|
||
" row_df = pd.DataFrame([[player1, player2, perc]], columns = ballots.columns)\n",
|
||
" \n",
|
||
" ballots = pd.concat([ballots, row_df], ignore_index = True)\n",
|
||
" \n",
|
||
"ballots"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"id": "0171c61d",
|
||
"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>starter</th>\n",
|
||
" <th>percentage</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>player</th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>Tatarusanu</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>90.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Thiaw</th>\n",
|
||
" <td>0.65</td>\n",
|
||
" <td>65.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Kjaer</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>85.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Kalulu</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>90.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Saelemaekers</th>\n",
|
||
" <td>0.6</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Dumfries</th>\n",
|
||
" <td>0.45</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Mkhitaryan</th>\n",
|
||
" <td>0.45</td>\n",
|
||
" <td>55.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Asllani</th>\n",
|
||
" <td>0</td>\n",
|
||
" <td>30.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Gagliardini</th>\n",
|
||
" <td>0</td>\n",
|
||
" <td>50.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Lukaku</th>\n",
|
||
" <td>0.4</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>438 rows × 2 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" starter percentage\n",
|
||
"player \n",
|
||
"Tatarusanu 1 90.0\n",
|
||
"Thiaw 0.65 65.0\n",
|
||
"Kjaer 1 85.0\n",
|
||
"Kalulu 1 90.0\n",
|
||
"Saelemaekers 0.6 60.0\n",
|
||
"... ... ...\n",
|
||
"Dumfries 0.45 60.0\n",
|
||
"Mkhitaryan 0.45 55.0\n",
|
||
"Asllani 0 30.0\n",
|
||
"Gagliardini 0 50.0\n",
|
||
"Lukaku 0.4 60.0\n",
|
||
"\n",
|
||
"[438 rows x 2 columns]"
|
||
]
|
||
},
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"for i in range(ballots.shape[0]):\n",
|
||
" p1 = ballots['player1'][i]\n",
|
||
" p2 = ballots['player2'][i]\n",
|
||
" \n",
|
||
" perc = float(ballots['percentage'][i])\n",
|
||
" \n",
|
||
" probables.at[p1, 'starter'] = perc/100\n",
|
||
" probables.at[p2, 'starter'] = 1 - perc/100\n",
|
||
" \n",
|
||
"probables"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"id": "8b5468aa",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"probables.to_excel('mid_outputs/match_probable_players.xlsx') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "62164549",
|
||
"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": "3.9.13"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|