Akhtar, Sohail, Scarf, Philip and Rasool, Zahid
2017.
Rating players in test match cricket.
Journal of the Operational Research Society
66
(4)
, pp. 684-695.
10.1057/jors.2014.30
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Abstract
In general, the evaluation of player performance in test cricket is based on measures such as batting and bowling averages. These measures have a number of limitations, among which is that they fail to take into account the context in which runs are made or conceded and wickets are taken or given away. Furthermore, batting and bowling averages do not allow the comparison of performances in these two disciplines; this is because batting and bowling performances are measured using different metrics. With these issues in mind, we develop a new player rating system for test cricket. We use multinomial logistic regression to model match outcome probabilities session by session. We then use these probabilities to measure the overall contribution of players to the match outcome based on their individual batting, bowling and fielding contributions during each session. Our measure of contribution has the potential for rating players over time and for determining the ‘best’ player in a match, a series or a calendar year. We use results from 104 matches (2010–2012) to illustrate the method.
Item Type: | Article |
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Date Type: | Publication |
Schools: | Business (Including Economics) |
Additional Information: | This work is licensed under a Creative Commons Attribution 3.0 Unported License The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ |
Publisher: | Taylor & Francis |
ISSN: | 0160-5682 |
Date of First Compliant Deposit: | 7 December 2020 |
Date of Acceptance: | 4 March 2014 |
Last Modified: | 21 May 2023 19:05 |
URI: | https://orca.cardiff.ac.uk/id/eprint/136873 |
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