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Training Practices of Academy Rugby League and their Alignment to Physical Qualities Deemed Important for Current and Future Performance

Published on May 13, 2020in International Journal of Sports Science & Coaching
· DOI :10.1177/1747954120924905
S Mccormack , Sam McCormack (LBU: Leeds Beckett University)+ 0 AuthorsKevin Till18
Estimated H-index: 18
(LBU: Leeds Beckett University)
Abstract
This study aimed to investigate rugby league coaches’ perceptions of physical qualities for current and future performance, while also establishing the training practices of Under-16 and Under-19 players. Twenty-four practitioners (rugby coach, strength and conditioning coach) working within nine Super League clubs completed a questionnaire. The questionnaire required practitioners to rank eleven physical qualities (i.e., strength, power, acceleration, maximum speed, aerobic endurance, change of direction, agility, height, body mass, lean mass and fat mass) by importance for current performance, future performance and career longevity according to playing position (forwards, backs, hookers & halves). Practitioners were asked to provide detail on the frequency and duration of each type of training session completed during a typical week throughout each phase of the season; pre-season, in-season (early), in-season (mid), and in-season (late). Typically, practitioners ranked strength, power and acceleration qualities highest, and endurance and anthropometric qualities lowest. The importance of physical qualities varied according to each playing level and position. Training practices of U16 and U19 players differed during each phase of the season, with U19 players undertaking greater training volumes than U16s players. Overall, the physical qualities coaches perceived as most important were not reflected within their training practices. Rugby league practitioners can use this information as a reference source to design long term athletic development plans, prescribe training and during player development procedures. Moreover, these data can inform and improve training practices while influencing the design of pre-season preparatory phases and in-season periods.
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References56
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#1Bradley Robinson (Rhodes University)H-Index: 1
#2Lee Pote (Rhodes University)H-Index: 2
Last. Candice J. Christie (Rhodes University)H-Index: 8
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#1Rich D. Johnston (ACU: Australian Catholic University)H-Index: 12
#2Dan Weaving (LBU: Leeds Beckett University)H-Index: 7
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ABSTRACTTo quantify the peak movement and contact demands of National Rugby League (NRL) and European Super League (ESL) competition players were tracked during 10 NRL (166 files) and 10 ESL (143 f...
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Purpose: To investigate the factors affecting the anthropometric and physical characteristics of elite academy rugby league players. Methods: One hundred and ninety-seven elite academy rugby league players (age = 17.3 ± 1.0 years) from five Super League clubs completed measures of anthropometric and physical characteristics during a competitive season. The interaction between, and influence of contextual factors on characteristics was assessed using linear mixed modelling. Results: Associations ...
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#1Sharief Hendricks (LBU: Leeds Beckett University)H-Index: 16
#2Kevin Till (LBU: Leeds Beckett University)H-Index: 18
Last. Ben JonesH-Index: 16
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Rugby union is a late specialisation sport. As a consequence, youth players may still be engaged in other activities and sports throughout the year as they transition to rugby specialisation. Limit...
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#1Dan Weaving (LBU: Leeds Beckett University)H-Index: 7
#2T Sawczuk (LBU: Leeds Beckett University)H-Index: 4
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ABSTRACTUnderstanding the most demanding passages of European Super League competition can optimise training prescription. We established positional and match half differences in peak relative distances (m·min−1) across durations, and the number of collisions, high-speed- and very-high-speed-distance completed in the peak 10 min period. Moving-averages (10 s, 30 s, 1 min, 5 min, 10 min) of instantaneous speed (m·s−1) were calculated from 25 professional rugby league players during 25 matches via...
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#1Sarah Whitehead (LBU: Leeds Beckett University)H-Index: 3
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Objectives: To quantify, and compare, the whole- half- and peak-match running demands of professional club and international under-16 rugby league match-play. Methods: Four professional Club (n = 30) and two International (n = 23) under-16 matches were analysed using 10-Hz micro-technology units, with players analysed according to positional groups. Absolute (m) and relative (RD; m.min–1) total, high speed (>5 m·s–1; HSR) and sprint (>7 m·s–1) distance were analysed for whole- and half-match alo...
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#1Nick Dobbin (University of Chester)H-Index: 3
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ABSTRACTThis study investigated changes in body composition in relation to training load determined using RPE and duration (sRPE), and its relationship with physical qualities over a preseason period. Sixteen professional academy players (age = 17.2 ± 0.7 years; stature = 179.9 ± 4.9 cm; body mass = 88.5 ± 10.1 kg) participated in the study. Body composition was assessed before and after each training phase and physical qualities assessed at the start and end of preseason. Across the whole prese...
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#1Christopher J. Black (LBU: Leeds Beckett University)H-Index: 2
#2Kevin Till (LBU: Leeds Beckett University)H-Index: 18
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This study quantified the field-based external training loads of professional rugby league players using global positioning systems technology across a playing season. Eleven professional rugby league players were monitored during all field-based training activities during the 2014 Super League season. Training sessions undertaken in preseason (n = 211 observations), early (n = 194 observations), middle (n = 171 observations) and late (n = 206 observations) phases of the in-season were averaged ...
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#1Padraic J. Phibbs (LBU: Leeds Beckett University)H-Index: 11
#2Ben Jones (LBU: Leeds Beckett University)H-Index: 16
Last. Kevin Till (LBU: Leeds Beckett University)H-Index: 18
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AbstractThe aims of this study were to determine the variability of weekly match and training loads in adolescent rugby union players across a competitive season, and to investigate the effect of match frequency on load distribution across different activities. Internal match and training load data (i.e. session-rating of perceived exertion (sRPE)) were collected daily from 20 players from a regional academy across a 14-week season. Data were analysed using a mixed-effects linear model, and vari...
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The strength and conditioning (S and C) practices in elite Rugby Union (RU) have previously been detailed. There is also research that indicates playing styles can differ between Northern hemisphere (NH) and Southern hemisphere (SH) teams. It is not presently known if these variances in playing styles are reflected in the S and C practices of those supporting NH and SH teams. As such, the present study examines any variances in S and C practices between those supporting NH and SH elite-level tea...
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