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:10.5114/biolsport.2021.102805

eISSN: 2083-1862
ISSN: 0860-021X

Biology of Sport

Current Issue Manuscripts accepted About the journal Editorial board Abstracting and indexing Archive Ethical standards and procedures Contact Instructions for authors Journal's Reviewers Special Information

Editorial System

Submit your Manuscript

Editorial Policies

Sarajevo Declaration on Integrity and Visibility of Scholarly Publications

Open access

1/2022
vol. 39

Send email

Copy url:

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}

School of Health, Medical, and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
Human Exercise and Training Laboratory, Central Queensland University, Rockhampton, Queensland, Australia
Appleton Institute for Behavioural Sciences, Central Queensland University, Adelaide, South Australia, Australia
School of Medicine, University of Utah, Salt Lake City, Utah, United States

Biol Sport. 2022;39(1):95–100.

DOI: https://doi.org/10.5114/biolsport.2021.102805

Online publish date: 2021/03/06

View full text Get citation

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:

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

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

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}