A study on Machine Learning Approaches for Player Performance and Match Results Prediction
This is an incremental review that addresses prediction problems for cricket analysts and enthusiasts.
The paper reviews existing machine learning techniques for predicting cricket match outcomes and player performance, comparing various approaches without presenting new results.
Cricket is unarguably one of the most popular sports in the world. Predicting the outcome of a cricket match has become a fundamental problem as we are advancing in the field of machine learning. Multiple researchers have tried to predict the outcome of a cricket match or a tournament, or to predict the performance of players during a match, or to predict the players who should be selected as per their current performance, form, morale, etc. using machine learning and artificial intelligence techniques keeping in mind extensive detailing, features, and parameters. We discuss some of these techniques along with a brief comparison among these techniques.