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Rating players in test match cricket

Author

Listed:
  • Sohail Akhtar

    (University of Malakand, Malakand, Pakistan)

  • Philip Scarf

    (University of Salford, Salford, UK)

  • Zahid Rasool

    (University of Salford, Salford, UK)

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.

Suggested Citation

  • Sohail Akhtar & Philip Scarf & Zahid Rasool, 2015. "Rating players in test match cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(4), pages 684-695, April.
    • Handle: RePEc:pal:jorsoc:v:66:y:2015:i:4:p:684-695
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    Citations

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    Cited by:

    1. Gaurav Deval & Faiz Hamid & Mayank Goel, 2021. "When to declare the third innings of a test cricket match?," Annals of Operations Research, Springer, vol. 303(1), pages 81-99, August.
    2. Praveen Puram & Soumya Roy & Deepak Srivastav & Anand Gurumurthy, 2023. "Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach," Annals of Operations Research, Springer, vol. 325(1), pages 261-288, June.
    3. Yamini Nekkanti & Dibyojyoti Bhattacharjee, 2020. "Novel Performance Metrics to Evaluate the Duel Between a Batsman and a Bowler," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(2), pages 201-211, May.

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