There has been an explosion of data collected about sports. Because such data is extremely
rich and complex, machine learning is increasingly being used to extract actionable insights …

Background This study aimed to analyze the extent of fatigue responses after female soccer
matches and the ensuing recovery time course of performance, physiological, and …

Objective To explore the beliefs and perceptions of professional female footballers and staff
regarding injury prevention and performance protection in professional women's football …

The expected goal models have gained popularity, but their interpretability is often limited,
especially when trained using black-box methods. Explainable artificial intelligence tools …

Analysis of the underlying tactics and teamwork in women's football is rare and it is unknown
how professional women's teams cooperate to be successful. The aim of this study was to …

There has been an explosion of data collected about sports. Because such data is extremely
rich and complicated, machine learning is increasingly being used to extract actionable …

In association football, predicting the likelihood and outcome of a shot at a goal is useful but
challenging. Expected goal (xG) models can be used in a variety of ways including …

Technical data such as event or optical tracking data from men's football (soccer) matches
have been extensively analysed using techniques from AI on a variety of different levels …

Improved pass accuracy is a prominent determinant of success in football. It demands an
effective interaction of complex behavioral and cortical dynamics. Exploring differences in …

Recent research has developed understanding of the technical and tactical determinants of
success in elite women's soccer, however a lack of research exists on analysing how elite …