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Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season

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  • Oberstone Joel

    (University of San Francisco)

Abstract

Three of the most celebrated football leagues in the world include the English Premier League (EPL), Italy's Serie A, and Spain's La Liga. To date, little football research has been conducted that attempts to determine why these leagues are so successful. What is it that the EPL, La Liga, and Serie A do that fosters such a high caliber of play, and what pitch factors, if any, either (1) contrast or (2) connect these prestigious leagues? The paucity of rigorous inquiry has not deterred popular speculation-common folklore has not waited for hard data. Experts rush to characterize the perceived performance characteristics of these leagues with little hesitation. And these assumptions have, to some degree, taken on a life of their own: football's answer to urban legend.This paper searches for key similarities and differences between these leagues that are bolstered by statistically significant findings as well as evidence to identify the key pitch factors that are associated with a team's ultimate success within its respective league.

Suggested Citation

  • Oberstone Joel, 2011. "Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(1), pages 1-18, January.
    • Handle: RePEc:bpj:jqsprt:v:7:y:2011:i:1:n:2
    DOI: 10.2202/1559-0410.1280
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    References listed on IDEAS

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    1. Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.
    2. Carlos Pestana Barros & Stephanie Leach, 2006. "Performance evaluation of the English Premier Football League with data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1449-1458.
    3. Oberstone Joel, 2009. "Differentiating the Top English Premier League Football Clubs from the Rest of the Pack: Identifying the Keys to Success," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-29, July.
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    Cited by:

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    2. Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos & Verousis, Thanos, 2020. "A conditional fuzzy inference approach in forecasting," European Journal of Operational Research, Elsevier, vol. 283(1), pages 196-216.
    3. Jarvandi Ali & Sarkani Shahram & Mazzuchi Thomas, 2013. "Modeling team compatibility factors using a semi-Markov decision process: a data-driven approach to player selection in soccer," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(4), pages 347-366, December.
    4. Sarkar Sumit, 2018. "Paradox of crosses in association football (soccer) – a game-theoretic explanation," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 14(1), pages 25-36, March.
    5. Joaquín González-Rodenas & Rodrigo Aranda-Malaves & Andrés Tudela-Desantes & Félix Nieto & Ferran Usó & Rafael Aranda, 2020. "Playing tactics, contextual variables and offensive effectiveness in English Premier League soccer matches. A multilevel analysis," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
    6. Fiona Carmichael & Dennis Thomas, 2014. "Team performance: production and efficiency in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 10, pages 143-165, Edward Elgar Publishing.

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