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Cited by 1,268

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Performance Characteristics According to Playing Position in Elite Soccer

Di Salvo, V., Baron, R., Tschan, H., Calderon Montero, F., Bachl, N., Pigozzi, F.·2007·International Journal of Sports Medicine

Abstract

The paper provides a large-scale study into the motion characteristics of top class soccer players, during match play, according to playing position. Three hundred top-class outfield soccer players were monitored during 20 Spanish Premier League and 10 Champions League games using a computerized match analysis system (Amisco Pro, Nice, France). Total distance covered in five selected categories of intensity, and the mean percentage of playing time spent in each activity were analyzed according to playing position. Midfield players covered a significantly greater total distance (p < 0.0001) than the groups of defenders and forwards did. Analyzing the different work rates showed significant differences (p < 0.5 - 0.0001) between the different playing positions. There were no significant differences between halves in the total distance covered, or in distances covered at submaximal and maximal intensities. However, significantly more distance was covered in the first half compared to the second in medium intensities (11.1 - 19 km/h). The current findings provide a detailed description of the demands placed on elite soccer players, according to their positional role at different work intensities, which may be helpful in the development of individualized training programs.

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Crossref · 10.1055/s-2006-924294

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Metadata

Authors
Di Salvo, V., Baron, R., Tschan, H., Calderon Montero, F., Bachl, N., & Pigozzi, F.
Venue
International Journal of Sports Medicine
Published
2007-03
Volume
28
Issue
3
Pages
222-227
ISSN
  • 0172-4622 (ISSN-L)
  • 1439-3964
OpenAlex
W2104469541
Cited by
1,268
References
1
FWCI
26.52
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.