Critical speed models of high-resolution speed-duration profiles describe peak running demands in soccer
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Le résumé fourni par la source
The purpose of this study was to characterize critical speed (CS) models for summarizing high-resolution speed-duration profiles from GPS tracking data obtained from soccer players. GPS data from 15 male NCAA Division I soccer players were collected during practices and games over a 6-week period. Moving averages of the speed data were computed for each file for duration windows spanning 0.1 to 600 seconds at 0.1-second resolution. Speed-duration profiles for each session and for the entire sampling period (“global”) were generated for each player by selecting the maximal mean speeds for each duration. Four models were fit to the profiles: the two-parameter CS (CS2) model, the three-parameter CS (CS3) model, the omni-domain speed-duration (OmSD) model, and the five-parameter logistic (5PL) model. The 5PL, CS3, and OmSD models exhibited similar goodness of fits, and all outperformed the CS2 model. Similar CS estimates were obtained for each model, whereas maximum speed ( S max ) estimates were lower for OmSD compared to the 5PL. Players exhibited a range of parameter values for CS, D′, and S max . S max and CS estimated from session-specific speed-duration profiles were on average higher for games compared to practices. We conclude that CS models are useful for empirically describing speed-duration profiles and for assessing peak running demands for soccer practices and games. The proposed approach could help coaches design practice activities to better mimic game demands.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Critical speed models of high-resolution speed-duration profiles describe peak running demands in soccer
- Date Crossref
- 09/05/2024
- Éditeur
- SAGE Publications
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Simon Fraser University Department of Biomedical Physiology and Kinesiology and Sports Analytics Group pays non établi dans la noticeUniversité ou école supérieure
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Université de Montréal pays non établi dans la noticeUniversité ou école supérieure
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Canadian Sport Centre Pacific pays non établi dans la noticeInstitution
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Faculté de Médecine École de Kinésiologie et des Sciences de l’Activité Physique pays non établi dans la noticeUniversité ou école supérieure
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Canadian Sport Institute Pacific pays non établi dans la noticeStructure de recherche
Department of Biomedical Physiology and Kinesiology and Sports Analytics Group — Simon Fraser University, Université de Montréal et Canadian Sport Centre Pacific, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.