Dataset: Womens Premier League 2023 (WPL) Dataset

About this Dataset

Womens Premier League 2023 (WPL) Dataset

Match Summary: This CSV file contains a summary of all the matches played in the Women's Premier League (WPL) 2023. It includes information such as match dates, teams involved, scores, result (win/loss), and other key details of each match.

Batting Summary: This CSV file provides a comprehensive summary of the batting performance of players in the Women's Premier League (WPL) 2023. It includes data such as batting averages, strike rates, number of fours and sixes, and other relevant metrics for each player.

Bowling Summary: This CSV file presents a summary of the bowling performance of players in the Women's Premier League (WPL) 2023. It includes data such as bowling averages, economy rates, number of wickets taken, and other relevant metrics for each player.

Player Info: This CSV file provides comprehensive information about the players participating in the Women's Premier League (WPL) 2023. It includes details such as player names, teams, playing roles, and other relevant player information.

Tables

Batting Summary

@kaggle.adnansattikar_womenspremierleague2023.batting_summary

12.55 KB
336 rows
11 columns


CREATE TABLE batting_summary (
  "match" VARCHAR,
  "teaminnings" VARCHAR,
  "battingpos" BIGINT,
  "battername" VARCHAR,
  "runs" BIGINT,
  "balls" BIGINT,
  "n_4s" BIGINT,
  "n_6s" BIGINT,
  "sr" VARCHAR,
  "out_not_out" VARCHAR,
  "matchid" VARCHAR
);

Bowling Summary

@kaggle.adnansattikar_womenspremierleague2023.bowling_summary

13.31 KB
270 rows
14 columns


CREATE TABLE bowling_summary (
  "match" VARCHAR,
  "bowlingteam" VARCHAR,
  "bowlername" VARCHAR,
  "overs" DOUBLE,
  "maiden" BIGINT,
  "runs" BIGINT,
  "wickets" BIGINT,
  "economy" DOUBLE,
  "n_0s" BIGINT,
  "n_4s" BIGINT,
  "n_6s" BIGINT,
  "wides" BIGINT,
  "noballs" BIGINT,
  "matchid" VARCHAR
);

Match Summary

@kaggle.adnansattikar_womenspremierleague2023.match_summary

5.83 KB
22 rows
7 columns


CREATE TABLE match_summary (
  "team1" VARCHAR,
  "team2" VARCHAR,
  "winner" VARCHAR,
  "margin" VARCHAR,
  "ground" VARCHAR,
  "matchdate" TIMESTAMP,
  "matchid" VARCHAR
);

Player Info

@kaggle.adnansattikar_womenspremierleague2023.player_info

8.61 KB
71 rows
8 columns


CREATE TABLE player_info (
  "name" VARCHAR,
  "team" VARCHAR,
  "battingstyle" VARCHAR,
  "bowlingstyle_wk" VARCHAR,
  "playingrole" VARCHAR,
  "image" VARCHAR,
  "unnamed_6" VARCHAR,
  "unnamed_7" VARCHAR
);