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Can we be satisfied with our football team? Evidence from spanish professional football


  • Francisco González Gómez

    () (Departmento de Economía Aplicada, Universidad de Granada.)

  • Andrés J. Picazo Tadeo

    () (Departmento de Economía Aplicada II, Universidad de Valencia.)


This paper assesses the sporting performance of Spanish professional football teams at competition level, namely, League, King’s Cup and European competitions (Champions League and UEFA Cup). Then, the gap between the result obtained by a team in a given competition 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, 2008. "Can we be satisfied with our football team? Evidence from spanish professional football," ThE Papers 08/11, Department of Economic Theory and Economic History of the University of Granada..
  • Handle: RePEc:gra:wpaper:08/11

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    Cited by:

    1. 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.
    2. 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 Economía Aplicada, Estudios de Economía Aplicada, vol. 30, pages 565-578, Agosto.

    More about this item


    Spanish football League; specific-competition performance; Data Envelopment Analysis.;

    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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