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How do Bookmakers Interpret Running Performance of Teams in Previous Games? Evidence From the Football Bundesliga

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  • Brian P. Soebbing
  • Pamela Wicker
  • Daniel Weimar
  • Johannes Orlowski

Abstract

This study examines how running performance (intensive runs, total distance covered) of football teams in previous games impacts betting markets as it relates to expected win probability. Theoretically, bookmakers could interpret team’s running performance as effort or fatigue, with sports science studies suggesting that distance covered reflects effort and intensive runs signal fatigue. Using data from the 2011/12-2018/19 seasons of the German Bundesliga, beta regression models reveal that bookmakers interpret team’s running performance in previous games contrary to physiological explanations in sports sciences. Tests of market efficiency incorporating these findings do not find a profitable betting strategy for bettors.

Suggested Citation

  • Brian P. Soebbing & Pamela Wicker & Daniel Weimar & Johannes Orlowski, 2021. "How do Bookmakers Interpret Running Performance of Teams in Previous Games? Evidence From the Football Bundesliga," Journal of Sports Economics, , vol. 22(3), pages 231-250, April.
    • Handle: RePEc:sae:jospec:v:22:y:2021:i:3:p:231-250
    DOI: 10.1177/1527002520975827
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    1. José M. R. Murteira & Joaquim J. S. Ramalho, 2016. "Regression Analysis of Multivariate Fractional Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 515-552, April.
    2. Raymond Sauer, 2005. "The state of research on markets for sports betting and suggested future directions," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 416-426, September.
    3. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    4. Braun, Sebastian & Kvasnicka, Michael, 2013. "National Sentiment and Economic Behavior: Evidence From Online Betting on European Football," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(1), pages 45-64.
    5. Rodney J. Paul & Andrew P. Weinbach, 2005. "Bettor Misperceptions in the NBA," Journal of Sports Economics, , vol. 6(4), pages 390-400, November.
    6. Bäker Agnes & Mechtel Mario & Vetter Karin, 2012. "Beating thy Neighbor: Derby Effects in German Professional Soccer," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 224-246, June.
    7. Daniel Weimar & Katrin Scharfenkamp, 2019. "Effort reduction of employer‐to‐employer changers: Empirical evidence from football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(3), pages 277-291, April.
    8. Christian Deutscher & Bernd Frick & Marius Ötting, 2018. "Betting market inefficiencies are short-lived in German professional football," Applied Economics, Taylor & Francis Journals, vol. 50(30), pages 3240-3246, June.
    9. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    10. Daniel Weimar & Pamela Wicker, 2017. "Moneyball Revisited," Journal of Sports Economics, , vol. 18(2), pages 140-161, February.
    11. David Paton & Donald S. Siegel & Leighton Vaughan Williams, 2009. "The Growth of Gambling and Prediction Markets: Economic and Financial Implications," Economica, London School of Economics and Political Science, vol. 76(302), pages 219-224, April.
    12. Rodney J. Paul & Andrew P. Weinbach, 2013. "Baseball," Journal of Sports Economics, , vol. 14(2), pages 115-132, April.
    13. Vincenzo Scoppa, 2015. "Fatigue and Team Performance in Soccer," Journal of Sports Economics, , vol. 16(5), pages 482-507, June.
    14. Kenneth H. Brown & Fred J. Abraham, 2004. "“Testing Market Efficiency in the Major League Baseball Over-Under Betting Marketâ€," Journal of Sports Economics, , vol. 5(1), pages 96-99, February.
    15. Scoppa, Vincenzo, 2013. "Fatigue and Team Performance in Soccer: Evidence from the FIFA World Cup and the UEFA European Championship," IZA Discussion Papers 7519, Institute of Labor Economics (IZA).
    16. Jason P. Berkowitz & Craig A. Depken II & John M. Gandar, 2018. "The Conversion of Money Lines Into Win Probabilities," Journal of Sports Economics, , vol. 19(7), pages 990-1015, October.
    17. Mills, Brian M. & Salaga, Steven, 2018. "A natural experiment for efficient markets: Information quality and influential agents," Journal of Financial Markets, Elsevier, vol. 40(C), pages 23-39.
    18. Sebastian Braun & Michael Kvasnicka, 2013. "National Sentiment and Economic Behavior," Journal of Sports Economics, , vol. 14(1), pages 45-64, February.
    19. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    20. Thomas Ashman & R. Alan Bowman & James Lambrinos, 2010. "The Role of Fatigue in NBA Wagering Markets: The Surprising ‘‘Home Disadvantage Situation’’," Journal of Sports Economics, , vol. 11(6), pages 602-613, December.
    21. Jahn K. Hakes & Raymond D. Sauer, 2006. "An Economic Evaluation of the Moneyball Hypothesis," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 173-186, Summer.
    22. 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.
    23. Tim Kuypers, 2000. "Information and efficiency: an empirical study of a fixed odds betting market," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1353-1363.
    24. Hausman, Jerry A & Leonard, Gregory K, 1997. "Superstars in the National Basketball Association: Economic Value and Policy," Journal of Labor Economics, University of Chicago Press, vol. 15(4), pages 586-624, October.
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