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Indian Premier League CSV dataset | Kaggle

Files in the dataset include: 1. Ball_by_Ball : Includes ball by ball details of all the 577 matches. 2. Match : Match metadata. 3. Player : Player metadata. 4. Player_Match : to know , who is the captain and keeper of the match , Includes every player who take part in match even If player haven't get a chance to either bat or bowl.

IPL-2019/matches.csv at master · nimitsolanki/IPL-2019 · GitHub

Indian Premier League data analysis. Contribute to nimitsolanki/IPL-2019 development by creating an account on GitHub.

GitHub - Vaishali-Garg/IPL-data-for-analytics: Download IPL ...

About. Download IPL data from cricsheet.org in csv format Resources

Indian Premier League (Cricket) | Kaggle

The dataset contains 2 files: deliveries.csv and matches.csv. matches.csv contains details related to the match such as location, contesting teams, umpires, results, etc. deliveries.csv is the ball-by-ball data of all the IPL matches including data of the batting team, batsman, bowler, non-striker, runs scored, etc.

Indian Premier League 2008-2019 | Kaggle

Indian Premier League (IPL) is a Twenty20 cricket format league in India. It is usually played in April and May every year. As of 2019, the title sponsor of the game is Vivo. The league was founded by Board of Control for Cricket India (BCCI) in 2008. Content. Data till Season 11 (2008 - 2019) matches.csv - Match by match data

IPL Complete Dataset (2008-2020) | Kaggle

Context. Now that this year's IPL is over, let's not curb our cricket love and start analyzing the whole of IPL with this latest and complete Indian Premier League 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 .


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GitHub - srinathkr07/IPL-Data-Analysis: Data Analytics with ...

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Available match data downloads - Cricsheet

Available match data downloads. The following is a full list of the match data zip files we provide. Our main data is available in JSON format, with the legacy data in YAML format, but there is also the possibility of using our experimental CSV, and XML files. If you just want every match we have ever released simply download the first entry in ...