IDEAS home Printed from https://ideas.repec.org/a/sae/amerec/v59y2014i1p34-51.html
   My bibliography  Save this article

Who Has The Advantage? An Economic Exploration of Winning in Men's Professional Tennis

Author

Listed:
  • Tomi Ovaska
  • Albert J. Sumell

Abstract

This study investigates the factors that determine winning in men's professional tennis. Using 27,388 tennis matches played on the men's singles ATP World Tour between 2000 and 2009, we estimate probit models which explain how several tournament, match, and player characteristics influence the probability of the higher ranked player winning the match. The results are used to confirm or dispel ten performance hypotheses concerning match outcomes. The results of the study provide insights into what matters to winning in head-to-head competitions, and are used to evaluate various economic issues such as how labor compensation, specialization, and experience can influence performance.

Suggested Citation

  • Tomi Ovaska & Albert J. Sumell, 2014. "Who Has The Advantage? An Economic Exploration of Winning in Men's Professional Tennis," The American Economist, Sage Publications, vol. 59(1), pages 34-51, May.
  • Handle: RePEc:sae:amerec:v:59:y:2014:i:1:p:34-51
    DOI: 10.1177/056943451405900104
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/056943451405900104
    Download Restriction: no

    File URL: https://libkey.io/10.1177/056943451405900104?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
    ---><---

    References listed on IDEAS

    as
    1. Ruud Koning, 2009. "Sport and Measurement of Competition," De Economist, Springer, vol. 157(2), pages 229-249, June.
    2. McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630, April.
    3. Dan Lin & Hsien-Chang Kuo & Lei-Huey Wang, 2013. "Chief Executive Compensation: An Empirical Study of Fat Cat CEOs," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 7(2), pages 27-42.
    4. Scheibehenne, Benjamin & Broder, Arndt, 2007. "Predicting Wimbledon 2005 tennis results by mere player name recognition," International Journal of Forecasting, Elsevier, vol. 23(3), pages 415-426.
    5. Thierry Lallemand & Robert Plasman & François Rycx, 2008. "Women and Competition in Elimination Tournaments," Journal of Sports Economics, , vol. 9(1), pages 3-19, February.
    6. Stephen Shmanske & Franklin Lowenthal, 2007. "Overtime Incentives in the National Hockey League (NHL)," Journal of Sports Economics, , vol. 8(4), pages 435-442, August.
    7. Douglas Coate & Donijo Robbins, 2001. "The Tournament Careers of Top-Ranked Men and Women Tennis Professionals: Are the Gentlemen More Committed than the Ladies?," Journal of Labor Research, Transaction Publishers, vol. 22(1), pages 185-193, January.
    8. McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630.
    9. Lallemand, Thierry & Plasman, Robert & Rycx, François, 2005. "Women and Competition in Elimination Tournaments: Evidence from Professional Tennis Data," IZA Discussion Papers 1843, Institute of Labor Economics (IZA).
    10. Julio del Corral, 2009. "Competitive Balance and Match Uncertainty in Grand-Slam Tennis," Journal of Sports Economics, , vol. 10(6), pages 563-581, December.
    11. Keith F. Gilsdorf & Vasant Sukhatme, 2008. "Tournament incentives and match outcomes in women's professional tennis," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2405-2412.
    12. Rosen, Sherwin, 1986. "Prizes and Incentives in Elimination Tournaments," American Economic Review, American Economic Association, vol. 76(4), pages 701-715, September.
    13. Uwe Sunde, 2009. "Heterogeneity and performance in tournaments: a test for incentive effects using professional tennis data," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3199-3208.
    14. Ruud, Paul A., 2000. "An Introduction to Classical Econometric Theory," OUP Catalogue, Oxford University Press, number 9780195111644.
    15. Bernd Frick, 2003. "Contest Theory and Sport," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 512-529, Winter.
    16. 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.
    17. Jan Magnus & Franc Klaassen, 1999. "The final set in a tennis match: Four years at Wimbledon," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(4), pages 461-468.
    18. Fiona Carmichael & Dennis Thomas, 2005. "Home-Field Effect and Team Performance," Journal of Sports Economics, , vol. 6(3), pages 264-281, August.
    19. Klaassen, Franc J.G.M. & Magnus, Jan R., 2009. "The efficiency of top agents: An analysis through service strategy in tennis," Journal of Econometrics, Elsevier, vol. 148(1), pages 72-85, January.
    20. Ryan Rodenberg & Daniel Stone, 2011. "The Short and Long-Run Labor Market Effects of Age Eligibility Rules: Evidence from Women’s Professional Tennis," Journal of Labor Research, Springer, vol. 32(2), pages 181-198, June.
    21. Paul Gregg & Sarah Jewell & Ian Tonks, 2005. "Executive Pay and Performance in the UK 1994-2002," The Centre for Market and Public Organisation 05/122, The Centre for Market and Public Organisation, University of Bristol, UK.
    22. Andrew J. Rohm & Sangit Chatterjee & Mohamed Habibullah, 2004. "Strategic measure of competitiveness for ranked data," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 103-108.
    23. David A. Malueg & Andrew J. Yates, 2010. "Testing Contest Theory: Evidence from Best-of-Three Tennis Matches," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 689-692, August.
    24. Benjamin Leard & Joanne M. Doyle, 2011. "The Effect of Home Advantage, Momentum, and Fighting on Winning in the National Hockey League," Journal of Sports Economics, , vol. 12(5), pages 538-560, October.
    25. Klaassen F. J G M & Magnus J. R., 2001. "Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 500-509, June.
    26. Easton, Stephen & Uylangco, Katherine, 2010. "Forecasting outcomes in tennis matches using within-match betting markets," International Journal of Forecasting, Elsevier, vol. 26(3), pages 564-575, July.
    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. Deutscher, Christian & Neuberg, Lena & Thiem, Stefan, 2023. "Who’s afraid of the GOATs? - Shadow effects of tennis superstars," Journal of Economic Psychology, Elsevier, vol. 99(C).
    2. Carsten Creutzburg & Wolfgang Maennig & Steffen Q. Mueller, 2024. "From bias to bliss: Racial preferences and worker productivity in tennis," Working Papers 075, Chair for Economic Policy, University of Hamburg.

    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. Alex Krumer & Mosi Rosenboim & Offer Moshe Shapir, 2016. "Gender, Competitiveness, and Physical Characteristics," Journal of Sports Economics, , vol. 17(3), pages 234-259, April.
    2. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    3. Ramirez, Philip & Reade, J. James & Singleton, Carl, 2023. "Betting on a buzz: Mispricing and inefficiency in online sportsbooks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1413-1423.
    4. Keith F. Gilsdorf & Vasant A. Sukhatme, 2013. "Gender differences in responses to incentives in sports: some new results from golf," Chapters, in: Eva Marikova Leeds & Michael A. Leeds (ed.), Handbook on the Economics of Women in Sports, chapter 5, pages 92-114, Edward Elgar Publishing.
    5. Sebastian Bervoets & Bruno Decreuse & Mathieu Faure, 2014. "A Renewed Analysis of Cheating in Contests: Theory and Evidence from Recovery Doping," AMSE Working Papers 1441, Aix-Marseille School of Economics, France, revised Jun 2015.
    6. Johannes Berger & Petra Nieken, 2016. "Heterogeneous Contestants and the Intensity of Tournaments," Journal of Sports Economics, , vol. 17(7), pages 631-660, October.
    7. Deutscher, Christian & Neuberg, Lena & Thiem, Stefan, 2023. "Who’s afraid of the GOATs? - Shadow effects of tennis superstars," Journal of Economic Psychology, Elsevier, vol. 99(C).
    8. He, Xue-Zhong & Treich, Nicolas, 2017. "Prediction market prices under risk aversion and heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 105-114.
    9. XiaoGang Che & Brad R. Humphreys, 2013. "Earnings and performance in women’s skiing," Chapters, in: Eva Marikova Leeds & Michael A. Leeds (ed.), Handbook on the Economics of Women in Sports, chapter 6, pages 115-131, Edward Elgar Publishing.
    10. Ruud H. Koning & Ian G. McHale, 2012. "Estimating Match and World Cup Winning Probabilities," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 11, Edward Elgar Publishing.
    11. St-Pierre, Marc, 2016. "The role of inequality on effort in tournaments," Mathematical Social Sciences, Elsevier, vol. 81(C), pages 38-52.
    12. Frick, Bernd, 2011. "Gender differences in competitiveness: Empirical evidence from professional distance running," Labour Economics, Elsevier, vol. 18(3), pages 389-398, June.
    13. Brad Humphreys & Bernd Frick, 2019. "Prize Structure and Performance: Evidence from NASCAR," Economies, MDPI, vol. 7(4), pages 1-13, October.
    14. Bernd Frick, 2011. "Gender Differences in Competitive Orientations: Empirical Evidence from Ultramarathon Running," Journal of Sports Economics, , vol. 12(3), pages 317-340, June.
    15. Hendrik Sonnabend, 2020. "On discouraging environments in team contests: Evidence from top‐level beach volleyball," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 986-997, September.
    16. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
    17. Kovalchik Stephanie Ann, 2016. "Searching for the GOAT of tennis win prediction," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(3), pages 127-138, September.
    18. Brian Hill, 2014. "The Heat Is On," Journal of Sports Economics, , vol. 15(4), pages 315-337, August.
    19. Iqbal, Hamzah & Krumer, Alex, 2017. "Discouragement Effect and Intermediate Prizes in Multi-Stage Contests: Evidence from Tennis’s Davis Cup," Economics Working Paper Series 1719, University of St. Gallen, School of Economics and Political Science.
    20. Jennifer Brown & Dylan B. Minor, 2014. "Selecting the Best? Spillover and Shadows in Elimination Tournaments," Management Science, INFORMS, vol. 60(12), pages 3087-3102, 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:sae:amerec:v:59:y:2014:i:1:p:34-51. 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: SAGE Publications (email available below). General contact details of provider: http://journals.sagepub.com/home/aex .

    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.