Minimal Number of Events Required for Acceleration-Speed Profiling in Elite Women's Soccer.

athlete tracking invisible monitoring optimization running

Journal

International journal of sports physiology and performance
ISSN: 1555-0273
Titre abrégé: Int J Sports Physiol Perform
Pays: United States
ID NLM: 101276430

Informations de publication

Date de publication:
01 Dec 2023
Historique:
received: 09 06 2023
revised: 18 08 2023
accepted: 21 08 2023
medline: 30 11 2023
pubmed: 24 9 2023
entrez: 23 9 2023
Statut: epublish

Résumé

To determine the minimum number of events (training or matches) for producing valid acceleration-speed (AS) profiles from global navigation satellite system (GNSS) data. Nine elite female soccer players participated in a 4-week training camp consisting of 19 events. AS profile metrics calculated from different combinations of athlete events were compared to force-velocity (FV) profile metrics from 2 × 40-m stand-alone sprint effort trials, using the same GNSS 10-Hz technology. Force-velocity profiles were calculated, from which AS profiles were obtained. AS profiles from training and matches were generated by plotting acceleration and speed points and performing a regression through the maximal points to obtain the AS metrics (theoretical maximal speed, x-intercept [in meters per second], theoretical maximal acceleration, y-intercept [in meters per second squared], and the slope per second). A linear mixed model was performed with the AS metrics as the outcome variables, the number of events as a fixed effect, and the participant identifier as a mixed effect. Dunnett post hoc multiple comparisons were used to compare the means of each number of event grouping (1-19 events) to those estimated from the dedicated sprint test. Theoretical maximal speed and theoretical maximal acceleration means were no longer significantly different from the isolated sprint reference with 9 to 19 (small to trivial differences = -0.31 to -0.04 m·s-1, P = .12-.99) and 6 to 19 (small differences = -0.4 to -0.28 m·s-2, P = .06-.79) events, and the slopes were no longer different with 1 to 19 events (trivial differences = 0.06-0.03 s-1, P = .35-.99). AS profiles can be estimated from a minimum of 9 days of tracking data. Future research should investigate methodology resulting in AS profiles estimated from fewer events.

Identifiants

pubmed: 37741637
doi: 10.1123/ijspp.2023-0223
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1457-1460

Auteurs

Patrick Cormier (P)

Canadian Sport Institute Pacific, Victoria, BC, Canada.
School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada.
Health and Athletic Performance Department, Canada Soccer, Ottawa, ON, Canada.

Ming-Chang Tsai (MC)

Canadian Sport Institute Pacific, Victoria, BC, Canada.

Cesar Meylan (C)

Canadian Sport Institute Pacific, Victoria, BC, Canada.
Health and Athletic Performance Department, Canada Soccer, Ottawa, ON, Canada.
School of Kinesiology, University of British Columbia, Vancouver, BC, Canada.

Victor H T Soares (VHT)

Laboratory of Alternative Energy Conversion, Simon Fraser University, Surrey, BC, Canada.

David C Clarke (DC)

Canadian Sport Institute Pacific, Victoria, BC, Canada.
Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.
SFU Sports Analytics Group, Simon Fraser University, Burnaby, BC, Canada.

Marc Klimstra (M)

Canadian Sport Institute Pacific, Victoria, BC, Canada.
School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada.

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Classifications MeSH