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Do soccer players play the mixed-strategy Nash equilibrium?

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  • Ofer Azar
  • Michael Bar-Eli

Abstract

Mixed-Strategy Nash Equilibrium (MSNE) is a commonly used solution concept in game-theoretic models in various fields in economics, management and other disciplines, but the experimental results whether the MSNE predicts well actual play in games is mixed. Consequently, the evidence for naturally occurring games in which the MSNE predicts the outcome well is of great importance, as it can justify the vast use of MSNE in models. The game between the kicker and the goalkeeper in soccer penalty kicks is a real-world game that can be used to examine the application of the MSNE concept or its accuracy, because payoffs are a common knowledge, the players have huge incentives to play correctly, the game is simple enough to analyse, its Nash equilibrium is in mixed strategies, and players' actions can be observed. We collected and analysed the data on the direction of kicks and jumps in penalty kicks in various top leagues and tournaments. Our analysis suggests that the MSNE predictions are the closest to the actual sample data, even though some other prediction methods use information on the marginal distribution of kicks or jumps, whereas the MSNE does not.

Suggested Citation

  • Ofer Azar & Michael Bar-Eli, 2011. "Do soccer players play the mixed-strategy Nash equilibrium?," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3591-3601.
  • Handle: RePEc:taf:applec:v:43:y:2011:i:25:p:3591-3601
    DOI: 10.1080/00036841003670747
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    3. Jung S You, 2021. "Random Actions in Experimental Zero-Sum Games," Journal of Economics and Behavioral Studies, AMH International, vol. 13(1), pages 69-81.
    4. Krumer, Alex, 2020. "Pressure versus ability: Evidence from penalty shoot-outs between teams from different divisions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    5. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2017. "Serial correlation in National Football League play calling and its effects on outcomes," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 125-132.
    6. Morgulev, Elia & Azar, Ofer H. & Bar-Eli, Michael, 2019. "Does a “comeback” create momentum in overtime? Analysis of NBA tied games," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    7. Arrondel, Luc & Duhautois, Richard & Laslier, Jean-François, 2019. "Decision under psychological pressure: The shooter's anxiety at the penalty kick," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 22-35.
    8. Avugos, Simcha & Azar, Ofer H. & Sher, Eran & Gavish, Nadav & Bar-Eli, Michael, 2020. "The Right-Oriented Bias in Soccer Penalty Shootouts," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    9. Heifetz, Aviad & Heller, Ruth & Ostreiher, Roni, 2021. "Do Arabian babblers play mixed strategies in a “volunteer’s dilemma”?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 91(C).
    10. Simcha Avugos & Ofer H. Azar & Nadav Gavish & Eran Sher & Michael Bar-Eli, 2019. "Goal center width, how to count sequences, and the gambler's fallacy in soccer penalty shootouts," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(1), pages 98-108, January.
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    12. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Minimax on the gridiron: Serial correlation and its effects on outcomes in the National Football League," MPRA Paper 58907, University Library of Munich, Germany.
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    14. Gonzalez, Luis J. & Castaneda, Marco & Scott, Frank, 2019. "Solving the simultaneous truel in The Weakest Link: Nash or revenge?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 81(C), pages 56-72.

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    More about this item

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D00 - Microeconomics - - General - - - General
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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