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Modeling Performances and Competitive Balance in Professional Road Cycling

In: The Economics of Professional Road Cycling

Author

Listed:
  • Benjamin Cabaud

    (Vélo Club Dolois)

  • Nicolas Scelles

    (University of Stirling)

  • Aurélien François

    (University of Ottawa)

  • Stephen Morrow

    (University of Stirling)

Abstract

In the economics of professional team sports leagues, the concept of competitive balance is well documented. It postulates the necessity of equilibrium between the teams in a league in order to guarantee uncertainty of outcome and thus generate public demand. By contrast, performances and competitive balance are not easy to define in road cycling. This is because cycling can be seen as a team sport but the global team performance usually is of minor importance or even not taken into account at all. A large proportion of cyclists are in support of another rider, meaning that they do not care about their personal result but instead try to help their team leader(s). Moreover, a team leader generally has one specific objective amongst a range of possible ones. This chapter deals with the complex issue of modeling performances and competitive balance in professional road cycling. After a brief review of the literature on modeling performances and competitive balance in cycling, an innovative measure is introduced: competitive intensity in cycling. We illustrate this measure with two stages of the 2013 and 2014 Tour de France, and we discuss its implications.

Suggested Citation

  • Benjamin Cabaud & Nicolas Scelles & Aurélien François & Stephen Morrow, 2016. "Modeling Performances and Competitive Balance in Professional Road Cycling," Sports Economics, Management, and Policy, in: Daam Van Reeth & Daniel Joseph Larson (ed.), The Economics of Professional Road Cycling, edition 1, chapter 0, pages 257-283, Springer.
    • Handle: RePEc:spr:semchp:978-3-319-22312-4_12
    DOI: 10.1007/978-3-319-22312-4_12
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    Cited by:

    1. David Van Bulck & Arthur Vande Weghe & Dries Goossens, 2023. "Result-based talent identification in road cycling: discovering the next Eddy Merckx," Annals of Operations Research, Springer, vol. 325(1), pages 539-556, June.

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