Name: Indian Premier League 2021 Dataset
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Indian Premier League 2021 Dataset

Context

The IPL fever is on, so what better way to embrace it than unleashing out true nerd by analyzing this season's latest dataset. It contains the match descriptions, results, winners, player of the matches, ball by ball dataset and much more. So, stop thinking and start analyzing .

Content

This dataset consists of two seperate CSV files : matches and deliveries. These files contain the information of each match summary and ball by ball details, respectively.

Acknowledgements

Data Source: Cricsheet

Tables

Ipl Ball By Ball Dataset 2021

@kaggle.patrickb1912_indian_premier_league_2021_dataset.ipl_ball_by_ball_dataset_2021

40.86 kB
5,101 rows
18 columns

CREATE TABLE ipl_ball_by_ball_dataset_2021 (
  "id" BIGINT,
  "inning" BIGINT,
  "over" BIGINT,
  "ball" BIGINT,
  "batsman" VARCHAR,
  "non_striker" VARCHAR,
  "bowler" VARCHAR,
  "batsman_runs" BIGINT,
  "extra_runs" BIGINT,
  "total_runs" BIGINT,
  "non_boundary" BIGINT,
  "is_wicket" BIGINT,
  "dismissal_kind" VARCHAR,
  "player_dismissed" VARCHAR,
  "fielder" VARCHAR,
  "extras_type" VARCHAR,
  "batting_team" VARCHAR,
  "bowling_team" VARCHAR
);

Ipl Matches Dataset 2021

@kaggle.patrickb1912_indian_premier_league_2021_dataset.ipl_matches_dataset_2021

13.24 kB
21 rows
17 columns

CREATE TABLE ipl_matches_dataset_2021 (
  "id" BIGINT,
  "city" VARCHAR,
  "date" TIMESTAMP,
  "player_of_match" VARCHAR,
  "venue" VARCHAR,
  "neutral_venue" BIGINT,
  "team1" VARCHAR,
  "team2" VARCHAR,
  "toss_winner" VARCHAR,
  "toss_decision" VARCHAR,
  "winner" VARCHAR,
  "result" VARCHAR,
  "result_margin" DOUBLE,
  "eliminator" VARCHAR,
  "method" VARCHAR,
  "umpire1" VARCHAR,
  "umpire2" VARCHAR
);