A Survey on Team Selection in Game of Cricket Using Machine Learning

Abstract

Player selection is one the most important tasks for any sport and cricket is no exception. The performance of the players depends on various factors such as the opposition team, the venue, his current form etc. The team management, the coach and the captain select 11 players for each match from a squad of 15 to 20 players. Analyze various player characteristics and statistics to select the top 11 players for each match. Each batter contributes to the maximum number of runs possible, and each bowler contributes to both the maximum and the fewest runs possible. This paper attempts to predict the performance of players as how many runs will each batsman score and how many wickets each bowler take for both the teams. Both the problems are targeted as classification problems where number of runs and number of wickets are classified in different ranges. We used Naive Bayes to create predictive models for both problems.