Cricsheet is a collection of projects which collectively provide data for various aspects of cricket. The current projects provide ball-by-ball match data for Men’s and Women’s Test Matches, One-day internationals, Twenty20 Internationals, some other international T20s, and various club competitions such as all Indian Premier League seasons, and some Big Bash League, T20 Blast, Pakistan Super League, and The Hundred matches; and a registry of people linking the identifiers used for them ...
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Freely-available structured data for cricket, including ball-by-ball data international and T20 League cricket matches, and identifier (register) mapping for people involved in cricket. Learn more about Cricsheet
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The obtained data are only from the one-day international cricket matches from 2006 to 2017 and consist of the one-day international cricket format. This dataset has 15 labels with additional details of the match.
Women's Test matches. Women's One-Day Internationals. Women's Twenty20 Internationals. Under-19s Youth Test matches. Under-19s Youth One-Day Internationals. All cricket records (including minor cricket) Minor cricket (Twenty20) Records between opposing countries. Afghanistan Africa XI Argentina Asia XI Australia Austria Bahrain Bangladesh ...
This is a whatsapp bot that uses Cricket API to fetch different types of match data including lives ones, past and upcoming ones and send them on your whatsapp number.
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 .
Match API Get real-time scores and other data required to build a dedicated cricket match page. The match status, team lineups, player of the match and other relevant data are also available. The match status, team lineups, player of the match and other relevant data are also available.
Munir et al. experimented with twenty over format cricket matches to predict the outcome using various data mining techniques. The main aim of the study was to combine pre-game and in-game data to predict the outcome. They considered the T20 International match data along with IPL data till 2015 as the training data set.