Variability of PlayerLoad, bowling velocity, and performance execution in fast bowlers across repeated bowling spells
Article
Article Title | Variability of PlayerLoad, bowling velocity, and performance execution in fast bowlers across repeated bowling spells |
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ERA Journal ID | 40358 |
Article Category | Article |
Authors | McNamara, Dean J. (Author), Gabbett, Tim J. (Author), Chapman, Paul (Author), Naughton, Geraldine (Author) and Farhart, Patrick (Author) |
Journal Title | International Journal of Sports Physiology and Performance |
Journal Citation | 10 (8), pp. 1009-1014 |
Number of Pages | 6 |
Year | 2015 |
Publisher | Human Kinetics Publishers |
Place of Publication | United States |
ISSN | 1555-0265 |
1555-0273 | |
Digital Object Identifier (DOI) | https://doi.org/10.1123/ijspp.2014-0497 |
Web Address (URL) | http://content.ebscohost.com/ContentServer.asp?T=P&P=AN&K=110787530&S=R&D=s3h&EbscoContent=dGJyMMvl7ESeqLc4y9f3OLCmr0%2BeprBSsKi4S7eWxWXS&ContentCustomer=dGJyMPPn833j5LmF39%2FsU%2BPe7Yvy |
Abstract | Purpose: The use of wearable microtechnology to monitor the external load of fast bowling is challenged by the inherent variability of bowling techniques between bowlers. This study assessed the between-bowlers variability in PlayerLoad, bowling velocity, and performance execution across repeated bowling spells. Methods: Seven national-level fast bowlers completed two 6-over bowling spells at a batter during a competitive training session. Key dependent variables were PlayerLoad calculated with a MinimaxX microtechnology unit, ball velocity, and bowling execution based on a predetermined bowling strategy for each ball bowled. The between-bowlers coefficient of variation (CV), repeated-measures ANOVA, and smallest worthwhile change were calculated over the 2 repeated 6-over bowling spells and explored across 12-over, 6-over, and 3-over bowling segments. Results: From the sum of 6 consecutive balls, the between-bowlers CV for relative peak PlayerLoad was 1.2% over the 12-over bowling spell (P = .15). During this 12-over period, bowling-execution (P = .43) scores and ball-velocity (P = .31) CVs were calculated as 46.0% and 0.4%, respectively. Conclusions: PlayerLoad was found to be stable across the repeated bowling spells in the fast-bowling cohort. Measures of variability and change across the repeated bowling spells were consistent with the performance measure of ball velocity. The stability of PlayerLoad improved when assessed relative to the individual's peak PlayerLoad. Only bowling-execution measures were found to have high variability across the repeated bowling spells. Player-Load provides a stable measure of external workload between fast bowlers. |
Keywords | microsensors; team sport; training; workload; accelerometry; adult; athletic performance; competitive behavior; geographic information systems; humans; physical education and training; sports; task performance and analysis; young adult |
ANZSRC Field of Research 2020 | 420799. Sports science and exercise not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Australian Catholic University |
New South Wales Cricket, Australia | |
City Edge Physio, Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q43v8/variability-of-playerload-bowling-velocity-and-performance-execution-in-fast-bowlers-across-repeated-bowling-spells
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