| Texto completo | |
| Autor(es): |
Palucci Vieira, Luiz H.
[1, 2]
;
Aquino, Rodrigo
[1, 2]
;
Moura, Felipe A.
[3]
;
de Barros, Ricardo M. L.
[4]
;
Arpini, Vitor M.
[2]
;
Oliveira, Lucas P.
[1, 5]
;
Bedo, Bruno L. S.
[2]
;
Santiago, Paulo R. P.
[1, 2]
Número total de Autores: 8
|
| Afiliação do(s) autor(es): | [1] Univ Sao Paulo, FMRP, Ribeirao Preto, SP - Brazil
[2] Univ Sao Paulo, Sch Phys Educ & Sport Ribeirao Preto, LaBioCoM Biomech & Motor Control Lab, Ribeirao Preto, SP - Brazil
[3] Univ Estadual Londrina, Lab Appl Biomech, Londrina, Parana - Brazil
[4] UNICAMP Campinas State Univ, LIB, Campinas, SP - Brazil
[5] Youth Training Dept, Botafogo Football Club, Ribeirao Preto, SP - Brazil
Número total de Afiliações: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | JOURNAL OF STRENGTH AND CONDITIONING RESEARCH; v. 33, n. 8, p. 2202-2216, AUG 2019. |
| Citações Web of Science: | 1 |
| Resumo | |
Analyses of movements during soccer competition have been used previously to help develop conditioning programs. However, this has not been extensively studied in youth populations. Therefore, the purposes of this study were to examine (1) dynamics of collective tactical movements, (2) running, and (3) skill-related performances during soccer matches disputed by children to senior players. A total of 120 Brazilian players in the age groups U11, U13, U15, U17, U20, and professional (PRO) were monitored during official competition matches (N = 12). Using semiautomatic video-based tracking (30 Hz), match running variables including total distance traveled, average speed, maximum sprint speed, and high-intensity activities were evaluated. Tactical metrics were computed as team surface area, spread, and median frequency. Through notational analysis, technical skills such as involvements with the ball, passes, ball touches, duels, and goal attempts were also recorded. One-way analysis of variance and magnitude-based inferences were used to detect differences between ages. Although the average speed, team surface area, and spread tended to present stabilized increases from the U15 (e.g., U15 > U13 > U11), maximal sprinting speed (PRO > U17 > U15, U13, U11) and percentage at very high-intensity activities (U20 > PRO, U17 > U15 > U13 > U11) demonstrated continuous gains. Median frequencies were higher in the younger groups (U13, U15, U17 > U20, PRO), although the percentage of successful passes was higher in the older groups (PRO > U17, U15 > U13, U11). We concluded that Brazilian U11 to PRO players present different performance profiles for running, collective movement dynamics, and technical skills, and that the rate of development regarding these components varies. Coaches should be aware of these differences to select and adapt training content for each age group. (AU) | |
| Processo FAPESP: | 17/20945-0 - EMU concedido no processo 16/50250-1: local positioning system |
| Beneficiário: | Sergio Augusto Cunha |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa Equipamentos Multiusuários |
| Processo FAPESP: | 16/50250-1 - O segredo de jogar futebol: Brasil versus Holanda |
| Beneficiário: | Sergio Augusto Cunha |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |