IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v43y2011i25p3591-3601.html

Do soccer players play the mixed-strategy Nash equilibrium?

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036841003670747
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036841003670747?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lackner, Mario & Sonnabend, Hendrik, 2021. "Coping with advantageous inequity—Field evidence from professional penalty kicking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 91(C).
    2. Sean Duffy & J. J. Naddeo & David Owens & John Smith, 2024. "Cognitive Load and Mixed Strategies: On Brains and Minimax," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 26(03), pages 1-34, September.
    3. 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).
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. Jan Libich & Dat Thanh Nguyen, 2022. "When a compromise gets compromised by another compromise," Australian Economic Papers, Wiley Blackwell, vol. 61(4), pages 678-716, December.
    12. 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).
    13. 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.

    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

    Statistics

    Access and download statistics

    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:taf:applec:v:43:y:2011:i:25:p:3591-3601. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.