External Workload Can Be Anticipated During 5 vs. 5 Games-Based Drills in Basketball Players: An Exploratory Study

Cody J. O’Grady, Vincent J. Dalbo, Masaru Teramoto, Jordan L. Fox and Aaron T. Scanlan
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Cody J. O’Grady: School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD 4702, Australia
Vincent J. Dalbo: School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD 4702, Australia
Masaru Teramoto: Division of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT 84108, USA
Jordan L. Fox: School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD 4702, Australia
Aaron T. Scanlan: School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD 4702, Australia

IJERPH, 2020, vol. 17, issue 6, 1-11

Abstract: This study determined whether external workload could be anticipated during 5 vs. 5 games-based drills in basketball. Thirteen semi-professional, male basketball players were monitored during 5 vs. 5 training drills across the season. External workload was determined using PlayerLoad™ (AU?min −1 ). The reference workload for each drill was calculated across all sessions, using bootstrapping. The bootstrap mean workload and 95% confidence intervals (CI) were then calculated for session 1, sessions 1–2, and continued for remaining sessions (1–3, 1–4, etc.), and were compared with those of the reference workload. The minimum sessions to anticipate workload for each drill was identified when the first normative value fell within ±5% or ±10% of the reference workload 95% CI. The minimum sessions were then tested to determine the accuracy to which workload could be anticipated. Three to four sessions were needed to anticipate workload within ±5%, while 2–3 sessions were needed to anticipate workload within ±10%. External workload was anticipated in 0–55% of future sessions using an error range of ±5%, and in 58–89% of sessions using an error range of ±10%. External workload during 5 vs. 5 games-based drills can be anticipated in most sessions using normative values established during a short-term monitoring period with an error range of ±10%.

Keywords: microsensor; accelerometer; PlayerLoad; team sport; small-sided games (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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