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Rating teams and analysing outcomes in one‐day and test cricket

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  • P. E. Allsopp
  • Stephen R. Clarke

Abstract

Summary. Multiple linear regression techniques are applied to determine the relative batting and bowling strengths and a common home advantage for teams playing both innings of international one‐day cricket and the first innings of a test‐match. It is established that in both forms of the game Australia and South Africa were rated substantially above the other teams. It is also shown that home teams generally enjoyed a significant advantage. Using the relative batting and bowling strengths of teams, together with parameters that are associated with common home advantage, winning the toss and the establishment of a first‐innings lead, multinomial logistic regression techniques are applied to explore further how these factors critically affect outcomes of test‐matches. It is established that in test cricket a team's first‐innings batting and bowling strength, first‐innings lead, batting order and home advantage are strong predictors of a winning match outcome. Contrary to popular opinion, it is found that the team batting second in a test enjoys a significant advantage. Notably, the relative superiority of teams during the fourth innings of a test‐match, but not the third innings, is a strong predictor of a winning outcome. There is no evidence to suggest that teams generally gained a winning advantage as a result of winning the toss.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jorssa:v:167:y:2004:i:4:p:657-667
    DOI: 10.1111/j.1467-985X.2004.00505.x
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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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    Cited by:

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    2. Liam J.A. Lenten & Wayne Geerling & László Kónya, 2012. "A hedonic model of player wage determination from the Indian Premier League auction: Further evidence," Sport Management Review, Taylor & Francis Journals, vol. 15(1), pages 60-71, January.
    3. 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.
    4. Abhinav Sacheti & Ian Gregory-Smith & David Paton, 2016. "Managerial Decision Making Under Uncertainty," Journal of Sports Economics, , vol. 17(1), pages 44-63, January.
    5. 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.
    6. Moffatt Joanne & Scarf Phil & McHale Ian G. & Passfield Louis & Zhang Kui, 2014. "To lead or not to lead: analysis of the sprint in track cycling," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 1-12, June.
    7. Hemanta Saikia, 2020. "Quantifying the Current Form of Cricket Teams and Predicting the Match Winner," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(2), pages 151-158, May.
    8. Akhtar, Sohail & Scarf, Philip, 2012. "Forecasting test cricket match outcomes in play," International Journal of Forecasting, Elsevier, vol. 28(3), pages 632-643.
    9. Silva, Rajitha M. & Manage, Ananda B.W. & Swartz, Tim B., 2015. "A study of the powerplay in one-day cricket," European Journal of Operational Research, Elsevier, vol. 244(3), pages 931-938.
    10. Stephen Easton & Sean Pinder & Steven Stern, 2018. "Documenting the functional form of dynamic risk‐taking behaviour in a real options context using sporting contests," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 159-178, November.
    11. Colin Cannonier & Bibhudutta Panda & Sudipta Sarangi, 2015. "20-Over Versus 50-Over Cricket," Journal of Sports Economics, , vol. 16(7), pages 760-783, October.
    12. Asif, M. & McHale, I.G., 2019. "A generalized non-linear forecasting model for limited overs international cricket," International Journal of Forecasting, Elsevier, vol. 35(2), pages 634-640.
    13. 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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