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Effects of pitch surface and playing position on external load activity profiles and technical demands of young soccer players in match play

Author

Listed:
  • Ângelo Brito
  • Paulo Roriz
  • Pedro Silva
  • Ricardo Duarte
  • Júlio Garganta

Abstract

This study aims to analyse the effect of different pitch surface, i.e. artificial turf (AT), natural turf (NT) and dirt field (DF) on running activity and technical demands of young soccer players (age:13.4 ± 0.5yrs; height: 161.82 ± 7.52cm; body mass; 50.79 ± 7.22kg; and playing experience: 3.5 ± 1.4 yrs). Running activity data were collected using GPS units which allowed the calculation time–motion variables. Technical performance data were registered filming soccer matches. Analysis of variance (ANOVA) with repeated measures was employed to assess differences among variables. Total distance covered; distance for low-intensity running and very high-intensity running were higher on AT than NT (TD: η2 = .09, p = .007); (LIR: η2 = .062, p ≤ .05); and (VHIR: η2 = .05, p ≤ .05), respectively. Significant differences were identified between pitch surfaces on successful passing (η2 = .052, p = .051); unsuccessful passing (η2 = .155, p < .001); and interceptions (η2 = .1087, p < .001). Results suggest that pitch surface influences running activity and technical actions of young players. This information contributes to understand the different demands imposed in each pitch surface and, provides to the coaches the opportunity to implement strategies that could optimise players’ performance.

Suggested Citation

  • Ângelo Brito & Paulo Roriz & Pedro Silva & Ricardo Duarte & Júlio Garganta, 2017. "Effects of pitch surface and playing position on external load activity profiles and technical demands of young soccer players in match play," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(6), pages 902-918, November.
    • Handle: RePEc:taf:rpanxx:v:17:y:2017:i:6:p:902-918
    DOI: 10.1080/24748668.2017.1407207
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    References listed on IDEAS

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    1. Nic James, 2006. "Notational analysis in soccer: past, present and future," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 6(2), pages 67-81, November.
    2. Pedro Silva & Pedro Esteves & Vanda Correia & Keith Davids & Duarte Araújo & Julio Garganta, 2015. "Effects of manipulations of player numbers vs. field dimensions on inter-individual coordination during small-sided games in youth football," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 15(2), pages 641-659, August.
    3. Richard J Johnston & Mark L Watsford & Matthew J Pine & Robert W Spurrs & Daniel Sporri, 2013. "Assessment of 5 Hz and 10 Hz GPS units for measuring athlete movement demands," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 13(1), pages 262-274, April.
    4. Bathke, Arne C. & Schabenberger, Oliver & Tobias, Randall D. & Madden, Laurence V., 2009. "Greenhouse–Geisser Adjustment and the ANOVA-Type Statistic: Cousins or Twins?," The American Statistician, American Statistical Association, vol. 63(3), pages 239-246.
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    Cited by:

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    2. Jorge Garcia-Unanue & Alvaro Fernandez-Luna & Pablo Burillo & Leonor Gallardo & Javier Sanchez-Sanchez & Samuel Manzano-Carrasco & Jose Luis Felipe, 2020. "Key performance indicators at FIFA Women's World Cup in different playing surfaces," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-11, October.
    3. Mauro Miguel & Rafael Oliveira & Nuno Loureiro & Javier García-Rubio & Sergio J. Ibáñez, 2021. "Load Measures in Training/Match Monitoring in Soccer: A Systematic Review," IJERPH, MDPI, vol. 18(5), pages 1-25, March.

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