High-intensity endurance capacity assessment as a tool for talent identification in elite youth female soccer
(Bewertung der hoch intensiven Ausdauerleistungsfähigkeit als Instrument zur Identifizierung von Talenten im weiblichen Elite-Jugendfußball)
Talent identification and development programmes have received broad attention in the last decades, yet evidence regarding the predictive utility of physical performance in female soccer players is limited. Using a retrospective design, we appraised the predictive value of performance-related measures in a sample of 228 youth female soccer players previously involved in residential Elite Performance Camps (age range: 12.7-15.3 years). With 10-m sprinting, 30-m sprinting, counter-movement jump height, and Yo-Yo Intermittent Recovery Test Level 1 (IR1) distance as primary predictor variables, the Akaike Information Criterion (AIC) assessed the relative quality of four penalised logistic regression models for determining future competitive international squads U17-U20 level selection. The model including Yo-Yo IR1 was the best for predicting career outcome. Predicted probabilities of future selection to the international squad increased with higher Yo-Yo IR1 distances, from 4.5% (95% confidence interval, 0.8 to 8.2%) for a distance lower than 440 m to 64.7% (95% confidence interval, 47.3 to 82.1%) for a score of 2040 m. The present study highlights the predictive utility of high-intensity endurance capacity for informing career progression in elite youth female soccer and provides reference values for staff involved in the talent development of elite youth female soccer players.
© Copyright 2020 Journal of Sports Sciences. Taylor & Francis. Alle Rechte vorbehalten.
| Schlagworte: | |
|---|---|
| Notationen: | Spielsportarten Nachwuchssport |
| Veröffentlicht in: | Journal of Sports Sciences |
| Sprache: | Englisch |
| Veröffentlicht: |
2020
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| Online-Zugang: | https://doi.org/10.1080/02640414.2019.1656323 |
| Jahrgang: | 38 |
| Heft: | 11-12 |
| Seiten: | 1313-1319 |
| Dokumentenarten: | Artikel |
| Level: | hoch |