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Can We Be Satisfied With Our Football Team? Evidence From Spanish Professional Football

Author

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  • Francisco González-Gómez

    (Universidad de Granada, fcojose@ugr.es)

  • Andrés J. Picazo-Tadeo

    (Universitat de València)

Abstract

This article assesses the sporting performance of Spanish professional football teams at competition level, namely, League, King’s Cup, and European competitions (Champions League and Union of European Football Associations [UEFA] Cup). Then, the gap between the result obtained by a team at the end of a season and that expected according to its potential is used as a proxy of the degree of satisfaction that fans should feel: the narrower the gap the greater the level of satisfaction. Regarding methodology, Data Envelopment Analysis techniques and directional distance functions are used. Results reveal that most teams perform rather differently across competitions, the lower average performance corresponding to the King’s Cup.

Suggested Citation

  • Francisco González-Gómez & Andrés J. Picazo-Tadeo, 2010. "Can We Be Satisfied With Our Football Team? Evidence From Spanish Professional Football," Journal of Sports Economics, , vol. 11(4), pages 418-442, August.
  • Handle: RePEc:sae:jospec:v:11:y:2010:i:4:p:418-442
    DOI: 10.1177/1527002509341020
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    Cited by:

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    2. José L. Ruiz & Diego Pastor & Jesús T. Pastor, 2013. "Assessing Professional Tennis Players Using Data Envelopment Analysis (DEA)," Journal of Sports Economics, , vol. 14(3), pages 276-302, June.
    3. Carlos Pestana Barros & Gaël Bertrand & Laurent Botti & Scott Tainsky, 2014. "Cost efficiency of French rugby clubs," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2721-2732, August.
    4. Fabíola Zambom-Ferraresi & Lucía Isabel García-Cebrián & Fernando Lera-López & Belén Iráizoz, 2017. "Performance Evaluation in the UEFA Champions League," Journal of Sports Economics, , vol. 18(5), pages 448-470, June.
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    6. Amar Oukil & Srikrishna Madhumohan Govindaluri, 2017. "A systematic approach for ranking football players within an integrated DEA‐OWA framework," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 38(8), pages 1125-1136, December.
    7. Caballero Fernández, Rafael & Gómez Núñez, Trinidad & Sala Garrido, Ramón, 2012. "Analysis of the Efficiency of Spanish Soccer League Players (2009/10) Using the Metafrontier Approach/Análisis de la Eficiencia de los Jugadores de fútbol de la Liga Española (2009/10) mediante el enf," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 30, pages 565-578, Agosto.
    8. Manuel Espitia‐Escuer & Lucia Isabel Garcia‐Cebrian, 2020. "Efficiency of football teams from an organisation management perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 321-338, April.
    9. Sergio Destefanis & Francesco Addesa & Giambattista Rossi, 2022. "The impact of COVID-19 on home advantage: a conditional order-m analysis of football clubs’ efficiency in the top-5 European leagues," Applied Economics, Taylor & Francis Journals, vol. 54(58), pages 6639-6655, December.
    10. Barros, Carlos Pestana & Assaf, A.George & de Araujo, Ari Francisco, 2011. "Cost performance of Brazilian soccer clubs: A Bayesian varying efficiency distribution model," Economic Modelling, Elsevier, vol. 28(6), pages 2730-2735.
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    12. Del Corral, Julio, 2012. "Eficiencia en el deporte: Entrenadores en la Primera División del fútbol español 2009-2011/Efficiency in Sports: Coaches in the Spanish Football First Division 2009-2011," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 30, pages 545-564, Agosto.
    13. Kostas Kounetas, 2014. "Greek football clubs’ efficiency before and after Euro 2004 Victory: a bootstrap approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(4), pages 623-645, December.
    14. Ana Pérez-González & Pablo Carlos & Elisa Alén, 2022. "An analysis of the efficiency of football clubs in the Spanish First Division through a two-stage relational network DEA model: a simulation study," Operational Research, Springer, vol. 22(3), pages 3089-3112, July.
    15. Lucía Isabel García-Cebrián & Fabíola Zambom-Ferraresi & Fernando Lera-López, 2018. "Efficiency in European football teams using WindowDEA: analysis and evolution," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(9), pages 2126-2148, November.
    16. Andrés Picazo-Tadeo & Francisco Gónzalez-Gómez & Jorge Guardiola Wanden-Berghe, 2011. "Referee home bias due to social pressure. Evidence from Spanish football," Working Papers 1119, Department of Applied Economics II, Universidad de Valencia.
    17. Fiona Carmichael & Giambattista Rossi & Denis Thomas, 2017. "Production, Efficiency, and Corruption in Italian Serie A Football," Journal of Sports Economics, , vol. 18(1), pages 34-57, January.
    18. J. Brandon Bolen & Jon Rezek & Joshua D. Pitts, 2019. "Performance Efficiency in NCAA Basketball," Journal of Sports Economics, , vol. 20(2), pages 218-241, February.
    19. Artur Wyszyński, 2017. "Sytuacja finansowa klubów Ekstraklasy w ujęciu metody DEA," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 69-99.
    20. Villa, G. & Lozano, S., 2016. "Assessing the scoring efficiency of a football match," European Journal of Operational Research, Elsevier, vol. 255(2), pages 559-569.
    21. Artur Wyszynski, 2016. "Efficiency Of Football Clubs In Poland," OLSZTYN ECONOMIC JOURNAL, University of Warmia and Mazury in Olsztyn, Faculty of Economic Sciences, vol. 11(1), pages 59-72, February.
    22. Chmait, Nader & Robertson, Sam & Westerbeek, Hans & Eime, Rochelle & Sellitto, Carmine & Reid, Machar, 2020. "Tennis superstars: The relationship between star status and demand for tickets," Sport Management Review, Elsevier, vol. 23(2), pages 330-347.

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    More about this item

    Keywords

    sports; Spanish football league; competition-specific performance; supporter satisfaction; Data Envelopment Analysis;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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