Activity profile of high-level Australian lacrosse players

Polley, Chris S. and Cormack, Stuart J. and Gabbett, Tim J. and Polglaze, Ted (2015) Activity profile of high-level Australian lacrosse players. Journal of Strength and Conditioning Research, 29 (1). pp. 126-136. ISSN 1064-8011


Despite lacrosse being one of the fastest growing team sports in the world, there is a paucity of information detailing the activity profile of high level players. Microtechnology systems (global positioning systems (GPS) and accelerometers) provide the opportunity to obtain detailed information on the activity profile in lacrosse. Therefore, this study aimed to analyze the activity profile of lacrosse match-play using microtechnology. Activity profile variables assessed relative to minutes of playing time included relative distance (mmin), distance spent standing (0-0.1 ms), walking (0.2-1.7 ms), jogging (1.8-3.2 ms), running (3.3-5.6 ms), sprinting (≥5.7 ms), number of high, moderate, low accelerations and decelerations and player load (PLmin), calculated as the square root of the sum of the squared instantaneous rate of change in acceleration in three vectors (medio-lateral, anterior-posterior, vertical). Activity was recorded from fifteen lacrosse players over four matches during a national tournament. Players were separated into positions of attack, midfield, or defense. Differences (ES ± 90% CI) between positions and periods of play were considered likely positive when there was ≥75% likelihood of the difference exceeding an effect size threshold of 0.2. Midfielders had likely higher (mean ± SD) m·min (100 ± 11) compared to attackers (87 ± 14; ES = 0.89 ± 1.04) and defenders (79 ± 14; ES = 1.54 ± 0.94) and more moderate and high accelerations and decelerations. Almost all variables across positions were reduced in quarter four compared to quarter one. Coaches should accommodate for positional differences when preparing lacrosse players for competition.

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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: 25 May 2017 05:31
Last Modified: 28 Aug 2020 03:10
Uncontrolled Keywords: analysis; global positioning systems; match-play; performance; positional differences; tournament; acceleration; athletic performance; deceleration; geographic information systems; humans; jogging; male; microtechnology; racquet sports; running; walking
Fields of Research (2008): 11 Medical and Health Sciences > 1106 Human Movement and Sports Science > 110699 Human Movement and Sports Science not elsewhere classified
Fields of Research (2020): 42 HEALTH SCIENCES > 4207 Sports science and exercise > 420799 Sports science and exercise not elsewhere classified
Socio-Economic Objectives (2008): C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
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