A Statistical Model for Ideal Team Selection for A National Cricket Squad

TL;DR

This paper proposes a statistical data analysis method to recommend an optimal national cricket team squad by evaluating player impact points from recent match data, aiming to improve team selection accuracy.

Contribution

It introduces a novel impact point system based on recent match data to assist in selecting the most suitable cricket players for national squads.

Findings

Impact point system shows promising accuracy in squad selection

Method effectively differentiates player performance in various conditions

Approach can be adapted for other team sports

Abstract

Cricket is a game played between two teams which consists of eleven players each. Nowadays cricket game is becoming more and more popular in Bangladesh and other South Asian Countries. Before a match people are very enthusiastic about team squads and "Which players are playing today?", "How well will MR. X perform today?" are the million dollar questions before a big match. This article will propose a method using statistical data analysis for recommending a national team squad. Recent match scorecards for domestic and international matches played by a specific team in recent years are used to recommend the ideal squad. Impact point or rating points of all players in different conditions are calculated and the best ones from different categories are chosen to form optimal line-ups. To evaluate the efficiency of impact point system, it will be tested with real time match data to see how much accuracy it gives.