ORIGINAL RESEARCH article
Front. Appl. Math. Stat.
Sec. Statistics and Probability
Volume 11 - 2025 | doi: 10.3389/fams.2025.1568445
A Bayesian Framework Perspective for Model of Paired Comparison in Cricket Teams Ranking
Provisionally accepted
- 1 Department of Statistics and Operations Research, College of Science, Kuwait University, Safat, Kuwait
- 2 Public Authority for Applied Education and Training, Kuwait City, Kuwait
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Ranking cricket teams are crucial in determining their standing and precedence in international cricket. In this study, we propose a novel approach to assess cricket team rankings using the Bayesian paired comparison method. The Bayesian paired comparison method is a statistical technique that leverages subjective assessments from a group of teams to evaluate their relative performance. The proposed approach is compared with the official rankings provided by the International Cricket Council (ICC), and it is found that the results obtained from the Bayesian method closely align with the ICC rankings. By incorporating subjective assessments and leveraging Bayesian inference, the method proves to be a reliable and accurate tool for evaluating team performance. The study highlights the advantages of the Bayesian paired comparison approach over traditional statistical techniques and provides valuable insights for cricket administrators, coaches, and enthusiasts in assessing and comparing the performance of cricket teams.
Keywords: Paired comparison method, Rao-Kupper model, Non-informative prior, Bayesian inference, preference probability, predictive probability
Received: 17 Feb 2025; Accepted: 25 Mar 2025.
Copyright: © 2025 Alkhezi, Shafee and Alkhezi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
AHMAD Shafee, Public Authority for Applied Education and Training, Kuwait City, Kuwait
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