Dataset: IPL Data From 2008-2019

About this Dataset

IPL Data From 2008-2019

Context

The Indian Premier League (IPL) is a professional Twenty20 cricket league in India hosted every year by eight teams representing eight different cities in India.The league was founded by the Board of Control for Cricket in India (BCCI) in 2008.

Content

In this dataset,you will find information about every match such as playing teams,outcomes,toss information,umpire,scores as well as ball-by-ball data for every match played between 2008 to 4 May 2019.

Acknowledgements

Thanks to Pydata Pune as this dataset resulted from one of thier meetup.I big thanks to them for providing raw data upon which I worked and did preprocessing.

Inspiration

Sports analytics has become a billion dollar industry since every team now wants to build a top class team for their next season.Hence,this type of data is quite useful for analyzing player as well as to predict future match outcomes.

Tables

Innings Data

@kaggle.divjain_ipl_data_till_2019.innings_data

757.16 KB
176573 rows
20 columns


CREATE TABLE innings_data (
  "id" BIGINT,
  "season" BIGINT,
  "batsman" VARCHAR,
  "bowler" VARCHAR,
  "innings" VARCHAR,
  "non_striker" VARCHAR,
  "replacements" VARCHAR,
  "bowled_over" DOUBLE,
  "batsman_team" VARCHAR,
  "player_out" VARCHAR,
  "fielder_caught_out" VARCHAR,
  "type_out" VARCHAR,
  "extras_wides" BIGINT,
  "extras_legbyes" BIGINT,
  "extras_noballs" BIGINT,
  "extras_byes" BIGINT,
  "extras_penalty" BIGINT,
  "total_extras_runs" BIGINT,
  "batsman_runs" BIGINT,
  "total_runs" BIGINT
);

Match Data

@kaggle.divjain_ipl_data_till_2019.match_data

41.04 KB
746 rows
24 columns


CREATE TABLE match_data (
  "id" BIGINT,
  "season" BIGINT,
  "city" VARCHAR,
  "date" TIMESTAMP,
  "team1" VARCHAR,
  "team2" VARCHAR,
  "toss_winner" VARCHAR,
  "toss_decision" VARCHAR,
  "winner" VARCHAR,
  "eliminator" VARCHAR,
  "dl_applied" VARCHAR,
  "win_by_runs" DOUBLE,
  "win_by_wickets" DOUBLE,
  "result" VARCHAR,
  "overs" BIGINT,
  "player_of_match" VARCHAR,
  "venue" VARCHAR,
  "umpire1" VARCHAR,
  "umpire2" VARCHAR,
  "umpire3" VARCHAR,
  "first_bat_team" VARCHAR,
  "first_bowl_team" VARCHAR,
  "first_bat_score" DOUBLE,
  "second_bat_score" DOUBLE
);