Quantification of workload and characterisation of key performance factors in elite adolescent female volleyball players using machine learning

Authors

Robin Candau (ORCID: https://orcid.org/0000-0002-5930-8750)
Jacques Prioux (ORCID: https://orcid.org/0000-0002-5380-6767)
Olivier Maurelli
Sami Äyrämö (ORCID: https://orcid.org/0000-0002-7532-2771)
Théo Bouzigues (ORCID: https://orcid.org/0000-0002-2804-019X)

Institutions

Université Rennes 2 (FR)
Laboratory of Pathogens and Host Immunity (FR)
Fédération française de cardiologie (FR)
École Normale Supérieure de Rennes (FR)
Laboratoire Mouvement Sport Santé (FR)
All Star Volleyball Association (US)
Dynamique Musculaire et Métabolisme (FR)
University of Jyväskylä (FI)

Publication Details

Journal: International Journal of Performance Analysis in Sport
Published: 2024-11-24
DOI: https://doi.org/10.1080/24748668.2024.2430100
Citations: 1
Primary Topic: Sports Performance and Training
Type: article
Field-Weighted Citation Impact: 0.48

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article

Quantification of workload and characterisation of key performance factors in elite adolescent female volleyball players using machine learning

Robin Candau, Jacques Prioux, Olivier Maurelli, Sami Äyrämö et al.

Nov 24, 2024

1 citations

International Journal of Performance Analysis in Sport

Sports Performance and Training

0.48

article

Quantification of workload and characterisation of key performance factors in elite adolescent female volleyball players using machine learning

Robin Candau, Jacques Prioux, Olivier Maurelli, Sami Äyrämö, Théo Bouzigues

November 24, 2024article en

1 citations

Abstract

No abstract available for this paper.

International Journal of Performance Analysis in SportVol. 25(4)

Université Rennes 2 (FR), Laboratory of Pathogens and Host Immunity (FR), Fédération française de cardiologie (FR), École Normale Supérieure de Rennes (FR), Laboratoire Mouvement Sport Santé (FR), All Star Volleyball Association (US), Dynamique Musculaire et Métabolisme (FR), University of Jyväskylä (FI)

Gender equality

Openalex Percentile: Top 34%

Sports Performance and Training

0.48

DOI Open Access PDF OpenAlex

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Quantification of workload and characterisation of key performance factors in elite adolescent female volleyball players using machine learning — Robin Candau, Jacques Prioux, et al. · International Journal of Performance Analysis in Sport (2024) | TGRS Research Map | TGRS