Bangladesh Cricket Squad Prediction Using Statistical Data and Genetic Algorithm

Abstract

Cricket is the most popular game in Bangladesh and has become an inseparable part of our culture. This game is played between two teams where every team has 11 players. Each of these players has a different role, such as Batsman, Bowler, All-rounder and Wicket keeper. People of Bangladesh are very concern about the national cricket squad before any match or any series. Besides these perfect squad and combination selection is needed to win any cricket match or any series. In this article a model is proposed to select an optimal cricket squad using statistical data and genetic algorithm. The last 2 years performance of all Bangladeshi players in national league and international matches is considered to predict each player performance and select top 30 players using statistical data. Then genetic algorithm is applied on these 30 players to predict final Bangladeshi national cricket squad of 14 members. The predicted squad in this proposed model is only valid for one day international(ODI) match. But this model is generic and with proper data t20 and test squad will also be predicted.