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Assessing the scoring efficiency of a football match

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  • Villa, G.
  • Lozano, S.

Abstract

Data Envelopment Analysis (DEA) has been widely used for efficiency assessment in many sports and specifically in football. This paper presents a novel approach to measuring the scoring efficiency of football teams in a match. It uses a parallel process network DEA model that takes into account the defensive and attacking variables of the two teams, their respective percentage of possession of the ball and also the team's economic value. The proposed approach provides estimates of how many more goals each team should have scored in each of the matches played in the season. By averaging the scoring efficiency in the different matches played, team scoring efficiencies for the season can be computed. Moreover, the proposed DEA model can be run after each match so that the changes in efficiency can be monitored throughout the season. This can help coaches and managers assess their team's past performance and plan ahead for each match. The proposed approach has been applied to Spanish First Division teams for the season 2013/2014 and a virtual final league table has been computed.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ejores:v:255:y:2016:i:2:p:559-569
    DOI: 10.1016/j.ejor.2016.05.024
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    Cited by:

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    2. David Boto‐García & Carlos Varela‐Quintana & Alvaro Muñiz, 2023. "Foreign players, team production, and technical efficiency: Evidence from European soccer," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1209-1241, October.
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    4. 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.
    5. Isidoro Guzmán-Raja & Manuela Guzmán-Raja, 2021. "Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football," SAGE Open, , vol. 11(1), pages 21582440219, February.
    6. Gerçek Budak & İmdat Kara & Yusuf Tansel İç & Refail Kasımbeyli, 2019. "New mathematical models for team formation of sports clubs before the match," 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. 27(1), pages 93-109, March.
    7. 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.
    8. Janina Kleinknecht & Daniel Würtenberger, 2022. "Information effects of managerial turnover on effort and performance: Evidence from the German Bundesliga," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 791-812, April.
    9. Pinto, Claudio, 2020. "Fuzzy DEA models for sports data analysis: The evaluation of the relative performances of professional (virtual) football teams," MPRA Paper 103129, University Library of Munich, Germany.
    10. Ester Gutiérrez & Sebastián Lozano, 2020. "Benchmarking Formula One auto racing circuits: a two stage DEA approach," Operational Research, Springer, vol. 20(4), pages 2059-2083, December.

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