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Nash equilibrium in strictly competitive games: live play in soccer

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  • Moschini, GianCarlo

Abstract

I model a scoring situation that arises frequently during soccer matches. The Nash equilibrium solution is shown to be broadly consistent with the conventional wisdom of experts. Data on goals scored over an entire season in Italyï¾’s soccer league provide statistical support for a prediction of the modelï¾’s Nash equilibrium.
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  • Moschini, GianCarlo, 2004. "Nash equilibrium in strictly competitive games: live play in soccer," Economics Letters, Elsevier, vol. 85(3), pages 365-371, December.
    • Handle: RePEc:eee:ecolet:v:85:y:2004:i:3:p:365-371
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    References listed on IDEAS

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    1. Ignacio Palacios-Huerta, 2003. "Professionals Play Minimax," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 395-415.
    2. Mark Walker & John Wooders, 2001. "Minimax Play at Wimbledon," American Economic Review, American Economic Association, vol. 91(5), pages 1521-1538, December.
    3. P.-A. Chiappori, 2002. "Testing Mixed-Strategy Equilibria When Players Are Heterogeneous: The Case of Penalty Kicks in Soccer," American Economic Review, American Economic Association, vol. 92(4), pages 1138-1151, September.
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    Cited by:

    1. Wolfgang Leininger & Axel Ockenfels, 2007. "The Penalty-Duel and Institutional Design: Is there a Neeskens-Effect?," Working Paper Series in Economics 34, University of Cologne, Department of Economics.
    2. 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.
    3. Giancarlo Moschini, 2010. "Incentives And Outcomes In A Strategic Setting: The 3‐Points‐For‐A‐Win System In Soccer," Economic Inquiry, Western Economic Association International, vol. 48(1), pages 65-79, January.
    4. Gelade Garry, 2014. "Evaluating the ability of goalkeepers in English Premier League football," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 1-8, June.
    5. Song-Kyoo (Amang) Kim, 2023. "Two-Person Stochastic Duel with Energy Fuel Constraint Ammo," Mathematics, MDPI, vol. 11(17), pages 1-8, August.
    6. Song-Kyoo (Amang) Kim, 2020. "A Versatile Stochastic Duel Game," Mathematics, MDPI, vol. 8(5), pages 1-13, May.
    7. Song-Kyoo (Amang) Kim, 2021. "Robust Pairwise n -Person Stochastic Duel Game," Mathematics, MDPI, vol. 9(8), pages 1-11, April.
    8. Christine Horne & Heiko Rauhut, 2013. "Using laboratory experiments to study law and crime," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1639-1655, April.
    9. Florian Baumann & Tim Friehe & Michael Wedow, 2011. "General Ability and Specialization: Evidence From Penalty Kicks in Soccer," Journal of Sports Economics, , vol. 12(1), pages 81-105, February.
    10. Song-Kyoo (Amang) Kim, 2022. "Shifted Brownian Fluctuation Game," Mathematics, MDPI, vol. 10(10), pages 1-12, May.
    11. Heiko Rauhut, 2009. "Higher Punishment, Less Control?," Rationality and Society, , vol. 21(3), pages 359-392, August.
    12. Espitia-Escuer, Manuel A. & García-Cebrián, Lucía Isabel, 2012. "Diversificación en la configuración de los equipos de la primera división española de fútbol/Diversification in the Team Configuration of the Spanish Football First Division," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 30, pages 527-544, Agosto.
    13. Luigi Buzzacchi & Stefano Pedrini, 2014. "Does player specialization predict player actions? Evidence from penalty kicks at FIFA World Cup and UEFA Euro Cup," Applied Economics, Taylor & Francis Journals, vol. 46(10), pages 1067-1080, April.

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