Predicting the Comparative Strengths of National Football Teamsn

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 per-formance 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. Conclu-sions. 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. International politicians now accept that sport can make a positive con-tribution to the social, economic, and political life of nations. In a report to the General Assembly, the Secretary-General of the United Nations de-clared: ‘‘On the national level, sport and physical education contribute to economic and social growth, improve public health and bring different communities together. On the global level, if used consistently, sport and physical education can have a long-lasting positive impact on development, public health, peace and the environment’ ’ (United Nations, 2005:3). National sporting performance began to attract scholarly attention in the 1970s with the appearance of studies examining the socioeconomic ante