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Clemente FM, Couceiro MS, Martins FM, et al. Activity profiles of soccer players during the 2010 world cup. J Hum Kinet. 2013;38:201-11doi: 10.2478/hukin-2013-0060.
Clemente, F. M., Couceiro, M. S., Martins, F. M., Ivanova, M. O., & Mendes, R. (2013). Activity profiles of soccer players during the 2010 world cup. Journal of human kinetics, 38201-11. https://doi.org/10.2478/hukin-2013-0060
Clemente, Filipe Manuel, et al. "Activity profiles of soccer players during the 2010 world cup." Journal of human kinetics vol. 38 (2013): 201-11. doi: https://doi.org/10.2478/hukin-2013-0060
Clemente FM, Couceiro MS, Martins FM, Ivanova MO, Mendes R. Activity profiles of soccer players during the 2010 world cup. J Hum Kinet. 2013 Oct 08;38:201-11. doi: 10.2478/hukin-2013-0060. eCollection 2013. PMID: 24235995; PMCID: PMC3827759.
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J Hum Kinet. 2013 Oct 08;38:201-11. doi: 10.2478/hukin-2013-0060. eCollection 2013.

Activity profiles of soccer players during the 2010 world cup.

Journal of human kinetics

Filipe Manuel Clemente, Micael Santos Couceiro, Fernando Manuel Lourenço Martins, Monika Ognyanova Ivanova, Rui Mendes

Affiliations

  1. RoboCorp, Coimbra College of Education - Polytechnic Institute of Coimbra, Portugal. ; Faculty of Sport Sciences and Physical Education - University of Coimbra, Portugal.

PMID: 24235995 PMCID: PMC3827759 DOI: 10.2478/hukin-2013-0060

Abstract

The main objective of this study was to analyse the distance covered and the activity profile that players presented at the FIFA World Cup in 2010. Complementarily, the distance covered by each team within the same competition was analysed. For the purposes of this study 443 players were analysed, of which 35 were goalkeepers, 84 were external defenders, 77 were central defenders, 182 were midfielders, and 65 were forwards. Afterwards, a thorough analysis was performed on 16 teams that reached the group stage, 8 teams that achieved the round of 16, 4 teams that reached the quarter-finals, and 4 teams that qualified for the semi-finals and finals. A comparison of the mean distance covered per minute among the playing positions showed statistically significant differences (F(4,438) = 559.283; p < 0.001; 2 = 0.836; Power = 1.00). A comparison of the activity time among tactical positions also resulted in statistically significant differences, specifically, low activity (F(4,183.371) = 1476.844; p < 0.001; 2 = 0.742; Power = 1.00), medium activity (F(4,183.370) = 1408.106; p < 0.001; 2 = 0.731; Power = 1.00), and high activity (F(4,182.861) = 1152.508; p < 0.001; 2 = 0.703; Power = 1.00). Comparing the mean distance covered by teams, differences that are not statistically significant were observed (F(3,9.651) = 4.337; p < 0.035; 2 = 0.206; Power = 0.541). In conclusion, the tactical positions of the players and their specific tasks influence the activity profile and physical demands during a match.

Keywords: Soccer; activity profile; match analysis; player’s position

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