This study has been in the making for the last few years
✅ >400 elite youth ⚽️ players
✅ tracked up to 7 years
✅ multidisciplinary approach: physical & physiological, psychological, skill-, health-, age- & position-related metrics
✅ML classifiers to predict selection status
✅ >400 elite youth ⚽️ players
✅ tracked up to 7 years
✅ multidisciplinary approach: physical & physiological, psychological, skill-, health-, age- & position-related metrics
✅ML classifiers to predict selection status
Prediction of talent selection in elite male youth soccer using machine learning ⚽️📈
High importance:
▶️ physiology (e.g. linear sprint) 🏃♂️
▶️ soccer-specific skill ⚽️
Medium importance:
▶️ psychology 🧠
📰 tandfonline.com/doi/full/10.10…
@RufLudwig @stefan_thiem @JSportsSciView quoted post on X
