Literature DB >> 25456252

Classifying young soccer players by training performances.

Eduardo A Abade1, Bruno V Gonçalves, Alexandra M Silva, Nuno M Leite, Carlo Castagna, Jaime E Sampaio.   

Abstract

Players within the same age group may present different physical and physiological profiles. This study classified young soccer players according to their physical and physiological profiles obtained during the training sessions and compared classification by age and playing position criteria. 151 male elite Portuguese soccer players (under 15, under 17, and under 19 years old) participated. Time-motion and body acceleration and deceleration data were collected using GPS technology with heart rate monitored continuously across the selected training sessions. The data were grouped using two-step cluster analysis to classify athletes. A repeated-measures factorial ANOVA was performed to identify differences in the variables. Three clusters comprised 15.2%, 37.1%, and 47.7% of the total sample, respectively. Players of the same ages and playing experience had different performance profiles. Grouping players with similar physiological profiles during training sessions may allow coaches to balance oppositions and reduce the variability of the physiological outcomes.

Mesh:

Year:  2014        PMID: 25456252     DOI: 10.2466/10.25.PMS.119c31z8

Source DB:  PubMed          Journal:  Percept Mot Skills        ISSN: 0031-5125


  4 in total

1.  Uniform Manifold Approximation and Projection Analysis of Soccer Players.

Authors:  António M Lopes; José A Tenreiro Machado
Journal:  Entropy (Basel)       Date:  2021-06-23       Impact factor: 2.524

2.  Comparison of technical and physical activities between 8 vs. 8 and 11 vs. 11 games in young Korean soccer players.

Authors:  Seong Hwan Oh; Chang Hwa Joo
Journal:  J Exerc Rehabil       Date:  2018-04-26

3.  Exploring how playing football with different age groups affects tactical behaviour and physical performance.

Authors:  Bruno Figueira; Bruno Gonçalves; Nerijus Masiulis; Jaime Sampaio
Journal:  Biol Sport       Date:  2017-11-23       Impact factor: 2.806

Review 4.  The use of technology in tracking soccer players' health performance: a scoping review.

Authors:  Jassim Almulla; Abdulrahman Takiddin; Mowafa Househ
Journal:  BMC Med Inform Decis Mak       Date:  2020-08-11       Impact factor: 2.796

  4 in total

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