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

  • Theoretical Paper
  • Published:
Journal of the Operational Research Society

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.

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References

  • Allsopp P and Clarke SR (2004). Rating teams and analysing outcomes in one day and test cricket. J Royal Stat Soc, Series A 167: 657–667.

    Article  Google Scholar 

  • Bailey M and Clarke SR (2004). Market inefficiencies in player head to head betting on the 2003 Cricket World Cup. In: Butenko S, Gil-Lafuente J. and Pardalos P.M. (eds). Economics, Management and Optimization in Sports. Springer: Berlin, pp. 185–201.

    Chapter  Google Scholar 

  • Bairam EI, Howells JM and Turner GM (1990a). Production functions in cricket: The Australian and New Zealand experience. Appl Econ 22: 871–879.

    Article  Google Scholar 

  • Bairam EI, Howells JM and Turner GM (1990b). Production functions in cricket: One day and three day matches in New Zealand. J Austral Soc Sports Hist 6: 203–217.

    Google Scholar 

  • Bhaskar V (2006). Rational adversaries? Evidence from randomized trials in the game of cricket. Mimeo, Department of Economics, University College London.

  • Chamberlain G (1980). Analysis of covariance with qualitative data. Rev Econ Studies 47: 225–238.

    Article  Google Scholar 

  • Clarke SR (1988). Dynamic programming in one-day cricket: Optimal scoring rates. J Opl Res Soc 39: 331–337.

    Google Scholar 

  • Clarke SR and Allsopp P (2001). Fair measures of performance: The World Cup of cricket. J Opl Res Soc 52: 471–479.

    Article  Google Scholar 

  • de Silva BM and Swartz TB (1997). Winning the coin toss and the home advantage in one-day international cricket matches. N Z Statistician 32: 19–23.

    Google Scholar 

  • de Silva BM, Pond GR and Swartz TB (2001). Estimation of the magnitude of victory in one-day cricket. Austral N Z J Stat 43: 259–268.

    Article  Google Scholar 

  • Duckworth FC and Lewis AJ (1998). A fair method of resetting the target in interrupted one-day cricket matches. J Opl Res Soc 49: 220–227.

    Article  Google Scholar 

  • Forrest D and Dorsey R (2008). Effect of toss and weather on County Cricket Championship outcomes. J Sports Sci 26: 3–13.

    Article  Google Scholar 

  • Morley B and Thomas D (2005). An investigation of home advantage and other factors affecting outcomes in English one-day cricket matches. J Sports Sci 23: 261–268.

    Article  Google Scholar 

  • Preston I and Thomas J (2000). Batting strategy in limited overs cricket. The Statistician 49: 95–106.

    Google Scholar 

  • Schofield JA (1988). Production functions in the sports industry: An empirical analysis of professional cricket. Appl Econ 20: 177–193.

    Article  Google Scholar 

  • Stefani RT (1997). Survey of the major world sports rating systems. J Appl Stat 24: 635–646.

    Article  Google Scholar 

  • Swartz TB, Gill PS, Beaudoin D and de Silva BM (2006). Optimal batting orders in one-day cricket. Comput Opns Res 33: 1939–1950.

    Article  Google Scholar 

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Acknowledgements

We thank Andrew Hignell for invaluable research assistance in the collection and presentation of data, and the International Cricket Council for the exclusive release of the ODI rankings data as supplied by David Kendix. We acknowledge the helpful comments made by John Cable, Fiona Carmichael and two anonymous referees on an earlier draft of the paper. Any errors and all interpretations remain the sole responsibility of us.

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Authors and Affiliations

  1. University of Bath, Bath, BA2 7AY, UK

    P Dawson & B Morley

  2. Nottingham University Business School, Jubilee Campus, Nottingham, NG8 1BB, UK

    D Paton

  3. University of Wales Aberystwyth, Aberystwyth, Ceredigion, SY23 3DD, UK

    D Thomas

Authors
  1. P Dawson
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  2. B Morley
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  3. D Paton
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  4. D Thomas
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Correspondence to P Dawson.

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Dawson, P., Morley, B., Paton, D. et al. To bat or not to bat: An examination of match outcomes in day-night limited overs cricket. J Oper Res Soc 60, 1786–1793 (2009). https://doi.org/10.1057/jors.2008.135

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  • DOI: https://doi.org/10.1057/jors.2008.135

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