A multidisciplinary selection model for youth soccer: the Ghent Youth Soccer Project

Vaeyens, Roel; Malina, Robert M.; Janssens, Melissa; Renterghem, Bart Van; Bourgois, Jan; Vrijens, Jacques; Philippaerts, Renaat

doi:10.1136/bjsm.2006.029652

Cited by 387 publications

(426 citation statements)

References 24 publications

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“…As regards the results obtained for the infantil category, significant differences were found between national and regional players in anthropometric parameters, explosive strength in the lower limbs, and forearm isometric strength (handgrip). These data are in line with the conclusions presented by Vaeyens et al 19 and Till et al 10 , where underlying maturation stage divergences may be behind this apparent dissonance. The absence of differences in performance regarding cadete-male may be due to the homogeneity of the sample in terms of maturation age, given that all participants in the study underwent a careful selection by a panel of expert judges.…”

Section: Discussionsupporting

confidence: 92%

“…If this step were omitted, anthropometric and physical performance parameters could be misinterpreted, which, in turn, might have repercussions on the sportsperson's career. With regard to the role of maturation in talent selection, the results of the present study support previous research efforts [18][19][20] . Additionally, a total of 4 variables that have an influence on performance but are not altered by the process of maturation were identified for male players: height trochanter, sum of skinfolds, flamingo balance and sit-ups.…”

Section: Discussionsupporting

confidence: 90%

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Selection of Talents in Handball: Anthropometric and Performance Analysis

Romero

Suárez

Carral

2017

Rev Bras Med Esporte

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Introduction: Anthropometric and physical performance parameters that determine competitive levels in handball need to be carefully studied to identify which of them can bring the optimal contribution when the talents for this sport are selected. Objective: To identify which anthropometric and physical performance variables evaluated in the basic categories (infantile, under-15 and cadet, under-17) have the greatest influence on professional levels attained by male and female handball players throughout their sports careers. Method: A total of 145 handball players (75 males and 70 females) participated in the study. Participants were initially evaluated during the season 1998-99 and their performance levels were supervised until March 2013. The resulting data were classified according to the performance level (regional n = 109; national n = 36), gender, and category (infantile, cadet). Results: The MANCOVA analysis indicated that the player's maturation stage is one of the main parameters to be accounted for when selecting the variables that should configure a talent detection model for handball, which is also conditioned by sex. Anthropometric variables are highly influential in the case of male players, while physical performance variables (squat jump, counter movement jump, counter movement jump with arm, 10x5m shuttle run, 20 m shuttle run, and VO 2 max) have a similar effect in males and females. Conclusion: The study of changes occurring in anthropometric and physical performance variables may yield useful information to detect talents in handball, and maturation is a key factor to choose the most appropriate variables.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 90%

Selection of Talents in Handball: Anthropometric and Performance Analysis

Romero

Suárez

Carral

2017

Rev Bras Med Esporte

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“…At first glance, their goals may seem disparate. Sports scientists seek to identify the qualities that make an elite human competitor [4,5], whereas evolutionary biologists want to know how heritable phenotypes affect the reproductive success of wild animals [6][7][8]. However, both fields address the same question: what drives variation in performances among individuals?…”

Section: Introductionmentioning

confidence: 99%

Skill not athleticism predicts individual variation in match performance of soccer players

et al. 2017

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Just as evolutionary biologists endeavour to link phenotypes to fitness, sport scientists try to identify traits that determine athlete success. Both disciplines would benefit from collaboration, and to illustrate this, we used an analytical approach common to evolutionary biology to isolate the phenotypes that promote success in soccer, a complex activity of humans played in nearly every modern society. Using path analysis, we quantified the relationships among morphology, balance, skill, athleticism and performance of soccer players. We focused on performance in two complex motor activities: a simple game of soccer tennis (1 on 1), and a standard soccer match (11 on 11). In both contests, players with greater skill and balance were more likely to perform better. However, maximal athletic ability was not associated with success in a game. A social network analysis revealed that skill also predicted movement. The relationships between phenotypes and success during individual and team sports have potential implications for how selection acts on these phenotypes, in humans and other species, and thus should ultimately interest evolutionary biologists. Hence, we propose a field of evolutionary sports science that lies at the nexus of evolutionary biology and sports science. This would allow biologists to take advantage of the staggering quantity of data on performance in sporting events to answer evolutionary questions that are more difficult to answer for other species. In return, sports scientists could benefit from the theoretical framework developed to study natural selection in non-human species.

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“…Este aumento de la fuerza explosiva en el salto se corrobora en diferentes artículos en adolescentes, tanto en jugadores de fútbol, (Le gall et al, 2010;Nedeljkovic et al, 2007;Vaeyens et al, 2006), como en chicos que no practican actividad deportiva (Castro et al, 2009;Ortega et al, 2011). Nedeljkovic et al, (2007), encuentran diferencias significativas en el salto vertical (CMJ), clasificando a los jugadores por edades desde U12 a U17 entre todas excepto entre las de 12-13 y 15-16.…”

Section: Discussionunclassified

“…Vaeyens et al, (2006) encuentran un aumento con la edad en jugadores de categorías U13 a U16. Gil et al, (2007) en jugadores de 14 a 17 años.…”

Section: Discussionunclassified

Capacidades físicas en jugadores de fútbol formativo de un club profesional / Physical Capacity In Youth Football Players Of A Profesional Club. pp. 289-307

Benítez-Sillero¹,

Silva-Grigoletto²,

Herrera³

et al. 2015

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RESUMENLas características físicas del fútbol son muy diversas, aunque se reconocen como muy importantes la capacidad de realizar esfuerzos de alta intensidad y la de retrasar la fatiga en la mayor medida posible en esfuerzos intermitentes. Son diversos los trabajos que analizan dichas características en el fútbol profesional, aunque son menores los que analizan las categorías de formación. En el presente estudio se analiza la evolución por categorías de

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A multidisciplinary selection model for youth soccer: the Ghent Youth Soccer Project

Abstract: Characteristics that discriminate youth soccer players vary by age group. Talent identification models should thus be dynamic and provide opportunities for changing parameters in a long-term developmental context.

Cited by 387 publications

References 24 publications

Selection of Talents in Handball: Anthropometric and Performance Analysis

Selection of Talents in Handball: Anthropometric and Performance Analysis

Skill not athleticism predicts individual variation in match performance of soccer players

Capacidades físicas en jugadores de fútbol formativo de un club profesional / Physical Capacity In Youth Football Players Of A Profesional Club. pp. 289-307

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