The unpredictable talent selection in youth beach handball players

This study identified key variables to differentiate selected and non-selected Brazilian young beach handball players using non-linear approaches. A total of 64 players (16.5 ± 0.8 years-old; 33 male) participated in the Brazilian National Team preparatory stage for the Beach Handball World Championships (2017), and were grouped in selected and non-selected players. Participants were assessed for anthropometrics and body composition, countermovement jump, and ball speed throwing. Comparisons between groups were tested, and the outcomes were analyzed using logistic regression (SPSS 25.0; p < 0.05). Network analysis was used to establish systemic non-linear interrelationships between variables, and the Expected Influence was calculated (Rstudio). For male players, increments of 1 kg in fat-free mass and 1 m/s in ball speed, increased the odds of being selected by 44% and 17 times, respectively. For females, 1 cm increase in jump height and in palm diameter, increased the odds of being selected by 29.5%, and 6.7 times, respectively. The non-linear approach showed body mass as the expected influence variable for both selected and non-selected male and female players, differently of those variables observed using the logistic regression. The results reflect the multidimensional predictors of talent in beach handball, and represent important finding for coaches and stakeholders.

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Publication Details

Journal
Journal of Sports Sciences
Published
2025-12-18
DOI
https://doi.org/10.1080/02640414.2025.2605824
Primary Topic
Sports Performance and Training
Type
article
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article

The unpredictable talent selection in youth beach handball players

Alexandre Frey Pinto de Almeida, Alan Nevill, Clarice Martins, Fábio Yuzo Nakamura et al.
Journal of Sports Sciences
Sports Performance and Training
article

The unpredictable talent selection in youth beach handball players

Alexandre Frey Pinto de Almeida, Alan Nevill, Clarice Martins, Fábio Yuzo Nakamura, Michael Joseph Duncan, Luís Lemos, Filipe Casanova, Guilherme Cortoni Caporal, Vinícius da Silva Lessa de Oliveira
article en

Abstract

This study identified key variables to differentiate selected and non-selected Brazilian young beach handball players using non-linear approaches. A total of 64 players (16.5 ± 0.8 years-old; 33 male) participated in the Brazilian National Team preparatory stage for the Beach Handball World Championships (2017), and were grouped in selected and non-selected players. Participants were assessed for anthropometrics and body composition, countermovement jump, and ball speed throwing. Comparisons between groups were tested, and the outcomes were analyzed using logistic regression (SPSS 25.0; p < 0.05). Network analysis was used to establish systemic non-linear interrelationships between variables, and the Expected Influence was calculated (Rstudio). For male players, increments of 1 kg in fat-free mass and 1 m/s in ball speed, increased the odds of being selected by 44% and 17 times, respectively. For females, 1 cm increase in jump height and in palm diameter, increased the odds of being selected by 29.5%, and 6.7 times, respectively. The non-linear approach showed body mass as the expected influence variable for both selected and non-selected male and female players, differently of those variables observed using the logistic regression. The results reflect the multidimensional predictors of talent in beach handball, and represent important finding for coaches and stakeholders.

Journal of Sports Sciences
University of Wolverhampton (GB), Universidade Estadual de Campinas (UNICAMP) (BR), Universidade do Porto (PT), Confederation College (CA), Instituto Superior da Maia (PT), Coventry University (GB), Universidade Lusófona (PT)
Openalex Percentile: Top 49%
Sports Performance and Training
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