Multivariate profiles of selected versus non-selected elite youth brazilian soccer players
(Multivariate Profile brasilianischer Nachwuchsleistungsfußballer, die in die Auswahl berufen wurden versus denen, die nicht in die Auswahl berufen wurden)
This study determined whether a multivariate profile more effectively discriminated selected than non-selected elite youth Brazilian soccer players. This examination was carried out on 66 youth soccer players (selected, n = 28, mean age 16.3 ± 0.1; non-selected, n = 38, mean age 16.7 ± 0.4) using objective instruments. Multivariate profiles were assessed through anthropometric characteristics, biological maturation, tactical-technical skills, and motor performance. The Student`s t-test identified that selected players exhibited significantly higher values for height (t = 2.331, p = 0.02), lean body mass (t = 2.441, p = 0.01), and maturity offset (t = 4.559, p < 0.001), as well as performed better in declarative tactical knowledge (t = 10.484, p < 0.001), shooting (t = 2.188, p = 0.03), dribbling (t = 5.914, p < 0.001), speed - 30 m (t = 8.304, p < 0.001), countermovement jump (t = 2.718, p = 0.008), and peak power tests (t = 2.454, p = 0.01). Forward stepwise discriminant function analysis showed that declarative tactical knowledge, running speed -30 m, maturity offset, dribbling, height, and peak power correctly classified 97% of the selected players. These findings may have implications for a highly efficient selection process with objective measures of youth players in soccer clubs.
© Copyright 2017 Journal of Human Kinetics. Alle Rechte vorbehalten.
Schlagworte: | Fußball Nachwuchsleistungssport Brasilien Leistungsfähigkeit Leistungsfaktor Auswahl Jugend Junioren konditionelle Fähigkeit koordinative Fähigkeit Technik Taktik taktische Fertigkeit |
---|---|
Notationen: | Nachwuchssport Spielsportarten |
DOI: | 10.1515/hukin-2017-0094 |
Veröffentlicht in: | Journal of Human Kinetics |
Veröffentlicht: |
2017
|
Jahrgang: | 60 |
Heft: | 1 |
Seiten: | 113-121 |
Dokumentenarten: | Artikel |
Sprache: | Englisch |
Level: | hoch |