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

Oberstone Joel
Additional contact information
Oberstone Joel: University of San Francisco

Journal of Quantitative Analysis in Sports, 2011, vol. 7, issue 1, 18

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.

Keywords: English Premier League; La Liga; Serie A; multiple regression; ANOVA; retrodictive regression model (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://doi.org/10.2202/1559-0410.1280 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:7:y:2011:i:1:n:2

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html

DOI: 10.2202/1559-0410.1280

Access Statistics for this article

Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman

More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Bibliographic data for series maintained by Peter Golla ().