Quantifying positional and temporal movement patterns in professional rugby union using global positioning system

2015 ◽  
Vol 15 (6) ◽  
pp. 488-496 ◽  
Author(s):  
Marc R. Jones ◽  
Daniel J. West ◽  
Blair T. Crewther ◽  
Christian J. Cook ◽  
Liam P. Kilduff
Keyword(s):  
Global Positioning System ◽  
Movement Patterns ◽  
Rugby Union ◽  
Positioning System ◽  
Global Positioning

High-intensity Activity in European vs. National Rugby Union Games in the best 2014–2015 Team

2020 ◽  
Author(s):  
Charly Fornasier-Santos ◽  
Gregoire P Millet ◽  
Paul Stridgeon ◽  
Olivier Girard ◽  
Franck Brocherie ◽  
...  
Keyword(s):  
Global Positioning System ◽  
High Intensity ◽  
High Speed ◽  
Training Programs ◽  
Rugby Union ◽  
Positioning System ◽  
Competition Level ◽  
Global Positioning ◽  
Running Pattern

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.

scholarly journals In-match physical demands on elite Japanese rugby union players using a global positioning system

2020 ◽  
Vol 6 (1) ◽  
pp. e000659 ◽  
Author(s):  
Hayato Yamamoto ◽  
Masanori Takemura ◽  
Junta Iguchi ◽  
Misato Tachibana ◽  
Junzo Tsujita ◽  
...  
Keyword(s):  
Global Positioning System ◽  
High Velocity ◽  
Training Programme ◽  
Rugby Union ◽  
Study Data ◽  
Positioning System ◽  
Specific Training ◽  
Physical Demands ◽  
Global Positioning ◽  
Training Programmes

ObjectivesOur aim of this study was to quantify the physical demands of elite rugby union players by each position as a step towards designing position-specific training programme using a Global Positioning System/accelerometer system.MethodsThis study was performed as a retrospective observational study. Data were obtained from 45 official matches. The sample size used for the analysis was 298. The per-match total distances, accelerations and impacts were calculated and statistically compared for the forwards and backs and for individual positions.ResultsTotal distances for the forwards and backs were 5731.1±507.8 and 6392.1±646.8 m, respectively. The high-velocity running distances (>18.0 km/hour) covered by the forwards and backs were 317.4±136.9 and 715.0±242.9 m, respectively. The number of accelerations (>1.5 m/s2) for the forwards and backs were 76.3±18.9 and 100.8±19.6 times, respectively, and the number of high impacts (>10 g) were 48.0±46.9 and 35.6±28.3 times for the forwards and backs, respectively. All characteristics were significantly different between the forwards and backs (p<0.05). The per-position characteristics were also calculated. Within the backs, scrum half (SH) and wingers (WTBs) covered high-velocity running significantly higher distance than fly-half (SH d=2.571, WTBs d=1.556) and centres (SH d=1.299, WTBs d=0.685) (p<0.05).ConclusionBy clarifying the physical demands according to the positions, it will be possible to create optimised position-specific training programmes.

Validity and Reliability of GPS Units to Monitor Cricket-Specific Movement Patterns

2009 ◽  
Vol 4 (3) ◽  
pp. 381-393 ◽  
Author(s):  
Carl Petersen ◽  
David Pyne ◽  
Marc Portus ◽  
Brian Dawson
Keyword(s):  
Global Positioning System ◽  
Standard Error ◽  
Coefficient Of Variation ◽  
Movement Patterns ◽  
Positioning System ◽  
Confidence Limits ◽  
Validity And Reliability ◽  
Typical Error ◽  
Global Positioning ◽  
Further Development

Purpose:The validity and reliability of three commercial global positioning system (GPS) units (MinimaxX, Catapult, Australia; SPI-10, SPI-Pro, GPSports, Australia) were quantified.Methods:Twenty trials of cricket-specific locomotion patterns and distances (walking 8800 m, jogging 2400 m, running 1200 m, striding 600 m, sprinting 20- to 40-m intervals, and run-a-three) were compared against criterion measures (400-m athletic track, electronic timing). Validity was quantified with the standard error of the estimate (SEE) and reliability estimated using typical error expressed as a coefficient of variation.Results:The validity (mean ± 90% confidence limits) for locomotion patterns walking to striding ranged from 0.4 ± 0.1 to 3.8 ± 1.4%, whereas for sprinting distances over 20 to 40 m including run-a-three (approx. 50 m) the SEE ranged from 2.6 ± 1.0 to 23.8 ± 8.8%. The reliability (expressed as mean [90% confidence limits]) of estimating distance traveled by walking to striding ranged from 0.3 (0.2 to 0.4) to 2.9% (2.3 to 4.0). Similarly, mean reliability of estimating different sprinting distances over 20 to 40 m ranged from 2.0 (1.6 to 2.8) to 30.0% (23.2 to 43.3).Conclusions:The accuracy and bias was dependent on the GPS brand employed. Commercially available GPS units have acceptable validity and reliability for estimating longer distances (600–8800 m) in walking to striding, but require further development for shorter cricket-specifc sprinting distances.

scholarly journals Movement Patterns and Match Statistics in the National Rugby League Women's (NRLW) Premiership

2021 ◽  
Vol 3 ◽  
Author(s):  
Tim Newans ◽  
Phillip Bellinger ◽  
Simon Buxton ◽  
Karlee Quinn ◽  
Clare Minahan
Keyword(s):  
Global Positioning System ◽  
Mixed Models ◽  
High Speed ◽  
High Performance ◽  
Generalized Linear Mixed Models ◽  
Movement Patterns ◽  
Rugby League ◽  
Future Research ◽  
Positioning System ◽  
Global Positioning

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.

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