{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Virat vs Bumrah\n", "\n", "#### By: Jaikrishna Sharma\n", "### Data : https://cricsheet.org/" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Jaikrishna\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:6: FutureWarning: Passing a negative integer is deprecated in version 1.0 and will not be supported in future version. Instead, use None to not limit the column width.\n", " \n" ] } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "pd.set_option('display.max_rows', None)\n", "pd.set_option('display.max_columns', None) \n", "pd.set_option('display.expand_frame_repr', False)\n", "pd.set_option('max_colwidth', -1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Read CSV\n", "#### Dowload latest csv from https://cricsheet.org/ to get updated stats" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Jaikrishna\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3063: DtypeWarning: Columns (1) have mixed types.Specify dtype option on import or set low_memory=False.\n", " interactivity=interactivity, compiler=compiler, result=result)\n" ] } ], "source": [ "data=pd.read_csv('all_matches.csv')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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match_idseasonstart_datevenueinningsballbatting_teambowling_teamstrikernon_strikerbowlerruns_off_batextraswidesnoballsbyeslegbyespenaltywicket_typeplayer_dismissedother_wicket_typeother_player_dismissed
03359822007/082008-04-18M Chinnaswamy Stadium10.1Kolkata Knight RidersRoyal Challengers BangaloreSC GangulyBB McCullumP Kumar01NaNNaNNaN1.0NaNNaNNaNNaNNaN
13359822007/082008-04-18M Chinnaswamy Stadium10.2Kolkata Knight RidersRoyal Challengers BangaloreBB McCullumSC GangulyP Kumar00NaNNaNNaNNaNNaNNaNNaNNaNNaN
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" ], "text/plain": [ " match_id season start_date venue innings ball batting_team bowling_team striker non_striker bowler runs_off_bat extras wides noballs byes legbyes penalty wicket_type player_dismissed other_wicket_type other_player_dismissed\n", "0 335982 2007/08 2008-04-18 M Chinnaswamy Stadium 1 0.1 Kolkata Knight Riders Royal Challengers Bangalore SC Ganguly BB McCullum P Kumar 0 1 NaN NaN NaN 1.0 NaN NaN NaN NaN NaN \n", "1 335982 2007/08 2008-04-18 M Chinnaswamy Stadium 1 0.2 Kolkata Knight Riders Royal Challengers Bangalore BB McCullum SC Ganguly P Kumar 0 0 NaN NaN NaN NaN NaN NaN NaN NaN NaN " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.head(2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Compare Virat vs Bumrah\n", "#### Data where the Batsman is Virat and Bowler is Bumrah" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "kohli_bumrah=data[(data['striker']=='V Kohli')&(data['bowler']=='JJ Bumrah')]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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match_idseasonstart_datevenueinningsballbatting_teambowling_teamstrikernon_strikerbowlerruns_off_batextraswidesnoballsbyeslegbyespenaltywicket_typeplayer_dismissedother_wicket_typeother_player_dismissed
7663759799920132013-04-04M Chinnaswamy Stadium14.1Royal Challengers BangaloreMumbai IndiansV KohliCH GayleJJ Bumrah40NaNNaNNaNNaNNaNNaNNaNNaNNaN
7663859799920132013-04-04M Chinnaswamy Stadium14.2Royal Challengers BangaloreMumbai IndiansV KohliCH GayleJJ Bumrah40NaNNaNNaNNaNNaNNaNNaNNaNNaN
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" ], "text/plain": [ " match_id season start_date venue innings ball batting_team bowling_team striker non_striker bowler runs_off_bat extras wides noballs byes legbyes penalty wicket_type player_dismissed other_wicket_type other_player_dismissed\n", "76637 597999 2013 2013-04-04 M Chinnaswamy Stadium 1 4.1 Royal Challengers Bangalore Mumbai Indians V Kohli CH Gayle JJ Bumrah 4 0 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", "76638 597999 2013 2013-04-04 M Chinnaswamy Stadium 1 4.2 Royal Challengers Bangalore Mumbai Indians V Kohli CH Gayle JJ Bumrah 4 0 NaN NaN NaN NaN NaN NaN NaN NaN NaN " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohli_bumrah.head(2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## To check how many times Bumrah dismissed Virat\n", "#### Note: wicket type should not be run out Because it does not go into the account of the bowler" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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match_idseasonstart_datevenueinningsballbatting_teambowling_teamstrikernon_strikerbowlerruns_off_batextraswidesnoballsbyeslegbyespenaltywicket_typeplayer_dismissedother_wicket_typeother_player_dismissed
7664159799920132013-04-04M Chinnaswamy Stadium14.5Royal Challengers BangaloreMumbai IndiansV KohliCH GayleJJ Bumrah00NaNNaNNaNNaNNaNlbwV KohliNaNNaN
152118117536220192019-03-28M.Chinnaswamy Stadium213.4Royal Challengers BangaloreMumbai IndiansV KohliAB de VilliersJJ Bumrah00NaNNaNNaNNaNNaNcaughtV KohliNaNNaN
\n", "
" ], "text/plain": [ " match_id season start_date venue innings ball batting_team bowling_team striker non_striker bowler runs_off_bat extras wides noballs byes legbyes penalty wicket_type player_dismissed other_wicket_type other_player_dismissed\n", "76641 597999 2013 2013-04-04 M Chinnaswamy Stadium 1 4.5 Royal Challengers Bangalore Mumbai Indians V Kohli CH Gayle JJ Bumrah 0 0 NaN NaN NaN NaN NaN lbw V Kohli NaN NaN \n", "152118 1175362 2019 2019-03-28 M.Chinnaswamy Stadium 2 13.4 Royal Challengers Bangalore Mumbai Indians V Kohli AB de Villiers JJ Bumrah 0 0 NaN NaN NaN NaN NaN caught V Kohli NaN NaN " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohli_bumrah[(kohli_bumrah['wicket_type']!='run out')&(kohli_bumrah['player_dismissed']=='V Kohli')].head(2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Score card Virat vs Bumrah\n", "\n", "Step1: Total No. of Runs Scored\n", "\n", "Step2: Balls Played\n", "\n", "Step3: Strike Rate\n", "\n", "Step4: Narine dismissed Rohit\n", "\n", "Step5: No. of sixes\n", "\n", "Step6: No. of Fours\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "kohlivs_bum_sc=pd.DataFrame(kohli_bumrah.groupby('striker')['runs_off_bat'].sum()).reset_index()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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strikerruns_off_bat
0V Kohli120
\n", "
" ], "text/plain": [ " striker runs_off_bat\n", "0 V Kohli 120 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohlivs_bum_sc" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "kohlivs_bum_sc['balls']=kohli_bumrah[(kohli_bumrah['wides'].isnull()==True)]['ball'].count()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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strikerruns_off_batballs
0V Kohli12082
\n", "
" ], "text/plain": [ " striker runs_off_bat balls\n", "0 V Kohli 120 82 " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohlivs_bum_sc" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "kohlivs_bum_sc['SR']=100*kohlivs_bum_sc['runs_off_bat']/kohlivs_bum_sc['balls']" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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strikerruns_off_batballsSR
0V Kohli12082146.341463
\n", "
" ], "text/plain": [ " striker runs_off_bat balls SR\n", "0 V Kohli 120 82 146.341463" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohlivs_bum_sc" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "kohlivs_bum_sc['Out']=kohli_bumrah[(kohli_bumrah['wicket_type']!='run out')&(kohli_bumrah['player_dismissed']=='V Kohli')]['ball'].count()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "kohlivs_bum_sc['Six']=kohli_bumrah[(kohli_bumrah['runs_off_bat']==6)]['ball'].count()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "kohlivs_bum_sc['Four']=kohli_bumrah[(kohli_bumrah['runs_off_bat']==4)]['ball'].count()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "kohlivs_bum_sc['bowler']='JJ Bumrah'" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "kohlivs_bum_sc['Bowling SR']=kohlivs_bum_sc['balls']/kohlivs_bum_sc['Out']" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "kohlivs_bum_sc['Eco']=6*kohlivs_bum_sc['runs_off_bat']/kohlivs_bum_sc['balls']" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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0
strikerV Kohli
runs_off_bat120
balls82
SR146.341
Out4
Six4
Four14
bowlerJJ Bumrah
Bowling SR20.5
Eco8.78049
\n", "
" ], "text/plain": [ " 0\n", "striker V Kohli \n", "runs_off_bat 120 \n", "balls 82 \n", "SR 146.341 \n", "Out 4 \n", "Six 4 \n", "Four 14 \n", "bowler JJ Bumrah\n", "Bowling SR 20.5 \n", "Eco 8.78049 " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohlivs_bum_sc.T" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Virat Kohli against the bowlers" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers=data[(data['striker']=='V Kohli')]" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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match_idseasonstart_datevenueinningsballbatting_teambowling_teamstrikernon_strikerbowlerruns_off_batextraswidesnoballsbyeslegbyespenaltywicket_typeplayer_dismissedother_wicket_typeother_player_dismissed
1323359822007/082008-04-18M Chinnaswamy Stadium21.2Royal Challengers BangaloreKolkata Knight RidersV KohliW JafferI Sharma00NaNNaNNaNNaNNaNNaNNaNNaNNaN
1333359822007/082008-04-18M Chinnaswamy Stadium21.3Royal Challengers BangaloreKolkata Knight RidersV KohliW JafferI Sharma04NaNNaNNaN4.0NaNNaNNaNNaNNaN
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" ], "text/plain": [ " match_id season start_date venue innings ball batting_team bowling_team striker non_striker bowler runs_off_bat extras wides noballs byes legbyes penalty wicket_type player_dismissed other_wicket_type other_player_dismissed\n", "132 335982 2007/08 2008-04-18 M Chinnaswamy Stadium 2 1.2 Royal Challengers Bangalore Kolkata Knight Riders V Kohli W Jaffer I Sharma 0 0 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", "133 335982 2007/08 2008-04-18 M Chinnaswamy Stadium 2 1.3 Royal Challengers Bangalore Kolkata Knight Riders V Kohli W Jaffer I Sharma 0 4 NaN NaN NaN 4.0 NaN NaN NaN NaN NaN " ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohli_bowlers.head(2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Total Runs scored by Virat against every bowler in IPL" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc=pd.DataFrame(kohli_bowlers.groupby(['bowler','bowling_team'])['runs_off_bat'].sum()).reset_index()" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc=kohli_bowlers_sc.sort_values('runs_off_bat',ascending=False)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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bowlerbowling_teamruns_off_bat
142JJ BumrahMumbai Indians120
242R AshwinChennai Super Kings115
331UT YadavDelhi Daredevils105
308SP NarineKolkata Knight Riders99
79DJ BravoChennai Super Kings87
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" ], "text/plain": [ " bowler bowling_team runs_off_bat\n", "142 JJ Bumrah Mumbai Indians 120 \n", "242 R Ashwin Chennai Super Kings 115 \n", "331 UT Yadav Delhi Daredevils 105 \n", "308 SP Narine Kolkata Knight Riders 99 \n", "79 DJ Bravo Chennai Super Kings 87 " ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohli_bowlers_sc.head(5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Total No. of balls played against every bowler \n", "#### Do not count wides, but you can count noballs" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "kohli_balls_played=pd.DataFrame(kohli_bowlers[(kohli_bowlers['wides'].isnull()==True)].groupby(['bowler','bowling_team'])['ball'].count()).reset_index()" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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bowlerbowling_teamball
0A Ashish ReddyDeccan Chargers15
1A Ashish ReddySunrisers Hyderabad11
2A ChandilaRajasthan Royals15
3A FlintoffChennai Super Kings4
4A MishraDeccan Chargers31
\n", "
" ], "text/plain": [ " bowler bowling_team ball\n", "0 A Ashish Reddy Deccan Chargers 15 \n", "1 A Ashish Reddy Sunrisers Hyderabad 11 \n", "2 A Chandila Rajasthan Royals 15 \n", "3 A Flintoff Chennai Super Kings 4 \n", "4 A Mishra Deccan Chargers 31 " ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohli_balls_played.head(5)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc=kohli_bowlers_sc.merge(kohli_balls_played,how='left',on=['bowler','bowling_team'])" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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bowlerbowling_teamruns_off_batball
0JJ BumrahMumbai Indians12082
1R AshwinChennai Super Kings11583
2UT YadavDelhi Daredevils10553
3SP NarineKolkata Knight Riders9994
4DJ BravoChennai Super Kings8762
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" ], "text/plain": [ " bowler bowling_team runs_off_bat ball\n", "0 JJ Bumrah Mumbai Indians 120 82 \n", "1 R Ashwin Chennai Super Kings 115 83 \n", "2 UT Yadav Delhi Daredevils 105 53 \n", "3 SP Narine Kolkata Knight Riders 99 94 \n", "4 DJ Bravo Chennai Super Kings 87 62 " ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohli_bowlers_sc.head(5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Calcuating Strike Rate" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc['SR']=100*kohli_bowlers_sc['runs_off_bat']/kohli_bowlers_sc['ball']" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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bowlerbowling_teamruns_off_batballSR
0JJ BumrahMumbai Indians12082146.341463
1R AshwinChennai Super Kings11583138.554217
2UT YadavDelhi Daredevils10553198.113208
3SP NarineKolkata Knight Riders9994105.319149
4DJ BravoChennai Super Kings8762140.322581
\n", "
" ], "text/plain": [ " bowler bowling_team runs_off_bat ball SR\n", "0 JJ Bumrah Mumbai Indians 120 82 146.341463\n", "1 R Ashwin Chennai Super Kings 115 83 138.554217\n", "2 UT Yadav Delhi Daredevils 105 53 198.113208\n", "3 SP Narine Kolkata Knight Riders 99 94 105.319149\n", "4 DJ Bravo Chennai Super Kings 87 62 140.322581" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohli_bowlers_sc.head(5)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "kohlli_6=pd.DataFrame(kohli_bowlers[(kohli_bowlers['runs_off_bat']==6)].groupby(['bowler','bowling_team'])['ball'].count()).reset_index()" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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bowlerbowling_teamball
0A Ashish ReddyDeccan Chargers1
1A MishraDeccan Chargers4
2A MishraDelhi Daredevils2
3A MishraSunrisers Hyderabad2
4A NehraChennai Super Kings2
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" ], "text/plain": [ " bowler bowling_team ball\n", "0 A Ashish Reddy Deccan Chargers 1 \n", "1 A Mishra Deccan Chargers 4 \n", "2 A Mishra Delhi Daredevils 2 \n", "3 A Mishra Sunrisers Hyderabad 2 \n", "4 A Nehra Chennai Super Kings 2 " ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohlli_6.head(5)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc=kohli_bowlers_sc.merge(kohlli_6,how='left',on=['bowler','bowling_team'])" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc.rename(columns={'ball_x':'balls','ball_y':'Sixes'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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bowlerbowling_teamruns_off_batballsSRSixes
0JJ BumrahMumbai Indians12082146.3414634.0
1R AshwinChennai Super Kings11583138.5542176.0
2UT YadavDelhi Daredevils10553198.1132086.0
3SP NarineKolkata Knight Riders9994105.3191491.0
4DJ BravoChennai Super Kings8762140.3225812.0
\n", "
" ], "text/plain": [ " bowler bowling_team runs_off_bat balls SR Sixes\n", "0 JJ Bumrah Mumbai Indians 120 82 146.341463 4.0 \n", "1 R Ashwin Chennai Super Kings 115 83 138.554217 6.0 \n", "2 UT Yadav Delhi Daredevils 105 53 198.113208 6.0 \n", "3 SP Narine Kolkata Knight Riders 99 94 105.319149 1.0 \n", "4 DJ Bravo Chennai Super Kings 87 62 140.322581 2.0 " ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohli_bowlers_sc.head(5)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "kohlli_4=pd.DataFrame(kohli_bowlers[(kohli_bowlers['runs_off_bat']==4)].groupby(['bowler','bowling_team'])['ball'].count()).reset_index()" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "kohlli_4.rename(columns={'ball':'Fours'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
bowlerbowling_teamFours
0A Ashish ReddyDeccan Chargers2
1A Ashish ReddySunrisers Hyderabad2
2A ChandilaRajasthan Royals1
3A MishraDeccan Chargers2
4A MishraDelhi Daredevils8
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" ], "text/plain": [ " bowler bowling_team Fours\n", "0 A Ashish Reddy Deccan Chargers 2 \n", "1 A Ashish Reddy Sunrisers Hyderabad 2 \n", "2 A Chandila Rajasthan Royals 1 \n", "3 A Mishra Deccan Chargers 2 \n", "4 A Mishra Delhi Daredevils 8 " ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohlli_4.head(5)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc=kohli_bowlers_sc.merge(kohlli_4,how='left',on=['bowler','bowling_team'])" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "kohlli_wkts=pd.DataFrame(kohli_bowlers[(kohli_bowlers['wicket_type']!='run out')&(kohli_bowlers['player_dismissed']=='V Kohli')].groupby(['bowler','bowling_team'])['ball'].count()).reset_index()" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
bowlerbowling_teamball
0A Ashish ReddyDeccan Chargers1
1A Ashish ReddySunrisers Hyderabad1
2A MishraDeccan Chargers1
3A MishraDelhi Daredevils1
4A NehraChennai Super Kings3
\n", "
" ], "text/plain": [ " bowler bowling_team ball\n", "0 A Ashish Reddy Deccan Chargers 1 \n", "1 A Ashish Reddy Sunrisers Hyderabad 1 \n", "2 A Mishra Deccan Chargers 1 \n", "3 A Mishra Delhi Daredevils 1 \n", "4 A Nehra Chennai Super Kings 3 " ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohlli_wkts.head(5)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [], "source": [ "kohlli_wkts.rename(columns={'ball':'Out'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc=kohli_bowlers_sc.merge(kohlli_wkts,how='left',on=['bowler','bowling_team'])" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc.fillna(0,inplace=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Scorecard of Virat Kohli against Bolwers" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "kohli_bowlers_sc=kohli_bowlers_sc[(kohli_bowlers_sc['runs_off_bat']>30)]" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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bowlerbowling_teamruns_off_batballsSRSixesFoursOut
0JJ BumrahMumbai Indians12082146.3414634.014.04.0
1R AshwinChennai Super Kings11583138.5542176.09.00.0
2UT YadavDelhi Daredevils10553198.1132086.010.01.0
3SP NarineKolkata Knight Riders9994105.3191491.09.02.0
4DJ BravoChennai Super Kings8762140.3225812.09.00.0
\n", "
" ], "text/plain": [ " bowler bowling_team runs_off_bat balls SR Sixes Fours Out\n", "0 JJ Bumrah Mumbai Indians 120 82 146.341463 4.0 14.0 4.0\n", "1 R Ashwin Chennai Super Kings 115 83 138.554217 6.0 9.0 0.0\n", "2 UT Yadav Delhi Daredevils 105 53 198.113208 6.0 10.0 1.0\n", "3 SP Narine Kolkata Knight Riders 99 94 105.319149 1.0 9.0 2.0\n", "4 DJ Bravo Chennai Super Kings 87 62 140.322581 2.0 9.0 0.0" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kohli_bowlers_sc.head(5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Bumrah vs Batsman" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "bumrah_df=data[(data['bowler']=='JJ Bumrah')]" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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match_idseasonstart_datevenueinningsballbatting_teambowling_teamstrikernon_strikerbowlerruns_off_batextraswidesnoballsbyeslegbyespenaltywicket_typeplayer_dismissedother_wicket_typeother_player_dismissed
7663759799920132013-04-04M Chinnaswamy Stadium14.1Royal Challengers BangaloreMumbai IndiansV KohliCH GayleJJ Bumrah40NaNNaNNaNNaNNaNNaNNaNNaNNaN
7663859799920132013-04-04M Chinnaswamy Stadium14.2Royal Challengers BangaloreMumbai IndiansV KohliCH GayleJJ Bumrah40NaNNaNNaNNaNNaNNaNNaNNaNNaN
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" ], "text/plain": [ " match_id season start_date venue innings ball batting_team bowling_team striker non_striker bowler runs_off_bat extras wides noballs byes legbyes penalty wicket_type player_dismissed other_wicket_type other_player_dismissed\n", "76637 597999 2013 2013-04-04 M Chinnaswamy Stadium 1 4.1 Royal Challengers Bangalore Mumbai Indians V Kohli CH Gayle JJ Bumrah 4 0 NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", "76638 597999 2013 2013-04-04 M Chinnaswamy Stadium 1 4.2 Royal Challengers Bangalore Mumbai Indians V Kohli CH Gayle JJ Bumrah 4 0 NaN NaN NaN NaN NaN NaN NaN NaN NaN " ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bumrah_df.head(2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### How many times Bumrah dismissed a batsman?\n", "#### Note:run out is not considered as bowler's wicket" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [], "source": [ "bumrah_sc = pd.DataFrame(bumrah_df[(bumrah_df['wicket_type']!='run out')&(bumrah_df['wicket_type'].isnull()==False)].groupby('striker')['ball'].count()).reset_index()" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "bumrah_sc=bumrah_sc.sort_values('ball',ascending=False)" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [], "source": [ "bumrah_sc=bumrah_sc.rename(columns={'ball':'Out'})" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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strikerOut
52RR Pant6
72V Kohli4
16DJ Bravo4
24GJ Maxwell4
42MS Dhoni3
\n", "
" ], "text/plain": [ " striker Out\n", "52 RR Pant 6 \n", "72 V Kohli 4 \n", "16 DJ Bravo 4 \n", "24 GJ Maxwell 4 \n", "42 MS Dhoni 3 " ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bumrah_sc.head(5)" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [], "source": [ "bumrah_runs= pd.DataFrame(bumrah_df.groupby('striker')['runs_off_bat'].sum()).reset_index()" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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strikerruns_off_bat
0A Mishra1
1AB de Villiers120
2AD Nath4
3AD Russell51
4AJ Finch25
\n", "
" ], "text/plain": [ " striker runs_off_bat\n", "0 A Mishra 1 \n", "1 AB de Villiers 120 \n", "2 AD Nath 4 \n", "3 AD Russell 51 \n", "4 AJ Finch 25 " ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bumrah_runs.head(5)" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [], "source": [ "bumrah_sc=bumrah_sc.merge(bumrah_runs,how='left',on='striker')" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
strikerOutruns_off_bat
0RR Pant636
1V Kohli4120
2DJ Bravo434
3GJ Maxwell439
4MS Dhoni356
\n", "
" ], "text/plain": [ " striker Out runs_off_bat\n", "0 RR Pant 6 36 \n", "1 V Kohli 4 120 \n", "2 DJ Bravo 4 34 \n", "3 GJ Maxwell 4 39 \n", "4 MS Dhoni 3 56 " ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bumrah_sc.head(5)" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['match_id', 'season', 'start_date', 'venue', 'innings', 'ball',\n", " 'batting_team', 'bowling_team', 'striker', 'non_striker', 'bowler',\n", " 'runs_off_bat', 'extras', 'wides', 'noballs', 'byes', 'legbyes',\n", " 'penalty', 'wicket_type', 'player_dismissed', 'other_wicket_type',\n", " 'other_player_dismissed'],\n", " dtype='object')" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bumrah_df.columns" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [], "source": [ "bumrah_balls= pd.DataFrame(bumrah_df[(bumrah_df['wides'].isnull()==True)&(bumrah_df['noballs'].isnull()==True)].groupby('striker')['ball'].count()).reset_index()" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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strikerball
0A Mishra5
1AB de Villiers82
\n", "
" ], "text/plain": [ " striker ball\n", "0 A Mishra 5 \n", "1 AB de Villiers 82 " ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bumrah_balls.head(2)" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [], "source": [ "bumrah_sc=bumrah_sc.merge(bumrah_balls,how='left',on='striker')" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
strikerOutruns_off_batball
0RR Pant63636
1V Kohli412082
\n", "
" ], "text/plain": [ " striker Out runs_off_bat ball\n", "0 RR Pant 6 36 36 \n", "1 V Kohli 4 120 82 " ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bumrah_sc.head(2)" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [], "source": [ "bumrah_sc['Bowling SR']=bumrah_sc['ball']/bumrah_sc['Out']" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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strikerOutruns_off_batballBowling SR
0RR Pant636366.000000
1V Kohli41208220.500000
2DJ Bravo434225.500000
3GJ Maxwell439328.000000
4MS Dhoni3565518.333333
\n", "
" ], "text/plain": [ " striker Out runs_off_bat ball Bowling SR\n", "0 RR Pant 6 36 36 6.000000 \n", "1 V Kohli 4 120 82 20.500000 \n", "2 DJ Bravo 4 34 22 5.500000 \n", "3 GJ Maxwell 4 39 32 8.000000 \n", "4 MS Dhoni 3 56 55 18.333333 " ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bumrah_sc.head(5)" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [], "source": [ "bumrah_sc['Eco']=6*bumrah_sc['runs_off_bat']/bumrah_sc['ball']" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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strikerOutruns_off_batballBowling SREco
0RR Pant636366.0000006.000000
1V Kohli41208220.5000008.780488
2DJ Bravo434225.5000009.272727
3GJ Maxwell439328.0000007.312500
4MS Dhoni3565518.3333336.109091
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" ], "text/plain": [ " striker Out runs_off_bat ball Bowling SR Eco\n", "0 RR Pant 6 36 36 6.000000 6.000000\n", "1 V Kohli 4 120 82 20.500000 8.780488\n", "2 DJ Bravo 4 34 22 5.500000 9.272727\n", "3 GJ Maxwell 4 39 32 8.000000 7.312500\n", "4 MS Dhoni 3 56 55 18.333333 6.109091" ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bumrah_sc.head(5)" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [], "source": [ "bumrah_6s = pd.DataFrame(bumrah_df[(bumrah_df['runs_off_bat']==6)].groupby('striker')['ball'].count()).reset_index()" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [], "source": [ "bumrah_6s.rename(columns={'ball':'Sixes'},inplace=True)" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [], "source": [ "bumrah_sc=bumrah_sc.merge(bumrah_6s,how='left',on='striker')" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [], "source": [ "bumrah_sc.fillna(0,inplace=True)" ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [], "source": [ "bumrah_extra=pd.DataFrame(bumrah_df[(bumrah_df['wides'].isnull()==False)|(bumrah_df['noballs'].isnull()==False)].groupby('striker')['ball'].count()).reset_index()" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [], "source": [ "bumrah_extra=bumrah_extra.rename(columns={'ball':'extra_runs'})" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [], "source": [ "bumrah_sc=bumrah_sc.merge(bumrah_extra,how='left',on='striker')" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [], "source": [ "bumrah_sc['Total_Runs']=bumrah_sc['runs_off_bat']+bumrah_sc['extra_runs']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Bumrah against every Batsman" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [], "source": [ "bumrah_sc['Eco']=6*bumrah_sc['Total_Runs']/bumrah_sc['ball']" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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strikerOutruns_off_batballBowling SREcoSixesextra_runsTotal_Runs
0RR Pant636366.0000006.1666672.01.037.0
1V Kohli41208220.5000008.8536594.01.0121.0
2DJ Bravo434225.5000009.5454554.01.035.0
3GJ Maxwell439328.0000007.6875000.02.041.0
4MS Dhoni3565518.3333336.4363642.03.059.0
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{ "text": "Bowling Strike Rate and Economy by Bumrah in IPL" }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Bowling Strike Rate" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Eco" } } } }, "text/html": [ "
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"zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Sixes and Strike Rate by Virat Kohli in IPL" }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Strike Rate" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Sixes" } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize = (16, 8))\n", "fig = go.Figure(data=px.scatter(kohli_bowlers_sc,kohli_bowlers_sc['SR'],kohli_bowlers_sc['Sixes'],\n", " size='Out',text=\"bowler\",hover_data=['bowler','SR'],\n", " labels={\n", " \"runs_off_bat\": \"Runs scored\",\n", " \"SR\": \"Strike Rate\"\n", " },\n", " title='Sixes and Strike Rate by Virat Kohli in IPL'))\n", "fig.update_traces(textposition='top left')\n", "fig.add_vline(x=150, line_width=3, line_dash=\"dash\", line_color=\"green\")\n", "fig.add_hline(y=5)\n", "fig.show()\n", "# fig.write_html(\"Batsman with Healthy Strike Rate and Runs in Death Overs (2016 to May-2021).html\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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", "version": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 4 }