Typical weekly workload of under 15, under 17, and under 19 elite Portuguese football players

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Bibliographische Detailangaben
Deutscher übersetzter Titel:Typische, wöchentliche Trainingsbelastung bei unter 15-, unter 17- und unter 19 -jährigen portugiesischen Fußballspielern
Autor:Coutinho, Diogo; Gonçalves, Bruno; Figueira, Bruno; Abade, Eduardo; Marcelino, Rui; Sampaio, Jaime E.
Erschienen in:Journal of sports sciences
Veröffentlicht:33 (2015), 12 (Science and Medicine in Football), S. 1229-1237, Lit.
Format: Literatur (SPOLIT)
Publikationstyp: Zeitschriftenartikel
Medienart: Elektronische Ressource (online) Gedruckte Ressource
Sprache:Englisch
ISSN:0264-0414, 1466-447X
DOI:10.1080/02640414.2015.1022575
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Erfassungsnummer:PU201506004242
Quelle:BISp

Abstract

This study aims to describe the time–motion and physiological performance profiles of footballers whose ages are under 15 (U15), under 17 (U17), and under 19 (U19) during a typical week of a competitive season. A total of 151 elite Portuguese players U15 (age 14.0 ± 0.2; n = 56), U17 (age 15.8 ± 0.4; n = 66), and U19 (age 17.8 ± 0.6; n = 19) were monitored during 33 training sessions (TSs) (U15 n = 12; U17 n = 11; and U19 n = 10 TSs). The TS data were captured at 15 Hz by global positioning systems devices and divided into post-match (session after the match), prematch (session before the match), and middle week (average of remaining sessions). The U15 middle week showed a higher number of sprints, distance covered in intermediate speed zones, and time spent above 90% HRmax, while the prematch presented a higher distance covered above 18 km · h−1 and time spent below 75% HRmax. In U17, both prematch and post-match data presented lower values than middle-week data in most of the variables. The post-match data in U19 presented higher values of distance covered above 13 km · h−1, body impacts above 10 G, and time spent above 85% HRmax, while middle week showed higher values in body impacts in most of the zones. In addition, the prematch data presented 35% to 100% less values than the middle-week data. Understanding the weekly workload variations according to the competition and the developmental ages of the players can contribute to optimising short- and mid-term planning. Verf.-Referat