Background Does younger involvement in talent promotion programs (TPPs) facilitate the
attainment of higher performance levels? This question is the subject of the present meta …

Tracking and measuring elements of performance is a well-established feature of practice in
football academies. Player characteristics are considered, tracked, and measured using a …

Performance analysis based on artificial intelligence together with game-related statistical
models aims to provide relevant information before, during and after a competition. Due to …

This study determined the contributors to soccer technical skills in grassroots youth soccer
players using a machine learning approach. One hundred and sixty-two boys aged 7 to 14 …

The purpose of this study was to test the content validity of the men's U21 football physical
test. This research is a quantitative descriptive research with survey techniques using the …

In recent times, research and technological advancements have opened an unprecedented
window of opportunity for sports science to play a pivotal role in the holistic well-being of …

We are delighted to share our Special Issue on Talent Identification and Development in
Youth Sports. In 2020, the editorial team had several informal discussions about the growing …

The aim of this study was to test a machine learning (ML) model to predict high-intensity
actions and body impacts during youth football training. Sixty under-15,-17, and-19 sub-elite …

A large body of evidence highlights the importance of psycho-behavioural skills as a key
feature of talent development in sport. The purpose of this study was to explore pedagogic …

The assessment of sprint-like sports techniques and tactics involves evaluating their
underlying running principles, structures, functions, methods, and real-world applications …