Abstract

The analysis of sports data, especially cricket is an interesting field for the statisticians. Every year, a large number of cricket tournaments take place among the cricket playing nations. It is of interest to study their performance when they play with each other in a one-day international (ODI) match or a test match. In this study, we assess the performance of top ten cricket teams in the ODI cricket match and make a comparison among them. The abilities of teams change over time. As a result, not a single team dominates the game over a long period. Therefore, a paired comparison method is more reliable and appropriate to compare more than two teams at the same time based on the outcomes of the matches they play. Arguably, a team’s performance also depends on whether they play at home or away. In this study, we consider Bradley-Terry model, a widely accepted model for pairwise comparison. In that, we consider home and away effect to demonstrate how the home advantages differ among these teams.

Highlights

  • The game of cricket is popular in many countries and is getting even more popularity day-by-day

  • 658 Bradley-Terry model for assessing the performance of ten ODI cricket teams adjusting for home ground effect

  • Bradley-Terry model for assessing the performance of ten ODI cricket teams adjusting for home ground effect where, pij + pji = 1 for all pairs, πi represents the skill or ability of team i, calculated as the proportion of all matches won by team i against all the other teams

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Summary

Introduction

The game of cricket is popular in many countries and is getting even more popularity day-by-day. 658 Bradley-Terry model for assessing the performance of ten ODI cricket teams adjusting for home ground effect. Bailey and Clarke (2006) explored the impact of different factors on the outcome of ODI cricket matches such as a home ground advantage, team quality, and current form of the players. Neil and Jonathan (2015) investigated the use of Bradley-Terry models to analyze test match cricket, Abbas and Aslam (2009) showed that any group of individuals may be ranked using the Cauchy PC model via a Bayesian approach with. Bradley-Terry model for assessing the performance of ODI cricket teams. We consider ODI matches of top ten teams in ICC ranking and explore their performance using the BT model with adjusting for home ground effect. Overall discussion and conclusion are presented in last section 4

Data and Methodology
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