Identifying talented young soccer players: conditional, anthropometrical and physiological characteristics as predictors of performance
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Editorial Ramón Cantó Alcaraz
2015
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| _version_ | 1876474193222041600 |
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| author | Iraia Bidaurrazaga-Letona |
| author_facet | Iraia Bidaurrazaga-Letona |
| contents | Identifying talented young soccer players: conditional, anthropometrical and physiological characteristics as predictors of performance Iraia Bidaurrazaga-Letona José Antonio Lekue Markos Amado Jordan Santos-Concejero Susana Maria Gil Multidisciplinarias (Ciencias Sociales) position maturation youth soccer talent identification The aim of this study was to provide the profile of elite young soccer players. Fifty-five players of the Under-14 category of Athletic Club Bilbao participated in this study. Players were classified into 4 playing positions: forwards (n=30), midfielders (n=15), defenders (n=37) and goalkeepers (n=15). Complete anthropometry, chronological age (CA), age at peak height velocity, 15-m sprint test, agility test, Yo-yo IT level 1 (Yo-yo IR1), counter-movement jump and hand dynamometry were measured. Results were transformed into z-scores and summed up to make two performance composites (SCORE and SCOREHG). One-way analysis of variance and a Bonferroni posthoc test were used to examine the differences between playing positions. Multiple linear regression analysis was performed to estimate the contribution of independent variables to performance indicators. Significant differences were observed between playing positions in body mass and height (P<0.05); CA, maturity offset and muscle % (P<0.01); sum of skinfolds, fat %, endomorphy, sprint and agility tests (P<0.001). Stepwise regression analysis revealed that the CA and sum of skinfolds were the most important predictors of performance. Collectively, playing positions were characterised by specific anthropometrical characteristics whereas no significant positional differences were observed in performance. This study provides further insight concerning coaches’ practice of selecting young soccer players because of physical advantages. However, other components like technical and tactical skills, cognitive and psychological factors may be important to excel in soccer. 2015 artículo científico 1885-3137 https://www.redalyc.org/articulo.oa?id=71032869007 en http://www.redalyc.org/revista.oa?id=710 RICYDE. Revista Internacional de Ciencias del Deporte application/pdf Editorial Ramón Cantó Alcaraz RICYDE. Revista Internacional de Ciencias del Deporte (España) Num.39 Vol.XI |
| format | Artículo científico |
| id | redalyc_71032869007 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Editorial Ramón Cantó Alcaraz |
| spellingShingle | Identifying talented young soccer players: conditional, anthropometrical and physiological characteristics as predictors of performance Iraia Bidaurrazaga-Letona Multidisciplinarias (Ciencias Sociales) position maturation youth soccer talent identification Identifying talented young soccer players: conditional, anthropometrical and physiological characteristics as predictors of performance Iraia Bidaurrazaga-Letona José Antonio Lekue Markos Amado Jordan Santos-Concejero Susana Maria Gil Multidisciplinarias (Ciencias Sociales) position maturation youth soccer talent identification The aim of this study was to provide the profile of elite young soccer players. Fifty-five players of the Under-14 category of Athletic Club Bilbao participated in this study. Players were classified into 4 playing positions: forwards (n=30), midfielders (n=15), defenders (n=37) and goalkeepers (n=15). Complete anthropometry, chronological age (CA), age at peak height velocity, 15-m sprint test, agility test, Yo-yo IT level 1 (Yo-yo IR1), counter-movement jump and hand dynamometry were measured. Results were transformed into z-scores and summed up to make two performance composites (SCORE and SCOREHG). One-way analysis of variance and a Bonferroni posthoc test were used to examine the differences between playing positions. Multiple linear regression analysis was performed to estimate the contribution of independent variables to performance indicators. Significant differences were observed between playing positions in body mass and height (P<0.05); CA, maturity offset and muscle % (P<0.01); sum of skinfolds, fat %, endomorphy, sprint and agility tests (P<0.001). Stepwise regression analysis revealed that the CA and sum of skinfolds were the most important predictors of performance. Collectively, playing positions were characterised by specific anthropometrical characteristics whereas no significant positional differences were observed in performance. This study provides further insight concerning coaches’ practice of selecting young soccer players because of physical advantages. However, other components like technical and tactical skills, cognitive and psychological factors may be important to excel in soccer. 2015 artículo científico 1885-3137 https://www.redalyc.org/articulo.oa?id=71032869007 en http://www.redalyc.org/revista.oa?id=710 RICYDE. Revista Internacional de Ciencias del Deporte application/pdf Editorial Ramón Cantó Alcaraz RICYDE. Revista Internacional de Ciencias del Deporte (España) Num.39 Vol.XI |
| title | Identifying talented young soccer players: conditional, anthropometrical and physiological characteristics as predictors of performance |
| topic | Multidisciplinarias (Ciencias Sociales) position maturation youth soccer talent identification |
| url | https://www.redalyc.org/articulo.oa?id=71032869007 |