Study of Successful Teams on FIFA World Cup 2010 through Notational Analysis

Abstract

A notational analysis provides opportunities to analyze the intrinsic characteristics of the teams in order to improve the quality of the training and quality of the opponent’s observation. The main objective of this work was to analyze the performance parameters and characterize the most successful teams on FIFA World Cup 2010, in order to describe the most relevant parameters that can improve the efficacy of the teams. Analyzes of variance among groups of teams were made in order to characterize the performance parameters and find differences that can explain the efficacy of the teams on competition. Regarding to results of this work is possible to verify that the most successful teams on attacking phase used more times the external side of the pitch. In the same way, the most successful teams take advantage to the penalty area of the opponent to make more shots and increase the opportunity to score. Concerning to passes made by teams, the most successful teams shows the tendency to make more short and medium passes than long passes, and shows more efficacy on the quality of the passes. The results demonstrate that most successful teams confirm some parameters that characterize the efficacy of the teams in line with the literature. Parameters as passes completed, areas of the shots made, attacking zones or zones of goals suffered are indicators that characterize the efficacy of the most successful teams on FIFA World Cup 2010.

Key words: Match analysis, team performance, soccer, offensive indicators, defensive indicators.

Keywords

• Match analysis; team performance; soccer; offensive indicators; defensive indicators

References

1. Akritas, M. G., Papadatos, N. (2004). Heteroscedastioc One-Way ANOVA and Lack-of-Fit Tests. Journal of the American Statistical Association, 99 (466), 368-390.
2. Bate, R. (1988). Football chance: tactics and strategy. (T. Reilly, A. Lees, K. Davids, W. Murphy, Ed.), Science and Football, pp. 293-301. London-New York: E. & F.N. Spon.
3. Carling, C., Williams, A. M., Reilly, T. (2005). Handbook of soccer match analysis: A systematic approach to improving performance. Abingdon, UK: Routledge.
4. Clemente, F., Couceiro, M., Martins, F., Mendes, R. (2012). Team’s Performance on FIFA U17 World Cup 2011: Study based on Notational Analysis. Journal of Physical Education and Sport, 12(1), 13-17.
5. Dufour, W. (1993). Computer-assisted scouting in soccer. (T. Reilly, J. Clarys, A. Stibbe, Ed.), Science and football II, pp. 160-166. London: E & FN Spon.
6. Garganta, J. (1997). Modelação táctica do jogo de Futebol. Estudo da organização da fase ofensiva em equipas de alto rendimento. Unpublished doctoral dissertation, Faculdade de Desporto of Universidade do Porto, Porto.
7. Garganta, J. (2001). A análise da performance nos jogos desportivos. Revisão acerca da análise do jogo. Portuguese Journal of Sport Sciences, 1(1), 57-64.
8. Hughes, M., Bartlett, R. M. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20(10), 739-754.

9. Hughes, M., Franks, I. M. (2004). Notational analysis – a review of the literature. (M. Hughes, I.M. Franks, Ed.), Notational Analysis of Sport: Systems for better coachingand performance in sport, pp. 59-106. New York: Routledge.
10. Hughes, M., Robertson, K., Nicholson, A. (1988). Comparison of patterns of play of successful and unsuccessful teams in the 1986 World Cup for Soccer. (T. Reilly, A. Lees, K. Davis, W. J. Murphy, Ed.), Science and Football, pp. 363-367. LondonNew York: E. & F.N. Spon.
11. James, N., Jones, P. D., Mellalieu, S. D. (2004). Possession as a performance indicator in soccer. International Journal of Performance Analysis in Sport, 4, 98-102.
12. Lago, C., Martín, R. (2007). Determinants of possession of the ball in soccer. Journal of Sports Sciences, 25(9), 969-974.
13. Lees, A. (2002). Technique analysis in sports: a critical review. Journal of Sports Sciences, 20(10), 813-828.
14. Liebermann, D. G., Katz, L., Hughes, M. D., Bartlett, R. M., McClements, J., Franks, I. M. (2002). Advances in the application of information technology to sport performance. Journal of Sports Sciences, 20(10), 755-769.
15. Maroco, J., Bispo, R. (2003). Estatística Aplicada às Ciências Sociais e Humanas. Lisboa: Climepsi Editores.
16. Miller, R. (1994). Charting to win – Soccer. Scholastic Coach, 64(5), 62-65.
17. Partridge, D., Franks, I. (1989a). A detail analysis of crossing opportunities from the 1986 World Cup (Part I). Soccer Journal, May-June, 47-50.
18. Partridge, D., Franks, I. (1989b). A detail analysis of crossing opportunities from the 1986 World Cup (Part II). Soccer Journal, June-July, 45-48.
19. Passos, P., Milho, J., Fonseca, S., Borges, J., Araújo, D., Davids, K. (2011). Interpersonal Distance Regulates Functional Grouping Tendencies of Agents in Team Sports. Journal of Motor Behavior, 43(2), 155-163.
20. Pedrosa, A. C., Gama, S. M. A. (2004). Introdução computacional à probabilidade e estatística. Porto: Porto Editora.
21. Reep, C., Pollard, R., Benjamin, B. (1971). Skill and chance in ball games. Journal of the Royal Statistical Society, A, 134, 623-629.
22. Taylor, J. B., Mellalieu, S. D., James, N., Shearer, D. A. (2008). The influence of match location, quality of opposition, and match status on technical performance in professional association football. Journal of Sports Sciences, 26(9), 885-895.
23. Tenga, A., Holme, I., Ronglan, L. T., Bahr, R. (2010). Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches. Journal of Sports Sciences, 28(3), 245-255.