IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v60y2009i12d10.1057_jors.2008.135.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/jors.2008.135
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/jors.2008.135?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    2. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    3. Raymond Stefani, 1997. "Survey of the major world sports rating systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(6), pages 635-646.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sudipta Sarangi & Emre Unlu, 2011. "Key Players and Key Groups in Teams," Departmental Working Papers 2011-10, Department of Economics, Louisiana State University.
    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. Chowdhury, Subhasish M. & Jewell, Sarah & Singleton, Carl, 2024. "Can awareness reduce (and reverse) identity-driven bias in judgement? Evidence from international cricket," Journal of Economic Behavior & Organization, Elsevier, vol. 226(C).
    6. 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.
    7. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abhinav Sacheti & Ian Gregory-Smith & David Paton, 2016. "Managerial Decision Making Under Uncertainty," Journal of Sports Economics, , vol. 17(1), pages 44-63, January.
    2. 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.
    3. 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.
    4. 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.
    5. Colin Cannonier & Bibhudutta Panda & Sudipta Sarangi, 2015. "20-Over Versus 50-Over Cricket," Journal of Sports Economics, , vol. 16(7), pages 760-783, October.
    6. Ariel Pakes & Jack Porter, 2024. "Moment inequalities for multinomial choice with fixed effects," Quantitative Economics, Econometric Society, vol. 15(1), pages 1-25, January.
    7. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    8. Wang, Hui & Riedinger, Jeffrey & Jin, Songqing, 2015. "Land documents, tenure security and land rental development: Panel evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 220-235.
    9. Nguimkeu, Pierre & Zeufack, Albert, 2024. "Manufacturing in structural change in Africa," World Development, Elsevier, vol. 177(C).
    10. T.R.L. Fry & R.D. Brooks & Br. Comley & J. Zhang, 1993. "Economic Motivations for Limited Dependent and Qualitative Variable Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 193-205, June.
    11. Babigumira, Ronnie & Angelsen, Arild & Buis, Maarten & Bauch, Simone & Sunderland, Terry & Wunder, Sven, 2014. "Forest Clearing in Rural Livelihoods: Household-Level Global-Comparative Evidence," World Development, Elsevier, vol. 64(S1), pages 67-79.
    12. Das, J.W.M. & van Soest, A.H.O., 1996. "A Panel Data Model for Subjective Information on Household Income Growth," Other publications TiSEM 9111e0db-3678-40a7-ab7f-1, Tilburg University, School of Economics and Management.
    13. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    14. Das, Marcel & van Soest, Arthur, 1999. "A panel data model for subjective information on household income growth," Journal of Economic Behavior & Organization, Elsevier, vol. 40(4), pages 409-426, December.
    15. Chernozhukov, Victor & Fernández-Val, Iván & Hoderlein, Stefan & Holzmann, Hajo & Newey, Whitney, 2015. "Nonparametric identification in panels using quantiles," Journal of Econometrics, Elsevier, vol. 188(2), pages 378-392.
    16. Christoph Moser & Jan-Egbert Sturm, 2011. "Explaining IMF lending decisions after the Cold War," The Review of International Organizations, Springer, vol. 6(3), pages 307-340, September.
    17. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    18. Wolfgang Keller & Arik Levinson, 1999. "Environmental Compliance Costs and Foreign Direct Investment Inflows to U.S. States," NBER Working Papers 7369, National Bureau of Economic Research, Inc.
    19. Ahlin, Christian & Kim, In Kyung & Kim, Kyoo il, 2021. "Who commits fraud? evidence from korean gas stations," International Journal of Industrial Organization, Elsevier, vol. 76(C).
    20. Dmitry Ryvkin, 2011. "Fatigue in Dynamic Tournaments," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(4), pages 1011-1041, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jorsoc:v:60:y:2009:i:12:d:10.1057_jors.2008.135. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.