Name: IPL 2008 To 2022 All Match Dataset
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

IPL 2008 To 2022 All Match Dataset

IPL 2022 Complete Dataset

About this Dataset

IPL is among the most famous cricket league with players coming from worldwide. What makes this series more competitive every year is the drama with every ball and hence this dataset is a complete dataset showing match information and also data for each delivery.

The file IPL_Matches_2008_2021.csv contains all details of the match: Venue of the match, Toss Decision, Match Winer, Man of the Match, Squads, etc.
The file IPL_Ball_by_Ball_2008_2021.csv contains ball by ball data of each and every match: Batsman on strike, Bowler, Extras, Runs, Wicket Ball, etc.

Other IPL Database

Interesting Task Ideas

What is the percentage of wins of each team?
Which venue results in a win for Batting first team and vice versa?
Who is the most consistent batsman and bowler in each team and also in the entire league?
Who wins the most player of the matches in the tournament?
Predict the winning team with the consistency of wins and ball deliveries?
Who is the most valuable player of every season?

Check my other datasets

Acknowledgements

Datasource: Cricsheet
Image Credits

Tables

Ipl Ball By Ball 2008–2022

@kaggle.vora1011_ipl_2008_to_2021_all_match_dataset.ipl_ball_by_ball_2008_2022

995.82 kB
225,954 rows
17 columns

CREATE TABLE ipl_ball_by_ball_2008_2022 (
  "id" BIGINT,
  "innings" BIGINT,
  "overs" BIGINT,
  "ballnumber" BIGINT,
  "batter" VARCHAR,
  "bowler" VARCHAR,
  "non_striker" VARCHAR,
  "extra_type" VARCHAR,
  "batsman_run" BIGINT,
  "extras_run" BIGINT,
  "total_run" BIGINT,
  "non_boundary" BIGINT,
  "iswicketdelivery" BIGINT,
  "player_out" VARCHAR,
  "kind" VARCHAR,
  "fielders_involved" VARCHAR,
  "battingteam" VARCHAR
);

Ipl Matches 2008–2022

@kaggle.vora1011_ipl_2008_to_2021_all_match_dataset.ipl_matches_2008_2022

110.52 kB
950 rows
20 columns

CREATE TABLE ipl_matches_2008_2022 (
  "id" BIGINT,
  "city" VARCHAR,
  "date" TIMESTAMP,
  "season" VARCHAR,
  "matchnumber" VARCHAR,
  "team1" VARCHAR,
  "team2" VARCHAR,
  "venue" VARCHAR,
  "tosswinner" VARCHAR,
  "tossdecision" VARCHAR,
  "superover" VARCHAR,
  "winningteam" VARCHAR,
  "wonby" VARCHAR,
  "margin" DOUBLE,
  "method" VARCHAR,
  "player_of_match" VARCHAR,
  "team1players" VARCHAR,
  "team2players" VARCHAR,
  "umpire1" VARCHAR,
  "umpire2" VARCHAR
);