Differences in the high speed match-play characteristics of rugby league players before, during and after a period of tramseridian transition

2015 ◽  
Vol 15 (3) ◽  
pp. 1065-1076 ◽  
Author(s):  
Mark Quinn ◽  
Jonathan Sinclair ◽  
Stephen Atkins
Keyword(s):  
High Speed ◽  
Rugby League ◽  
Match Play

Player Activity Profiles in the Australian Second-Tier Rugby League Competitions

2016 ◽  
Vol 11 (6) ◽  
pp. 816-823
Author(s):  
Joanne Hausler ◽  
Mark Halaki ◽  
Rhonda Orr
Keyword(s):  
High Speed ◽  
New South ◽  
Rugby League ◽  
Relative Distance ◽  
Match Play ◽  
South Wales ◽  
Global Positioning ◽  
Second Tier ◽  
Sprinting Speed ◽  
Very High

Purpose:To investigate activity profiles of Australian rugby league players during match play by competition, position, and match outcome in the New South Wales (NSW) second-tier competitions.Methods:Eighteen NSW Cup (NSWC) and 22 National Youth Competition (NYC) players, participating in this prospective cohort study, were categorized into 3 positional groups: forwards, adjustables, and outside backs. Global positioning system devices were used to examine activity profiles (distance and relative distance covered in walking, jogging, moderate, high, very high, and sprinting speed zones and quantification of high-speed movement) during match play in 21 NSWC and 22 NYC matches (N = 339 files).Results:NSWC players performed more sprints (36.5 ± 9.3 vs 28.4 ± 9.2) and greater relative distance in moderate speed zones (18.4 ± 3.2 vs 15.8 ± 3.1 m/min) than NYC. NSWC outside backs covered greater relative distance in jogging (29.4 ± 2.9 vs 24.8 ± 2.7 m/min) and moderate speed zones (17.0 ± 2.6 vs 12.8 ± 2.8 m/min) than their NYC counterparts. Adjustables performed more sprints (39.4 ± 10.1 vs 27.0 ± 9.2), high-intensity accelerations (3.7 ± 1.4 vs 1.9 ± 1.4), and relative distance (84.8 ± 4.3 vs 88.6 ± 4.8 m/min) than forwards and greater relative distance (81.5 ± 3.8 m/min) and sprints (31.0 ± 8.0) than outside backs. Adjustables recorded greater relative distance (19.8 m/min) in moderate speed zones than forwards (16.7 ± 3.1 m/min) and outside backs (14.9 ± 2.7 m/min). Adjustables covered ~685 m more than outside backs during a win.Conclusions:This is the first study to document the activity profiles of the NSW second-tier rugby league competition. The findings underscore the elevated match demands of adjustables and indicate higher intensity of play in NSWC than NYC that may more closely resemble the demands of National Rugby League match play.

Physical and Technical Demands of Rugby League 9s Tournament Match Play: A Preliminary Study

2015 ◽  
Vol 10 (6) ◽  
pp. 774-779 ◽  
Author(s):  
Thomas Kempton ◽  
Aaron J. Coutts
Keyword(s):  
High Speed ◽  
Activity Cycle ◽  
Rugby League ◽  
Performance Data ◽  
Match Play ◽  
Technical Performance ◽  
Cycle Lengths ◽  
System Data ◽  
Average Activity ◽  
Activity Cycles

Purpose:To describe the physical and technical demands of rugby league 9s (RL9s) match play for positional groups.Methods:Global positioning system data were collected during 4 games from 16 players from a team competing in the Auckland RL9s tournament. Players were classified into positional groups (pivots, outside backs, and forwards). Absolute and relative physical-performance data were classified as total high-speed running (HSR; >14.4 km/h), very-high-speed running (VHSR; >19.0 km/h), and sprint (>23.0 km/h) distances. Technical-performance data were obtained from a commercial statistics provider. Activity cycles were coded by an experienced video analyst.Results:Forwards (1088 m, 264 m) most likely completed less overall and high-speed distances than pivots (1529 m, 371 m) and outside backs (1328 m, 312 m). The number of sprint efforts likely varied between positions, although differences in accelerations were unclear. There were no clear differences in relative total (115.6−121.3 m/min) and HSR (27.8−29.8 m/min) intensities, but forwards likely performed less VHSR (7.7 m/min) and sprint distance (1.3 m/min) per minute than other positions (10.2−11.8 m/min, 3.7−4.8 m/min). The average activity and recovery cycle lengths were ~50 and ~27 s, respectively. The average longest activity cycle was ~133 s, while the average minimum recovery time was ~5 s. Technical involvements including tackles missed, runs, tackles received, total collisions, errors, off-loads, line breaks, and involvements differed between positions.Conclusions:Positional differences exist for both physical and technical measures, and preparation for RL9s play should incorporate these differences.

scholarly journals Movement and Physiological Demands of Australasian National Rugby League Referees

2016 ◽  
Vol 11 (8) ◽  
pp. 1080-1087 ◽  
Author(s):  
Amy Brightmore ◽  
John O’Hara ◽  
Kevin Till ◽  
Steve Cobley ◽  
Tate Hubka ◽  
...  
Keyword(s):  
Global Positioning System ◽  
High Speed ◽  
Rugby League ◽  
Effect Sizes ◽  
Data Sets ◽  
Positioning System ◽  
Physiological Variable ◽  
Match Play ◽  
Global Positioning ◽  
Physiological Demands

Purpose:To evaluate the movement and physiological demands of Australasian National Rugby League (NRL) referees, officiating with a 2-referee (ie, lead and pocket) system, and to compare the demands of the lead and pocket referees. Methods:Global positioning system devices (10 Hz) were used to obtain 86 data sets (lead, n = 41; pocket, n = 45) on 19 NRL referees. Total distance, relative distance covered, and heart rate per half and across match play were examined within and between referees using t tests. Distance, time, and number of movement “efforts” were examined in 6 velocity classifications (ie, standing <0.5, walking 0.51–2.0, jogging 2.01–4.0, running 4.01–5.5, high-speed running 5.51–7.0, and sprinting >7.0 m/s) using analysis of variance. Cohen d effect sizes are reported. Results:There were no significant differences between the lead and pocket referees for any movement or physiological variable. There was an overall significant (large, very large) effect for distance (% distance) and time (% time) (P < .001) between velocity classifications for both the lead and pocket referees. Both roles covered the largest distance and number of efforts at velocities of 0.51–2.0 m/s and 2.01–4.0 m/s, which were interspersed with efforts >5.51 m/s. Conclusions:Findings highlight the intermittent nature of rugby league refereeing but show that there were no differences in the movement and physiological demands of the 2 refereeing roles. Findings are valuable for those responsible for the preparation, training, and conditioning of NRL referees and to ensure that training prepares for and simulates match demands.

Metabolic Power Demands of Rugby League Match Play

2015 ◽  
Vol 10 (1) ◽  
pp. 23-28 ◽  
Author(s):  
Tom Kempton ◽  
Anita Claire Sirotic ◽  
Ermanno Rampinini ◽  
Aaron James Coutts
Keyword(s):  
High Power ◽  
High Speed ◽  
Power Distance ◽  
Rugby League ◽  
Metabolic Power ◽  
Match Play ◽  
Global Positioning ◽  
High Power Distance ◽  
The Difference ◽  
Gps Devices

Purpose:To describe the metabolic demands of rugby league match play for positional groups and compare match distances obtained from high-speed-running classifications with those derived from high metabolic power.Methods:Global positioning system (GPS) data were collected from 25 players from a team competing in the National Rugby League competition over 39 matches. Players were classified into positional groups (adjustables, outside backs, hit-up forwards, and wide-running forwards). The GPS devices provided instantaneous raw velocity data at 5 Hz, which were exported to a customized spreadsheet. The spreadsheet provided calculations for speed-based distances (eg, total distance; high-speed running, >14.4 km/h; and very-highspeed running, >18.1 km/h) and metabolic-power variables (eg, energy expenditure; average metabolic power; and high-power distance, >20 W/kg).Results:The data show that speed-based distances and metabolic power varied between positional groups, although this was largely related to differences in time spent on field. The distance covered at high running speed was lower than that obtained from high-power thresholds for all positional groups; however, the difference between the 2 methods was greatest for hit-up forwards and adjustables.Conclusions:Positional differences existed for all metabolic parameters, although these are at least partially related to time spent on the field. Higher-speed running may underestimate the demands of match play when compared with high-power distance—although the degree of difference between the measures varied by position. The analysis of metabolic power may complement traditional speed-based classifications and improve our understanding of the demands of rugby league match play.

scholarly journals Evidence of Concussion Signs in National Rugby League Match Play: a Video Review and Validation Study

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Andrew J. Gardner ◽  
David R. Howell ◽  
Christopher R. Levi ◽  
Grant L. Iverson
Keyword(s):  
Validation Study ◽  
Rugby League ◽  
Match Play ◽  
Video Review

Influence of Physical Contact on Pacing Strategies During Game-Based Activities

2014 ◽  
Vol 9 (5) ◽  
pp. 811-816 ◽  
Author(s):  
Rich D. Johnston ◽  
Tim J. Gabbett ◽  
Anthony J. Seibold ◽  
David G. Jenkins
Keyword(s):  
Effect Size ◽  
High Intensity ◽  
High Speed ◽  
Rugby League ◽  
Physical Contact ◽  
Running Performance ◽  
Low Speed ◽  
Pacing Strategies ◽  
Group 2 ◽  
Group 1

Purpose:Repeated sprinting incorporating tackles leads to greater reductions in sprint performance than repeated sprinting alone. However, the influence of physical contact on the running demands of game-based activities is unknown. The aim of this study was to determine whether the addition of physical contact altered pacing strategies during game-based activities.Methods:Twenty-three elite youth rugby league players were divided into 2 groups. Group 1 played the contact game on day 1 while group 2 played the noncontact game; 72 h later they played the alternate game. Each game consisted of offside touch on a 30 × 70-m field, played over two 8-min halves. Rules were identical between games except the contact game included a 10-s wrestle bout every 50 s. Microtechnology devices were used to analyze player movements.Results:There were greater average reductions during the contact game for distance (25%, 38 m/min, vs 10%, 20 m/min; effect size [ES] = 1.78 ± 1.02) and low-speed distance (21%, 24 m/min, vs 0%, 2 m/s; ES = 1.38 ± 1.02) compared with the noncontact game. There were similar reductions in high-speed running (41%, 18 m/min, vs 45%, 15 m/min; ES = 0.15 ± 0.95).Conclusions:The addition of contact to game-based activities causes players to reduce low-speed activity in an attempt to maintain high-intensity activities. Despite this, players were unable to maintain high-speed running while performing contact efforts. Improving a player’s ability to perform contact efforts while maintaining running performance should be a focus in rugby league training.

Physical collisions and injury in professional rugby league match-play

2011 ◽  
Vol 14 (3) ◽  
pp. 210-215 ◽  
Author(s):  
Tim J. Gabbett ◽  
David G. Jenkins ◽  
Bruce Abernethy
Keyword(s):  
Rugby League ◽  
Match Play

scholarly journals Multiple Measures are Needed to Quantify Training Loads in Professional Rugby League

2017 ◽  
Vol 38 (10) ◽  
pp. 735-740 ◽  
Author(s):  
Daniel Weaving ◽  
Ben Jones ◽  
Phil Marshall ◽  
Kevin Till ◽  
Grant Abt
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
High Speed ◽  
Perceived Exertion ◽  
Principal Component ◽  
Component Analysis ◽  
Rugby League ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Training Mode

AbstractThis study aims to investigate the effect of training mode (conditioning and skills) on multivariate training load relationships in professional rugby league via principal component analysis. Four measures of training load (internal: heart rate exertion index, session rating of perceived exertion; external: PlayerLoad™, individualised high-speed distance) were collected from 23 professional male rugby league players over the course of one 12 wk preseason period. Training was categorised by mode (skills or conditioning) and then subjected to a principal component analysis. Extraction criteria were set at an eigenvalue of greater than 1. Modes that extracted more than 1 principal component were subject to a varimax rotation. Skills extracted 1 principal component, explaining 57% of the variance. Conditioning extracted 2 principal components (1st: internal; 2nd: external), explaining 85% of the variance. The presence of multiple training load dimensions (principal components) during conditioning training provides further evidence of the influence of training mode on the ability of individual measures of external or internal training load to capture training variance. Consequently, a combination of internal and external training-load measures is required during certain training modes.

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