Biology of Sport
eISSN: 2083-1862
ISSN: 0860-021X
Biology of Sport
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1/2022
vol. 39
 
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abstract:
Original paper

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

Jordan L. Fox
1, 2
,
Robert Stanton
1, 3
,
Cody J. O’Grady
1, 2
,
Masaru Teramoto
4
,
Charli Sargent
3
,
Aaron T. Scanlan
1, 2

1.
School of Health, Medical, and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
2.
Human Exercise and Training Laboratory, Central Queensland University, Rockhampton, Queensland, Australia
3.
Appleton Institute for Behavioural Sciences, Central Queensland University, Adelaide, South Australia, Australia
4.
School of Medicine, University of Utah, Salt Lake City, Utah, United States
Biol Sport. 2022;39(1):95–100.
Online publish date: 2021/03/06
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PlumX metrics:
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, mediumintensity, high-intensity, and total Inertial Movement Analysis (IMA) events (accelerations, decelerations, changesof-direction, and jumps). Internal workload was determined using absolute and relative Summated-Heart-RateZones 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.
keywords:

Team sport, Training prescription, Microsensor, RPE, Heart rate

 
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