Zusammenfassung

Player load is a variable derived from GPS technology that quantifies external load demands. Sprints and change-of-direction movements are high-intensity activities that place stress on the body. Research is needed to determine which sprint metrics may relate to and predict player load during practice sessions in collegiate women’s soccer players, as coaches could manipulate the most impactful variables. This study analyzed which sprint metrics related to GPS player load in women’s soccer players from one Division I team. Data from 19 practice sessions for 18 field players were analyzed. Players wore GPS sensors during all training sessions, and the variables assessed were player load, sprint count, sprint volume, sprint distance, average top speed, maximum top speed, and the number of accelerations and decelerations in different speed zones (±1, ±2, ±3, ±4, ±5 m/s(2)). Pearson’s correlations (p < 0.05) analyzed relationships between the sprint variables and player load. Stepwise regression analyses (p < 0.05) determined if any metrics predicted player load. The results indicated significant relationships between player load and sprint count, maximum top speed, sprint distance, sprint volume, number of decelerations at –1, –2, and –3 m/s(2), and accelerations at 1, 2, and 5 m/s(2)(r = 0.512–0.861, p ≤ 0.025). Sprint distance and decelerations at 1 m/s(2)predicted player load (p = 0.001, r(2)= 0.867). Maximal sprinting and decelerations and accelerations at different speeds were significant contributors to player load in collegiate women’s soccer players. Sprint distance, decelerations, and accelerations could be targeted in training drills via dimension and movement manipulation to adjust training intensity for collegiate women’s soccer players.