A Markov model for ranking cricket teams playing one day international matches

Anuthrika, T.; Arivalzahan, S.; Tharshan, R.

dc.contributor.author	Anuthrika, T.
dc.contributor.author	Arivalzahan, S.
dc.contributor.author	Tharshan, R.
dc.date.accessioned	2021-02-16T08:17:08Z
dc.date.accessioned	2022-07-11T06:53:54Z
dc.date.available	2021-02-16T08:17:08Z
dc.date.available	2022-07-11T06:53:54Z
dc.date.issued	2019
dc.identifier.citation	Anuthrika, T., Arivalzahan, S. and Tharshan, R., 2019. A Markov model for ranking cricket teams playing one day international matches. Vingnanam Journal of Science, 14(1), pp.1–6. DOI: http://doi.org/10.4038/vingnanam.v14i1.4143
dc.identifier.issn	2012-9939
dc.identifier.uri	http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1494
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	Faculty of Science, University of Jaffna
dc.subject	Stochastic process	en_US
dc.subject	Markov model	en_US
dc.subject	Steady-state probability	en_US
dc.subject	One Day International Cricket ranking	en_US
dc.title	A Markov model for ranking cricket teams playing one day international matches	en_US
dc.type	Article	en_US