Variability of PlayerLoad, bowling velocity, and performance execution in fast bowlers across repeated bowling spells

McNamara, Dean J. and Gabbett, Tim J. and Chapman, Paul and Naughton, Geraldine and Farhart, Patrick (2015) Variability of PlayerLoad, bowling velocity, and performance execution in fast bowlers across repeated bowling spells. International Journal of Sports Physiology and Performance, 10 (8). pp. 1009-1014. ISSN 1555-0265


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.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 29 May 2017 06:31
Last Modified: 29 May 2017 06:31
Uncontrolled 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
Fields of Research (2008): 11 Medical and Health Sciences > 1106 Human Movement and Sports Science > 110699 Human Movement and Sports Science not elsewhere classified
Socio-Economic Objectives (2008): C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
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