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

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dc.contributor.author Anuthrika, T.
dc.contributor.author Arivalzahan, S.
dc.contributor.author Tharshan, R.
dc.date.accessioned 2021-11-02T06:53:59Z
dc.date.accessioned 2022-06-28T06:46:04Z
dc.date.available 2021-11-02T06:53:59Z
dc.date.available 2022-06-28T06:46:04Z
dc.date.issued 2019
dc.identifier.uri http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/4095
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 Vingnanam Journal of Science en_US
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


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