A Multidisciplinary Investigation into the Talent Development Processes at an English Football Academy: A Machine Learning Approach

Adam L. Kelly; Craig A. Williams; Rob Cook; Sergio Lorenzo Jiménez Sáiz; Mark R. Wilson

doi:10.3390/sports10100159

A Multidisciplinary Investigation into the Talent Development Processes at an English Football Academy: A Machine Learning Approach

Adam L. Kelly^*, Craig A. Williams, Rob Cook, Sergio Lorenzo Jiménez Sáiz, Mark R. Wilson

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

29 Citations (SciVal)

Original language	English
Article number	159
Journal	Sports
Volume	10
Issue number	10
DOIs	https://doi.org/10.3390/sports10100159
Publication status	Published (VoR) - Oct 2022

Funding

This research was co-funded by the University of Exeter, College of Life & Environmental Sciences, the Open Innovation Platform at the University of Exeter, and Exeter City Football Club Academy. Thanks to the players, parents, and staff at Exeter City Football Club Academy for their participation and support in this project.

Keywords

elite youth soccer
expertise
physical characteristics
psychological characteristics
talent identification
technical and tactical

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10.3390/sports10100159

Cite this

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title = "A Multidisciplinary Investigation into the Talent Development Processes at an English Football Academy: A Machine Learning Approach",

keywords = "elite youth soccer, expertise, physical characteristics, psychological characteristics, talent identification, technical and tactical",

author = "Kelly, \{Adam L.\} and Williams, \{Craig A.\} and Rob Cook and S{\'a}iz, \{Sergio Lorenzo Jim{\'e}nez\} and Wilson, \{Mark R.\}",

note = "Funding Information: This research was co-funded by the University of Exeter, College of Life \& Environmental Sciences, the Open Innovation Platform at the University of Exeter, and Exeter City Football Club Academy. Thanks to the players, parents, and staff at Exeter City Football Club Academy for their participation and support in this project. Publisher Copyright: {\textcopyright} 2022 by the authors.",

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AU - Cook, Rob

AU - Sáiz, Sergio Lorenzo Jiménez

AU - Wilson, Mark R.

N1 - Funding Information: This research was co-funded by the University of Exeter, College of Life & Environmental Sciences, the Open Innovation Platform at the University of Exeter, and Exeter City Football Club Academy. Thanks to the players, parents, and staff at Exeter City Football Club Academy for their participation and support in this project. Publisher Copyright: © 2022 by the authors.

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KW - elite youth soccer

KW - expertise

KW - physical characteristics

KW - psychological characteristics

KW - talent identification

KW - technical and tactical

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A Multidisciplinary Investigation into the Talent Development Processes at an English Football Academy: A Machine Learning Approach

Funding

Keywords

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