Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer Players

Youth soccer academies are dominated by the older players in each annual age cohort because they are judged to be better at the time of selection. Failing to identify talented players because they are simply younger in their cohort is a problem of both discrimination and poor practice. One potential...

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Main Authors: Thiago V. Camata, Andrew H. Hunter, Nicholas M. A. Smith, Mathew S. Crowther, Paulo R. P. Santiago, Robbie S. Wilson
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/15/9/4658
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author Thiago V. Camata
Andrew H. Hunter
Nicholas M. A. Smith
Mathew S. Crowther
Paulo R. P. Santiago
Robbie S. Wilson
author_facet Thiago V. Camata
Andrew H. Hunter
Nicholas M. A. Smith
Mathew S. Crowther
Paulo R. P. Santiago
Robbie S. Wilson
author_sort Thiago V. Camata
collection DOAJ
description Youth soccer academies are dominated by the older players in each annual age cohort because they are judged to be better at the time of selection. Failing to identify talented players because they are simply younger in their cohort is a problem of both discrimination and poor practice. One potential method for addressing such biases is to develop and use age- and size-corrected assessments of individual players using traits closely associated with match success. In this study, we quantified the relationship between age and size with individual passing and control performance in six different tests for 170 players between 10 and 20 years old from a Tier 1 academy in Brazil. Passing tests were significantly repeatable and performance varied among tests (df = 5; F = 432.2; <i>p</i> < 0.001). Overall passing performance (PC<sub>P1</sub>)—based on all tests—was significantly positively associated with age (R<sup>2</sup> = 0.42, t = 10.67; <i>p</i> < 0.001), height (R<sup>2</sup> = 0.19, t = 6.13; <i>p</i> < 0.001) and mass (R<sup>2</sup> = 0.23, t = 6.90, <i>p</i> < 0.001). In addition, tests of passing and control could discriminate among groups of differing playing levels (test 1: F<sub>(2,116)</sub> = 55.2, <i>p</i> < 0.001; test 3: F<sub>(2,116)</sub> = 12.0, <i>p</i> < 0.001). Normative algorithms from this study can be used to compare athletes during selection trials and against an elite group, after taking age and size into account, and using such algorithms could vastly reduce the insipid age-biases that plague youth football.
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spelling doaj-art-674377cdf3af465895b058ca5b107d302025-08-20T01:49:50ZengMDPI AGApplied Sciences2076-34172025-04-01159465810.3390/app15094658Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer PlayersThiago V. Camata0Andrew H. Hunter1Nicholas M. A. Smith2Mathew S. Crowther3Paulo R. P. Santiago4Robbie S. Wilson5School of the Environment, The University of Queensland, Brisbane, QLD 4072, AustraliaSchool of the Environment, The University of Queensland, Brisbane, QLD 4072, AustraliaSchool of the Environment, The University of Queensland, Brisbane, QLD 4072, AustraliaSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, AustraliaSchool of Physical Education and Sport of Ribeirão Preto, University of São Paulo, São Paulo 14040-900, BrazilSchool of the Environment, The University of Queensland, Brisbane, QLD 4072, AustraliaYouth soccer academies are dominated by the older players in each annual age cohort because they are judged to be better at the time of selection. Failing to identify talented players because they are simply younger in their cohort is a problem of both discrimination and poor practice. One potential method for addressing such biases is to develop and use age- and size-corrected assessments of individual players using traits closely associated with match success. In this study, we quantified the relationship between age and size with individual passing and control performance in six different tests for 170 players between 10 and 20 years old from a Tier 1 academy in Brazil. Passing tests were significantly repeatable and performance varied among tests (df = 5; F = 432.2; <i>p</i> < 0.001). Overall passing performance (PC<sub>P1</sub>)—based on all tests—was significantly positively associated with age (R<sup>2</sup> = 0.42, t = 10.67; <i>p</i> < 0.001), height (R<sup>2</sup> = 0.19, t = 6.13; <i>p</i> < 0.001) and mass (R<sup>2</sup> = 0.23, t = 6.90, <i>p</i> < 0.001). In addition, tests of passing and control could discriminate among groups of differing playing levels (test 1: F<sub>(2,116)</sub> = 55.2, <i>p</i> < 0.001; test 3: F<sub>(2,116)</sub> = 12.0, <i>p</i> < 0.001). Normative algorithms from this study can be used to compare athletes during selection trials and against an elite group, after taking age and size into account, and using such algorithms could vastly reduce the insipid age-biases that plague youth football.https://www.mdpi.com/2076-3417/15/9/4658skillsoccerpassingperformancedevelopmenttalent identification
spellingShingle Thiago V. Camata
Andrew H. Hunter
Nicholas M. A. Smith
Mathew S. Crowther
Paulo R. P. Santiago
Robbie S. Wilson
Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer Players
Applied Sciences
skill
soccer
passing
performance
development
talent identification
title Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer Players
title_full Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer Players
title_fullStr Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer Players
title_full_unstemmed Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer Players
title_short Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer Players
title_sort using age and size corrected measures of technical skill to better assess the performances of youth soccer players
topic skill
soccer
passing
performance
development
talent identification
url https://www.mdpi.com/2076-3417/15/9/4658
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