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To lead or not to lead: analysis of the sprint in track cycling

Author

Listed:
  • Moffatt Joanne
  • Scarf Phil
  • McHale Ian G.

    (Salford Business School, University of Salford, Salford, M5 4WT, UK)

  • Passfield Louis

    (School of Sport & Exercise Sciences, University of Kent at Medway Chatham, Kent ME4 4AG, UK)

  • Zhang Kui

    (Wuhan Polytechnic University, Wuhan 430023, Hubei, China)

Abstract

This paper uses a statistical analysis of match sprint outcomes to guide tactical decisions in this highly tactical contest and to provide competitors and coaches with a potential, marginal gain. Logistic regression models are developed to predict the probability of the leading rider winning at different points of the race, based on how the race proceeds up to each point. Key tactics are successfully identified from the models, including how the leading rider might hold the lead and how the following rider might optimize overtaking.

Suggested Citation

  • 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.
    • Handle: RePEc:bpj:jqsprt:v:10:y:2014:i:2:p:12:n:15
    DOI: 10.1515/jqas-2013-0112
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    References listed on IDEAS

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    1. Fearing Douglas & Acimovic Jason & Graves Stephen C, 2011. "How to Catch a Tiger: Understanding Putting Performance on the PGA TOUR," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(1), pages 1-47, January.
    2. P Scarf & S Akhtar, 2011. "An analysis of strategy in the first three innings in test cricket: declaration and the follow-on," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1931-1940, November.
    3. Gramacy Robert B. & Taddy Matt & Jensen Shane T., 2013. "Estimating player contribution in hockey with regularized logistic regression," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(1), pages 97-111, March.
    4. Philip Scarf & Xin Shi & Sohail Akhtar, 2011. "On the distribution of runs scored and batting strategy in test cricket," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 471-497, April.
    5. 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.
    6. P Scarf & S Akhtar, 2011. "An analysis of strategy in the first three innings in test cricket: declaration and the follow-on," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1931-1940, November.
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