Machine Learning Techniques for Result Prediction of One Day International (ODI) Cricket Match

Abstract

Cricket is the most popular sport, and most watched now a day. Test matches, One Day Internationals (ODI), and Twenty20 Internationals are the three forms in which it is played. Until the last ball of the last over, no one can predict who would win the match. Machine learning is a new field that uses existing data to predict future results. The goal of this study is to build a model that will predict the winner of a One Day International Match before it begins. Machine learning techniques will be used on testing and training datasets to predict the winner of ODI match that will be based on the specified features. The data for model will be collected from Kaggle, and some will be collected from the different cricket Web sites because the data obtained from Kaggle have only matches up until July 2021. After that prediction will be done, and the model will provide advantages to team management in terms of improving team performance and increasing the chance of winning the game. This model will be used to predict the outcomes of the next Cricket World Cup 2023, which will be, the 13th, edition of the men’s ODI Cricket World Cup and will be hosted by India in 2023. Also, this work will serve as a guidance work, as there is much to be done in the field of sports.