scholarly journals Movement Demands of Elite Rugby League Players during Australian National Rugby League and European Super League Matches

2014 ◽  
Vol 9 (6) ◽  
pp. 925-930 ◽  
Author(s):  
Craig Twist ◽  
Jamie Highton ◽  
Mark Waldron ◽  
Emma Edwards ◽  
Damien Austin ◽  
...  

Purpose:This study compared the movement demands of players competing in matches from the elite Australian and European rugby league competitions.Methods:Global positioning system devices were used to measure 192 performances of forwards, adjustables, and outside backs during National Rugby League (NRL; n = 88) and European Super League (SL; n = 104) matches. Total and relative distances covered overall and at low (0–3.5 m/s), moderate (3.6–5 m/s), and high (>5 m/s) speeds were measured alongside changes in movement variables across the early, middle, and late phases of the season.Results:The relative distance covered in SL matches (95.8 ± 18.6 m/min) was significantly greater (P < .05) than in NRL matches (90.2 ± 8.3 m/min). Relative low-speed activity (70.3 ± 4.9 m/min vs 75.5 ± 18.9 m/min) and moderate-speed running (12.5 ± 3.3 m m/min vs 14.2 ± 3.8 m/min) were highest (P < .05) in the SL matches, and relative high-speed distance was greater (P < .05) during NRL matches (7.8 ± 2.1 m/min vs 6.1 ± 1.7 m/min).Conclusions:NRL players have better maintenance of high-speed running between the first and second halves of matches and perform less low- and moderate-speed activity, indicating that the NRL provides a higher standard of rugby league competition than the SL.

Author(s):  
Matthew Fairbank ◽  
Jamie Highton ◽  
Matthew Daniels ◽  
Craig Twist

This study reports on the content and periodisation of the preseason field-based training for a professional rugby league team. Thirty professional male rugby league players (26 ± 5 years, 180.9 ± 6.5 cm, 94 ± 9 kg) completed an 8-week preseason. Global positioning system devices and heart rate were used to monitor physical and physiological responses of different field-based training components (speed, conditioning, rugby skill and game-based training). Rugby skill training contributed the most to the total distance covered, conditioning was the greatest contributor to high-speed running (>15 km/h) and game-based training provided the greatest high metabolic distance (>20 W/kg) and overall external load. Game-based training provided the greatest time with heart rate ≥80% estimated maximum. The weekly preseason cycle had lower loads on Monday and Thursday whereas Tuesday and Friday produced the highest loads. The preseason described herein adopted a progressive overload comprising a weekly undulating cycle. This study emphasises how skill and games-based training contributes significantly to the overall load of a professional rugby league team's preseason with more traditional conditioning promoting high-speed running load and high metabolic load.


2021 ◽  
Vol 3 ◽  
Author(s):  
Tim Newans ◽  
Phillip Bellinger ◽  
Simon Buxton ◽  
Karlee Quinn ◽  
Clare Minahan

As women's rugby league grows, the need for understanding the movement patterns of the sport is essential for coaches and sports scientists. The aims of the present study were to quantify the position-specific demographics, technical match statistics, and movement patterns of the National Rugby League Women's (NRLW) Premiership and to identify whether there was a change in the intensity of play as a function of game time played. A retrospective observational study was conducted utilizing global positioning system, demographic, and match statistics collected from 117 players from all NRLW clubs across the full 2018 and 2019 seasons and were compared between the ten positions using generalized linear mixed models. The GPS data were separated into absolute (i.e., total distance, high-speed running distance, and acceleration load) and relative movement patterns (i.e., mean speed, mean high speed (&gt; 12 km·h−1), and mean acceleration). For absolute external outputs, fullbacks covered the greatest distance (5,504 m), greatest high-speed distance (1,081 m), and most ball-carry meters (97 m), while five-eighths recorded the greatest acceleration load (1,697 m·s−2). For relative external outputs, there were no significant differences in mean speed and mean high speed between positions, while mean acceleration only significantly differed between wingers and interchanges. Only interchange players significantly decreased in mean speed as their number of minutes played increased. By understanding the load of NRLW matches, coaches, high-performance staff, and players can better prepare as the NRLW Premiership expands. These movement patterns and match statistics of NRLW matches can lay the foundation for future research as women's rugby league expands. Similarly, coaches, high-performance staff, and players can also refine conditioning practices with a greater understanding of the external output of NRLW players.


2016 ◽  
Vol 11 (8) ◽  
pp. 1080-1087 ◽  
Author(s):  
Amy Brightmore ◽  
John O’Hara ◽  
Kevin Till ◽  
Steve Cobley ◽  
Tate Hubka ◽  
...  

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.


2014 ◽  
Vol 9 (4) ◽  
pp. 680-688 ◽  
Author(s):  
Tim J. Gabbett

Purpose:A limitation of most rugby league time–motion studies is that researchers have examined the demands of single teams, with no investigations of all teams in an entire competition. This study investigated the activity profiles and technical and tactical performances of successful and less-successful teams throughout an entire rugby league competition.Methods:In total, 185 rugby league players representing 11 teams from a semiprofessional competition participated in this study. Global positioning system analysis was completed across the entire season. Video footage from individual matches was also coded via notational analysis for technical and tactical performance of teams.Results:Trivial to small differences were found among Top 4, Middle 4, and Bottom 4 teams for absolute and relative total distances covered and distances covered at low speeds. Small, nonsignificant differences (P = .054, ES = 0.31) were found between groups for the distance covered sprinting, with Top 4 teams covering greater sprinting distances than Bottom 4 teams. Top 4 teams made more meters in attack and conceded fewer meters in defense than Bottom 4 teams. Bottom 4 teams had a greater percentage of slow play-the-balls in defense than Top 4 teams (74.8% ± 7.3% vs 67.2% ± 8.3%). Middle 4 teams showed the greatest reduction in high-speed running from the first to the second half (–20.4%), while Bottom 4 teams completed 14.3% more high-speed running in the second half than in the first half.Conclusion:These findings demonstrate that a combination of activity profiles and technical and tactical performance are associated with playing success in semiprofessional rugby league players.


Author(s):  
Charly Fornasier-Santos ◽  
Gregoire P Millet ◽  
Paul Stridgeon ◽  
Olivier Girard ◽  
Franck Brocherie ◽  
...  

AbstractThe purpose of this study is to evaluate the influence of competition level on running patterns for five playing position in the most successful 2014–2015 European rugby union team. Seventeen French rugby union championship and seven European rugby Champions Cup games were analysed. Global positioning system (sampling: 10 Hz) were used to determine high-speed movements, high-intensity accelerations, repeated high-intensity efforts and high-intensity micro-movements characteristics for five positional groups. During European Champions Cup games, front row forwards performed a higher number of repeated high-intensity efforts compared to National championship games (5.8±1.6 vs. 3.6±2.3; +61.1%), and back row forwards travelled greater distance both at high-speed movements (3.4±1.8 vs. 2.4±0.9 m·min-1; +41.7%) and after high-intensity accelerations (78.2±14.0 vs. 68.1 ±13.4 m; +14.8%). In backs, scrum halves carried out more high-intensity accelerations (24.7±3.1 vs. 14.8±5.0; +66.3%) whereas outside backs completed a higher number of high-speed movements (62.7±25.4 vs. 48.3±17.0; +29.8%) and repeated high-intensity efforts (13.5±4.6 vs. 9.7±4.9;  +39.2%). These results highlighted that the competition level affected the high-intensity activity differently among the five playing positions. Consequently, training programs in elite rugby should be tailored taking into account both the level of competition and the high-intensity running pattern of each playing position.


2016 ◽  
Vol 11 (6) ◽  
pp. 816-823
Author(s):  
Joanne Hausler ◽  
Mark Halaki ◽  
Rhonda Orr

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.


2015 ◽  
Vol 10 (6) ◽  
pp. 711-717 ◽  
Author(s):  
Georgia M. Black ◽  
Tim J. Gabbett

Purpose:No study has investigated the frequency and nature of repeated high-intensity-effort (RHIE) bouts across elite and semielite rugby league competitions. This study examined RHIE activity in rugby league match play across playing standards.Participants:36 elite and 64 semielite rugby league players.Methods:Global positioning system analysis was completed during 17 elite and 14 semielite matches.Results:The most commonly occurring RHIE bouts involved 2 efforts (2-RHIE) for both elite and semielite players. Only small differences were found in 2-RHIE activity between elite and semielite match play (effect size [ES] ≥0.31 ± 0.15, ≥88%, likely). RHIE bouts were more likely to involve contact as the number of efforts in a bout increased (ES ≥0.40 ± 0.15, 100%, almost certainly). Semielite players performed a greater proportion of 2-contact-effort RHIE bouts than their elite counterparts (68.2% vs 60.6%, ES 0.33 ± 0.15, 92%, likely), while elite players performed a greater proportion of 3-effort bouts (26.9% vs 21.1%, ES 0.31 ± 0.15, 88%, likely). Elite players also had a shorter recovery (1.00−3.99 vs ≥4.00 min) between RHIE bouts (ES ≥1.60 ± 0.71, ≥94%, likely).Conclusion:These findings highlight the RHIE demands of elite and semielite rugby league match play. Elite players are more likely to perform RHIE bouts consisting of 3 efforts and to have a shorter recovery time between bouts. Exposing players to these RHIE demands in training is likely to improve their ability to tolerate the most demanding passages of match play.


2015 ◽  
Vol 10 (6) ◽  
pp. 725-731 ◽  
Author(s):  
Jace A. Delaney ◽  
Tannath J. Scott ◽  
Heidi R. Thornton ◽  
Kyle J.M. Bennett ◽  
David Gay ◽  
...  

Rugby league coaches often prescribe training to replicate the demands of competition. The intensities of running drills are often monitored in comparison with absolute match-play measures. Such measures may not be sensitive enough to detect fluctuations in intensity across a match or to differentiate between positions.Purpose:To determine the position- and duration-specific running intensities of rugby league competition, using a moving-average method, for the prescription and monitoring of training.Methods:Data from a 15-Hz global positioning system (GPS) were collected from 32 professional rugby league players across a season. The velocity–time curve was analyzed using a rolling-average method, where maximum values were calculated for 10 different durations, 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 min, for each player across each match.Results:There were large differences between the 1- and 2-min rolling averages and all other rolling-average durations. Smaller differences were observed for rolling averages of greater duration. Fullbacks maintained a greater velocity than outside backs and middle and edge forwards over the 1- and 2-min rolling averages (ES 0.8−1.2, P < .05). For rolling averages 3 min and greater, the running demands of the fullbacks were greater than those of the middle forwards and outside backs (ES 1.1−1.4, P < .05).Conclusions:These findings suggest that the running demands of rugby league fluctuate vastly across a match. Fullbacks were the only position to exhibit a greater running intensity than any other position, and therefore training prescription should reflect this.


2015 ◽  
Vol 10 (6) ◽  
pp. 732-739 ◽  
Author(s):  
Cloe Cummins ◽  
Rhonda Orr

Objective: To investigate the impact forces of collision events during both attack and defense in elite rugby league match play and to compare the collision profiles between playing positions. Participants: 26 elite rugby league players. Methods: Player collisions were recorded using an integrated accelerometer in global positioning system units (SPI-Pro X, GPSports). Impact forces of collisions in attack (hit-ups) and defense (tackles) were analyzed from 359 files from outside backs (n = 78), adjustables (n = 97), wide-running forwards (n = 136), and hit-up forwards (n = 48) over 1 National Rugby League season. Results: Hit-up forwards were involved in 0.8 collisions/min, significantly more than all other positional groups (wide-running forwards P = .050, adjustables P = .042, and outside backs P = .000). Outside backs experienced 25% fewer collisions per minute than hit-up forwards. Hit-up forwards experienced a collision within the 2 highest classifications of force (≥10 g) every 2.5 min of match play compared with 1 every 5 and 9 min for adjustables and outside backs, respectively. Hit-up forwards performed 0.5 tackles per minute of match play, 5 times that of outside backs (ES = 1.90; 95% CI [0.26,3.16]), and 0.2 hit-ups per minute of match play, twice as many as adjustables. Conclusions: During a rugby league match, players are exposed to a significant number of collision events. Positional differences exist, with hit-up and wide-running forwards experiencing greater collision events than adjustables and outside backs. Although these results may be unique to the individual team’s defensive- and attacking-play strategies, they are indicative of the significant collision profiles in professional rugby league.


2020 ◽  
Vol 55 (9) ◽  
pp. 931-943
Author(s):  
Natalie Kupperman ◽  
Jay Hertel

Objective To evaluate the current literature regarding the utility of global positioning system (GPS)–derived workload metrics in determining musculoskeletal injury risk in team-based field-sport athletes. Data Sources PubMed entries from January 2009 through May 2019 were searched using terms related to GPS, player workload, injury risk, and team-based field sports. Study Selection Only studies that used GPS metrics and had injury as the main outcome variable were included. Data Extraction Total distance, high-speed running, and acute : chronic workload ratios were the most common GPS metrics analyzed, with the most frequent sports being soccer, rugby, and Australian rules football. Data Synthesis Many distinct workload metrics were associated with increased injury risk in individual studies performed in particular sport circumstances; however, the body of evidence was inconclusive as to whether any specific metrics could consistently predict injury risk across multiple team-based field sports. Conclusions Our results were inconclusive in determining if any GPS–derived workload metrics were associated with an increased injury risk. This conclusion is due to a myriad of factors, including differences in injury definitions, workload metrics, and statistical analyses across individual studies.


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