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Match-Level Uncertainty in Professional Tennis Revisited—A Novel Approach Applied for the Time Between 2010 and 2019

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  • Selçuk Özaydın
  • Thomas Könecke

Abstract

Despite its popularity, outcome uncertainty in professional tennis did not receive much attention from academics in the recent past. This is astonishing because it should be of utmost importance in professional tennis in the following years with the approaching end of the era of the Big 3. This study investigates match-level uncertainty in professional women's and men's tennis between 2010 and 2019 using a logit model with a dataset consisting of 51,054 matches. In the different analyses, the variations in the ranking and quality differences between players are taken into account in addition to differences across surfaces, tournaments, and genders. In the investigated period, women's tennis has relatively higher outcome uncertainty when compared to men's. The results also illustrate that talent seems to be distributed more evenly in women's tennis, whereas men's tennis has high heterogeneity in terms of talent. Moreover, very specific subgroups of matches having the highest and lowest uncertainty in men's and women's tennis are identified. Managerial implications are also presented to show how organizers, policy makers and, eventually, fans can benefit from the insights presented in this study.

Suggested Citation

  • Selçuk Özaydın & Thomas Könecke, 2024. "Match-Level Uncertainty in Professional Tennis Revisited—A Novel Approach Applied for the Time Between 2010 and 2019," Journal of Sports Economics, , vol. 25(4), pages 507-532, May.
    • Handle: RePEc:sae:jospec:v:25:y:2024:i:4:p:507-532
    DOI: 10.1177/15270025241233549
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    1. Abrevaya, Jason, 2002. "Ladder tournaments and underdogs: lessons from professional bowling," Journal of Economic Behavior & Organization, Elsevier, vol. 47(1), pages 87-101, January.
    2. Paul, Rodney J. & Weinbach, Andrew P., 2007. "The uncertainty of outcome and scoring effects on Nielsen ratings for Monday Night Football," Journal of Economics and Business, Elsevier, vol. 59(3), pages 199-211.
    3. Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2016. "The importance of suspense and surprise in entertainment demand: Evidence from Wimbledon," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 47-63.
    4. Nader Chmait & Sam Robertson & Hans Westerbeek & Rochelle Eime & Carmine Sellitto & Machar Reid, 2020. "Tennis superstars: The relationship between star status and demand for tickets," Sport Management Review, Taylor & Francis Journals, vol. 23(2), pages 330-347, April.
    5. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64(3), pages 242-242.
    6. Pedro Garcia-del-Barrio & J. James Reade, 2022. "Does certainty on the winner diminish the interest in sport competitions? The case of formula one," Empirical Economics, Springer, vol. 63(2), pages 1059-1079, August.
    7. Dennis Coates & Brad R. Humphreys & Li Zhou, 2014. "Reference-Dependent Preferences, Loss Aversion, And Live Game Attendance," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 959-973, July.
    8. Klaassen, Franc J. G. M. & Magnus, Jan R., 2003. "Forecasting the winner of a tennis match," European Journal of Operational Research, Elsevier, vol. 148(2), pages 257-267, July.
    9. Boulier, Bryan L. & Stekler, H. O., 1999. "Are sports seedings good predictors?: an evaluation," International Journal of Forecasting, Elsevier, vol. 15(1), pages 83-91, February.
    10. del Corral, Julio & Prieto-Rodríguez, Juan, 2010. "Are differences in ranks good predictors for Grand Slam tennis matches?," International Journal of Forecasting, Elsevier, vol. 26(3), pages 551-563, July.
    11. Chmait, Nader & Robertson, Sam & Westerbeek, Hans & Eime, Rochelle & Sellitto, Carmine & Reid, Machar, 2020. "Tennis superstars: The relationship between star status and demand for tickets," Sport Management Review, Elsevier, vol. 23(2), pages 330-347.
    12. Jason P. Berkowitz & Craig A. Depken II & Dennis P. Wilson, 2011. "When Going in Circles is Going Backward: Outcome Uncertainty in NASCAR," Journal of Sports Economics, , vol. 12(3), pages 253-283, June.
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