Accelerometer-based network analysis in female soccer: performance levels and injuries

This dataset examines the complexity of network structures in professional
and collegiate women’s soccer teams using directed network analysis based
on tri-axial acceleration data. The study involved one professional team
and one university-level team, with data collected from matches during
their respective seasons. Directed network analysis identified dyads and
triads, representing cooperative interactions among players, while
movement entropy quantified the influence of individual movements within
the team. Network diversity, defined as the variability in activation
probabilities of dyads and triads, was calculated to evaluate the tactical
dynamics and cooperative behaviors of the teams. Data were collected using
GNSS devices equipped with tri-axial accelerometers, ensuring precise
measurement of movement intensity. The findings provide insights into the
structural and functional differences in team coordination between
professional and collegiate levels. The dataset is anonymized and adheres
to ethical guidelines, enabling reproducibility and further exploration of
team dynamics in sports science.