Literature DB >> 25734912

Activity Profiles of Successful and Less-successful Semi-elite Rugby League Teams.

B T Hulin1, T J Gabbett1.   

Abstract

This study investigated whether match intensities during predefined periods differed among successful and less-successful rugby league teams. 4 semi-elite rugby league teams were split into 'high-success' and 'low-success' groups based on their success rates. Movement was recorded using a global positioning system (10 Hz) during 20 rugby league matches. Following the peak ball-in-play time period, the high-success group was able to maintain ball-in-play time that was: (1) 22% greater than the low-success group (P=0.01) and (2) greater than their mean period of match-play (P=0.01). In the peak and mean periods of match play, hit-up forwards from the high-success group covered less total distance (P=0.02; P=0.01), less high-intensity running distance (P=0.01; P=0.01) and were involved in a greater number of collisions (P=0.03; P=0.01) than hit-up forwards from the low-success group. These results demonstrate that greater amounts of high-intensity running and total distance are not related to competitive success in semi-elite rugby league. Rather, competitive success is associated with involvement of hit-up forwards in a greater number of collisions and the ability of high-success teams to maintain a higher ball-in-play time following the peak period. Strength and conditioning programs that: (1) emphasize high-intensity running and neglect to combine these running demands with collisions, and (2) do not offer exposure to match specific ball-in-play time demands, may not provide sufficient physiological preparation for teams to be successful in rugby league. © Georg Thieme Verlag KG Stuttgart · New York.

Mesh:

Year:  2015        PMID: 25734912     DOI: 10.1055/s-0034-1398532

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  4 in total

1.  Officiating Role Influences the Physical Match Activity Profiles of Rugby League Touch Judges and Referees.

Authors:  Leesa Pearce; Carl Woods; Wade Sinclair; Anthony Leicht
Journal:  J Hum Kinet       Date:  2017-08-01       Impact factor: 2.193

2.  Detection of deceptive motions in rugby from visual motion cues.

Authors:  Sean Dean Lynch; Anne-Hélène Olivier; Benoit Bideau; Richard Kulpa
Journal:  PLoS One       Date:  2019-09-13       Impact factor: 3.240

3.  Rugby game performances and weekly workload: Using of data mining process to enter in the complexity.

Authors:  Romain Dubois; Noëlle Bru; Thierry Paillard; Anne Le Cunuder; Mark Lyons; Olivier Maurelli; Kilian Philippe; Jacques Prioux
Journal:  PLoS One       Date:  2020-01-29       Impact factor: 3.240

4.  The Use of Microtechnology to Quantify the Peak Match Demands of the Football Codes: A Systematic Review.

Authors:  Sarah Whitehead; Kevin Till; Dan Weaving; Ben Jones
Journal:  Sports Med       Date:  2018-11       Impact factor: 11.136

  4 in total

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