 Predicting the Comparative Strengths of National Football Teams*Garry A. Gelade and Paul Dobson Social Science Quarterly, 2007, vol. 88, issue 1, 244-258 Abstract: Objectives. The aim of this study was to identify the chief social and economic factors predicting the strength of national Association Football (soccer) teams. Methods. A theoretical model was developed to establish an appropriate functional form for the relationship between team strength and the number of individuals available for selection. OLS regression was used to predict the performance ratings of 201 national teams. Results. The results showed that the strength of a nation's football team depends on the number of men who regularly play football, the length of its football tradition, the wealth of its population, the percentage of expatriate players in the national team, and climatic conditions. These factors explain 70 percent of the variance in international team ratings. Conclusions. Many of the factors that determine team strength are structural and cannot be manipulated by policymakers. Nations could, however, strengthen their teams by encouraging wider participation in the sport. Poorer nations could develop stronger teams by encouraging their best players to play professional club football abroad, although this might have negative consequences for domestic football. Date: 2007 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:socsci:v:88:y:2007:i:1:p:244-258 Ordering information: This journal article can be ordered from Access Statistics for this article Social Science Quarterly is currently edited by Robert L. Lineberry More articles in Social Science Quarterly from Southwestern Social Science Association |
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