Cricket Result Prediction Using Machine Learning

Abstract

Most people on earth watch cricket, one of the most widely-watched sports in the world. Two teams of eleven players each compete in the game. Predicting a game's outcome has become a fundamental concern with the introduction of statistical modeling in sports. One of the most widely played team sports worldwide is cricket. Test matches, One Day Internationals, and Twenty20 Internationals are the three forms used to play cricket. The most often played version of the game, T20, is the focus of our study. In this post, we'll make an effort to forecast the outcomes of cricket games in the Indian Premier League (IPL). 8 to 10 teams can participate in an IPL season, with each team playing the other teams at least twice. Host matches at different locations. The outcome of the match is primarily determined by the outcome of the coin toss. The team winning the coin toss can elect to field or bat. The batting team will try to establish the target by scoring as many runs as possible in their allotted 20 overs.