Modelling age-related changes in motor competence and physical fitness in high-level youth soccer players: implications for talent identification and development

ABSTRACT Purpose: The effectiveness of early talent identification and development programs in soccer is questionable due to the dynamic nature of these processes in young and adolescent players. To date, only a few studies have longitudinally modelled developmental trajectories of functional characteristics in youth soccer players, yet none have captured the entire typical age range of soccer development programs (5–20 years). Furthermore, these studies have often failed to take into account the multidimensional nature of talent identification and development processes. Methods: This study used segmented linear models to map the periods of accelerated and decelerated development of motor competence and physical fitness in a large sample (2228 players with 6120 observations) of high level Belgian youth soccer players between 5–20 years. Results: The segmented models revealed that motor competence showed faster development well before the average estimated Age at Peak Height Velocity. Agility, lower body explosive power, intermittent endurance, and straight line running speed showed continuous development that does not slow down until players are between 15–17 years old. Conclusion: This study highlights the dynamic nature of talent development and provides practical considerations for those involved in talent identification and development programs in youth soccer.

[1]  Dave Collins,et al.  Comment on “Talent identification and promotion programmes of Olympic athletes” , 2011, Journal of sports sciences.

[2]  A. Williams,et al.  Perceptual skill in soccer: Implications for talent identification and development , 2000, Journal of sports sciences.

[3]  M. Lenoir,et al.  Talent Identification and Development Programmes in Sport , 2008, Sports medicine.

[4]  K. Mills,et al.  What is the most accurate and reliable methodological approach for predicting peak height velocity in adolescents? A systematic review. , 2017, Journal of science and medicine in sport.

[5]  G. Beunen,et al.  An assessment of maturity from anthropometric measurements. , 2002, Medicine and science in sports and exercise.

[6]  V. Segers,et al.  Stature and Jumping Height Are Required in Female Volleyball, but Motor Coordination Is a Key Factor for Future Elite Success , 2015, Journal of strength and conditioning research.

[7]  Philip J. Morgan,et al.  Fundamental Movement Skills in Children and Adolescents , 2010, Sports medicine.

[8]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[9]  Robert M Malina,et al.  Youth soccer players, 11–14 years: Maturity, size, function, skill and goal orientation , 2009, Annals of human biology.

[10]  M. Lenoir,et al.  A Retrospective Study on Anthropometrical, Physical Fitness, and Motor Coordination Characteristics That Influence Dropout, Contract Status, and First-Team Playing Time in High-Level Soccer Players Aged Eight to Eighteen Years , 2015, Journal of strength and conditioning research.

[11]  A. Williams,et al.  Talent identification and development in soccer , 2000, Journal of sports sciences.

[12]  H. Akaike Prediction and Entropy , 1985 .

[13]  A. Williams,et al.  A multidisciplinary approach to talent identification in soccer , 2000, Journal of sports sciences.

[14]  R. Malina,et al.  Modeling developmental changes in functional capacities and soccer-specific skills in male players aged 11-17 years. , 2012, Pediatric exercise science.

[15]  Jan Bourgois,et al.  The relationship between peak height velocity and physical performance in youth soccer players , 2006, Journal of sports sciences.

[16]  C. Visscher,et al.  Development of dribbling in talented youth soccer players aged 12–19 years: A longitudinal study , 2010, Journal of sports sciences.

[17]  Peter Krustrup,et al.  The yo-yo intermittent recovery test: physiological response, reliability, and validity. , 2003, Medicine and science in sports and exercise.

[18]  R. Malina,et al.  Discrimination of u-14 soccer players by level and position. , 2010, International journal of sports medicine.

[19]  D T Pearson,et al.  Predictability of physiological testing and the role of maturation in talent identification for adolescent team sports. , 2006, Journal of science and medicine in sport.

[20]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[21]  K. Davids,et al.  Expert Performance in Sport and the Dynamics of Talent Development , 2010, Sports medicine.

[22]  Matthieu Lenoir,et al.  Modeling developmental changes in yo-yo intermittent recovery test level 1 in elite pubertal soccer players. , 2014, International journal of sports physiology and performance.

[23]  Ernst J. Kiphard,et al.  Körperkoordinationstest für Kinder , 1974 .

[24]  Thomas Reilly,et al.  Anthropometric and fitness characteristics of international, professional and amateur male graduate soccer players from an elite youth academy. , 2010, Journal of science and medicine in sport.

[25]  M. Lenoir,et al.  The Applicability of a Short Form of the Körperkoordinationstest für Kinder for Measuring Motor Competence in Children Aged 6 to 11 Years , 2017 .

[26]  M. Muggeo,et al.  segmented: An R package to Fit Regression Models with Broken-Line Relationships , 2008 .