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

• Main Authors: Jordan L. Fox (Author), Robert Stanton (Author), Cody J. O'Grady (Author), Masaru Teramoto (Author), Charli Sargent (Author), Aaron T. Scanlan (Author)
• Format: Book
• Published: Termedia Publishing House, 2021-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary

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 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 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.

Item Description

0860-021X
2083-1862
10.5114/biolsport.2021.102805