Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1494
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dc.contributor.authorAnuthrika, T.
dc.contributor.authorArivalzahan, S.
dc.contributor.authorTharshan, R.
dc.date.accessioned2021-02-16T08:17:08Z
dc.date.accessioned2022-07-11T06:53:54Z-
dc.date.available2021-02-16T08:17:08Z
dc.date.available2022-07-11T06:53:54Z-
dc.date.issued2019
dc.identifier.citationAnuthrika, 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.issn2012-9939
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1494-
dc.description.abstractMain 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.isoenen_US
dc.publisherFaculty of Science, University of Jaffna
dc.subjectStochastic processen_US
dc.subjectMarkov modelen_US
dc.subjectSteady-state probabilityen_US
dc.subjectOne Day International Cricket rankingen_US
dc.titleA Markov model for ranking cricket teams playing one day international matchesen_US
dc.typeArticleen_US
Appears in Collections:Vingnanam 2019

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