Abstract
Main purpose of ranking teams in One Day International (ODI) Cricket matches is to identify challenging teams of each team. In the sports science literature, various statistical procedures have been proposed by different researchers to rank teams. International Cricket Council (ICC) is using a ranking system as the standard practice. However, it does not work well to realize some head-to head match results. This paper provides a stochastic Markov chain model to rank teams. A comprehensive analysis on head-to-head match prediction for each cricket team is given based on steady-state probabilities. Performance of the proposed model is investigated with ICC ODI rankings. It is shown that the proposed model outperforms to predict results of head-to-head ODI Cricket matches.
Highlights
The One Day International (ODI) team ranking is an international ranking system authorized by International Cricket Council (ICC) to show the standings of different teams from various nations by analyzing past cricket match performances
The existing ICC ODI ranking scheme is based on points, but the proposed Markov Chain ODI ranking scheme is based on steady state probabilities
The ICC ODI ranking system is suspected to provide the reliable realization on some head-to-head match result for a person who is fascinated in Cricket
Summary
The One Day International (ODI) team ranking is an international ranking system authorized by International Cricket Council (ICC) to show the standings of different teams from various nations by analyzing past cricket match performances. There are ten countries namely Sri Lanka, India, Pakistan, Australia, England, South Africa, West Indies, New Zealand, Bangladesh, and Zimbabwe having the full-membership in ICC. In this system, there is a moot point at the rapid incorporation of head-to-head prediction and leads to have difficulties to identify challenging teams for a team. It is imperative to develop an acceptable model that works well on head-to-head match prediction
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