Are acute player workloads associated with in-game performance in basketball?

Are acute player workloads associated with in-game performance in basketball?

Blog Article

To investigate associations between acute workload and in-game performance in basketball.Eight semi-professional, male basketball players were monitored during all training sessions (N = 28) and games (N = 18) across the season.External workload was lovesense 3 determined using absolute (arbitrary units[AU]) and relative (AU·min-1) PlayerLoadTM (PL), and absolute (count) and relative (count·min-1) low-intensity, medium intensity, high-intensity, and total Inertial Movement Analysis (IMA) events (accelerations, decelerations, changes of-direction, and jumps).Internal workload was determined using absolute and relative Summated-Heart-Rate Zones workload, session-rating of perceived exertion, rating of perceived exertion, and time (min) spent working > 90% of maximal heart rate.In-game performance was indicated by the player efficiency statistic.

Repeated measures correlations were used to determine associations between acute workload variables (across the previous 7 days) and player efficiency.Relative PL (r = 0.13, small) and high-intensity IMA events (r = 0.13, small) possessed the strongest associations with player efficiency here of the investigated workload variables (P > 0.05).

All other associations were trivial in magnitude (P > 0.05).Given the trivial-small associations between all external and internal workload variables and player efficiency, basketball practitioners should not rely solely on monitoring acute workloads to determine performance potential in players.