Using machine learning algorithms to predict first innings score in limited overs cricket matches
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Updated
Mar 9, 2019 - Python
Using machine learning algorithms to predict first innings score in limited overs cricket matches
A ball-by-ball IPL T20 cricket simulator, you can make your own custom games, teams, or even simulate the entire tournament (all 7200 balls of it!)
Predicting the performance of a cricket player in his next match against a certain opposition and at a venue based on his previous records and stats in the period 2006-2019.
Cricket Analytics and Prediction Project
Predicts Sports Winner Team
This project aims at scrapping dataset for any cricket playing country.
This project is all about Cloning of "www.cricket.com". It is given to us as a construct week project at Masai School. This website, www.cricket.com ("Site", “Website”) is owned and operated by Crictec Media Limited. This is our first team collaboration project at Full Stack-development bootcamp in Masai School. Feel free to contact us for any s…
Given that only a finite number of outcomes can occur on each ball that is bowled, a discrete generator on a finite set is developed where the outcome probabilities are estimated from historical data involving one-day international cricket matches. The probabilities depend on the batsman, the bowler, the number of wickets lost, the number of bal…
Predicting probability of win for chasing team in cricket
🏏 IPL Win Predictor is a machine learning application that predicts the probability of winning for IPL teams based on current match conditions.
An analysis of IPL (Indian Premier League) data from 2008
🏏 Data Science projects that predicts cricket scores based on input parameters as batting team, bowling team, and current match conditions.
In this project I have created an men's t20 internationals cricket score predictor considering various factors like batting team, bowling team, current score etc. and got an 99% r2 score on training and 98% r2 score on testing.
The T20 Totalitarian project aims to leverage machine learning to predict the total score of a team in a T20 World Cup cricket match. By utilizing the powerful XGBoost algorithm, we aim to provide accurate predictions that can help in strategizing and understanding match dynamics better.
In the dynamic world of cricket, where every match is a spectacle of athleticism, strategy, and drama, the quest to foresee the future of the game has always been an exhilarating pursuit. Welcome to CricketOracle, your premier destination for unlocking the secrets of cricket predictions.
A T20I Cricket Score Predictor Using ML, Python, Google Colab, Streamlit.
Predict the outcome of a cricket match in MachineHack’s ODI Match Winner: Weekend Hackathon #9
Random cricket score simulator based on weighted probability of each run scored for player
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