Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Rating players in test match cricket

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

[thumbnail of Rating players in test match cricket.pdf]
PDF - Published Version
Available under License Creative Commons Attribution.

Download (311kB) | Preview


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
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
Publisher: Taylor & Francis
ISSN: 0160-5682
Date of First Compliant Deposit: 7 December 2020
Date of Acceptance: 4 March 2014
Last Modified: 09 Dec 2020 15:00

Citation Data

Cited 10 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics