Literature DB >> 21358424

Performance analysis of elite Rugby League match play using global positioning systems.

Christopher P McLellan1, Dale I Lovell, Gregory C Gass.   

Abstract

The aim of this study was (a) to examine the physiological demands of competitive Rugby League match play using portable Global Positioning Systems (GPSs) to monitor players' movement patterns and heart rate (HR) and (b) examine positional comparisons to determine if players' physiological requirements are influenced by their playing position during Rugby League match play. Twenty-two elite male Rugby League players were monitored during 5 regular season competition matches using portable GPS software. There was no difference in the total distance traveled between backs (5,573 ± 1,128 m) and forwards (4,982 ± 1,185 m) during match play. Backs and forwards had an average HR of approximately 80% of their maximum (162 ± 11 and 165 ± 12 b · min(-1), respectively) throughout each match. Backs achieved greater maximum running speed (8.6 ± 0.7 m · s(-1)), completed a greater number of sprints (18 ± 6), had less time between sprints (3.2 ± 1.1 minutes), achieved a greater total duration of sprinting (44.7 ± 9.1 seconds), and covered more distance sprinting (321 ± 74 m) than forwards did (6.8 ± 0.7 m · s(-1), 11 ± 5, 5.2 ± 2.2 minutes, 25.8 ± 9.2 seconds, and 153 ± 38 m, respectively). The GPS successfully provided real-time feedback to identify significant positional differences in distances covered, running speed characteristics, and the physiological demands of competitive Rugby League match play.

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Year:  2011        PMID: 21358424     DOI: 10.1519/JSC.0b013e3181ddf678

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  21 in total

Review 1.  Application of Global Positioning System and Microsensor Technology in Competitive Rugby League Match-Play: A Systematic Review and Meta-analysis.

Authors:  Joanne Hausler; Mark Halaki; Rhonda Orr
Journal:  Sports Med       Date:  2016-04       Impact factor: 11.136

Review 2.  Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review.

Authors:  Cloe Cummins; Rhonda Orr; Helen O'Connor; Cameron West
Journal:  Sports Med       Date:  2013-10       Impact factor: 11.136

Review 3.  A brief review of strength and ballistic assessment methodologies in sport.

Authors:  Daniel Travis McMaster; Nicholas Gill; John Cronin; Michael McGuigan
Journal:  Sports Med       Date:  2014-05       Impact factor: 11.136

Review 4.  Applied sport science of rugby league.

Authors:  Rich D Johnston; Tim J Gabbett; David G Jenkins
Journal:  Sports Med       Date:  2014-08       Impact factor: 11.136

Review 5.  Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

Review 6.  Local positioning systems in (game) sports.

Authors:  Roland Leser; Arnold Baca; Georg Ogris
Journal:  Sensors (Basel)       Date:  2011-10-19       Impact factor: 3.576

7.  Fitness profiles of elite portuguese rugby union players.

Authors:  Luís Vaz; Tomaz Morais; Henrique Rocha; Nic James
Journal:  J Hum Kinet       Date:  2014-07-08       Impact factor: 2.193

8.  Match play performance characteristics that predict post-match creatine kinase responses in professional rugby union players.

Authors:  Marc R Jones; Daniel J West; Bradley J Harrington; Christian J Cook; Richard M Bracken; David A Shearer; Liam P Kilduff
Journal:  BMC Sports Sci Med Rehabil       Date:  2014-11-03

9.  Movement Demands of Elite U20 International Rugby Union Players.

Authors:  Daniel Cunningham; David A Shearer; Scott Drawer; Robin Eager; Neil Taylor; Christian Cook; Liam P Kilduff
Journal:  PLoS One       Date:  2016-04-07       Impact factor: 3.240

10.  Rapid directional change degrades GPS distance measurement validity during intermittent intensity running.

Authors:  Jonathan C Rawstorn; Ralph Maddison; Ajmol Ali; Andrew Foskett; Nicholas Gant
Journal:  PLoS One       Date:  2014-04-14       Impact factor: 3.240

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