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Indian Premier League (IPL) Match Data 2008-2023

Comprehensive IPL Match Data (2008-2023) for your data science project

@kaggle.bhuvaneshprasad_ipl_dataset_2008_2023_only_dataset_you_need

About this Dataset

Indian Premier League (IPL) Match Data 2008-2023

This dataset contains historical match results, batting cards, bowling cards, fall of wickets cards, partnership cards, players info and ball by ball data for all IPL matches since 2008 till date. The dataset is split into multiple files, each containing a different type of data.

Files:

  1. ipl_historical.csv: Contains match results data, such as the date, venue, teams involved, toss winner, toss decision, result, margin of victory, player of the match, etc.
  2. ipl_batting_card.csv: Contains batting card data, such as the player name, team, batting position, runs scored, balls faced, fours, sixes, strike rate, dismissal method, etc.
  3. ipl_bowling_card.csv: Contains bowling card data, such as the player name, team, bowling overs, maidens, runs conceded, wickets taken, economy rate, etc.
  4. ipl_fow_card.csv: Contains fall of wicket data, such as the over number, wicket number, batsman name, dismissal method, etc.
  5. ipl_partnership_card.csv: Contains partnership data, such as the partnership number, batsmen names, runs scored, balls faced, etc.
  6. ipl_players_info.csv: Contains player information data, such as the player name, team, nationality, batting style, bowling style, etc.
  7. ipl_ball_by-ball_data.csv: Contains ball-by-ball data for all IPL matches, such as the batsman name, bowler name, runs scored, extras, wicket ball, etc.

Potential Uses:

This dataset can be used for a variety of purposes, such as:

i.   Analyzing the performance of teams and players over time
ii.  Identifying trends in the game
iii. Developing predictive models for match outcomes
iv. Creating simulations of matches
v.  Creating educational and entertainment content

Licensing:

This dataset is licensed under the Open Database License (ODbL). This means that it is free to use, share, and modify for any purpose. The only requirement is that you must attribute the dataset to its creators.

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