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To bat or not to bat: An examination of match outcomes in day-night limited overs cricket

Author

Listed:
  • P Dawson

    (University of Bath)

  • B Morley

    (University of Bath)

  • D Paton

    (Nottingham University Business School)

  • D Thomas

    (University of Wales Aberystwyth, Aberystwyth)

Abstract

The tradition of tossing a coin to decide who bats first in a cricket match introduces a randomly assigned advantage to one team that is unique in sporting contests. The potential importance of the toss rule in determining cricket match results has been the subject of some investigation, which is further advanced in this paper that utilizes a data set relating to the increasingly popular, but contentious, day-night form of limited overs cricket as played at international level. We employ logit regression models to examine the effects of winning the toss and choice of batting order on the likelihood of a match victory, while controlling for home advantage and (relative) team quality. Our findings suggest that winning the toss and batting first increases the probability of winning whereas winning the toss and bowling first does not.

Suggested Citation

  • P Dawson & B Morley & D Paton & D Thomas, 2009. "To bat or not to bat: An examination of match outcomes in day-night limited overs cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1786-1793, December.
    • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:12:d:10.1057_jors.2008.135
    DOI: 10.1057/jors.2008.135
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    References listed on IDEAS

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    1. S R Clarke & P Allsopp, 2001. "Fair measures of performance: the World Cup of cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(4), pages 471-479, April.
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    4. P. E. Allsopp & Stephen R. Clarke, 2004. "Rating teams and analysing outcomes in one‐day and test cricket," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(4), pages 657-667, November.
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    Cited by:

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    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. Abhinav Sacheti & David Paton & Ian Gregory-Smith, 2016. "An Economic Analysis of Attendance Demand for One Day International Cricket," The Economic Record, The Economic Society of Australia, vol. 92(296), pages 121-136, March.
    4. Colin Cannonier & Bibhudutta Panda & Sudipta Sarangi, 2015. "20-Over Versus 50-Over Cricket," Journal of Sports Economics, , vol. 16(7), pages 760-783, October.
    5. Chitresh Kumar & Girish Balasubramanian, 2023. "Comparative Analysis of Pitch Ratings in All Formats of Cricket," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 48(3), pages 307-324, August.
    6. Chowdhury, Subhasish M & Jewell, Sarah & Singleton, Carl, 2024. "Can Awareness Reduce (and Reverse) Identity-Driven Bias in Judgement? Evidence from International Cricket," IZA Discussion Papers 16963, Institute of Labor Economics (IZA).
    7. Subhasish M. Chowdhury & Sarah Jewell & Carl Singleton, 2023. "Can Awareness Reduce (and Reverse) Identity-driven Bias in Judgement? Evidence from International Cricket," Economics Discussion Papers em-dp2023-10, Department of Economics, University of Reading.
    8. Sarah Jewell & J. James Reade & Carl Singleton, 2020. "It's Just Not Cricket: The Uncontested Toss and the Gentleman's Game," Economics Discussion Papers em-dp2020-10, Department of Economics, University of Reading.

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