Biology of Sport (Mar 2021)

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

  • Jordan L. Fox,
  • Robert Stanton,
  • Cody J. O’Grady,
  • Masaru Teramoto,
  • Charli Sargent,
  • Aaron T. Scanlan

DOI
https://doi.org/10.5114/biolsport.2021.102805
Journal volume & issue
Vol. 39, no. 1
pp. 95 – 100

Abstract

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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.

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