Akhtar, S, Scarf, PA and Rasool, Z 2015, 'Rating players in test match cricket' , Journal of the Operational Research Society, 66 , pp. 684-695.
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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 upon their individual batting, bowling and fielding contributions during each session. Our measure of contribution has the potential for rating players through over time and for determining the “best” player in a match, a series, or a calendar year. We use results from 104 matches (in 2010, 2011 and 2012) to illustrate the method.
|Schools:||Schools > Salford Business School
Schools > Salford Business School > Business and Management Research Centre
|Journal or Publication Title:||Journal of the Operational Research Society|
|Funders:||Non funded research|
|Depositing User:||S Rafiq|
|Date Deposited:||13 Mar 2014 16:30|
|Last Modified:||08 Nov 2015 23:04|
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