TY - JOUR
T1 - The ball in play demands of international rugby union
AU - Pollard, Benjamin T
AU - Turner, Anthony N
AU - Eager, Robin
AU - Cunningham, Daniel J
AU - Cook, Christian J
AU - Hogben, Patrick
AU - Kilduff, Liam P
N1 - Copyright © 2018 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Objectives: Rugby union is a high intensity intermittent sport, typically analysed via set time periods or rolling average methods. This study reports the demands of international rugby union via global positioning system (GPS) metrics expressed as mean ball in play (BiP), maximum BiP (max BiP), and whole match outputs. Design: Single cohort cross sectional study involving 22 international players, categorised as forwards and backs. Methods: A total of 88 GPS files from eight international test matches were collected during 2016. An Opta sportscode timeline was integrated into the GPS software to split the data into BiP periods. Metres per min (m min
−1), high metabolic load per min (HML), accelerations per min (Acc), high speed running per min (HSR), and collisions per min (Coll) were expressed relative to BiP periods and over the whole match (>60 min). Results: Whole match metrics were significantly lower than all BiP metrics (p < 0.001). Mean and max BiP HML, (p < 0.01) and HSR (p < 0.05) were significantly higher for backs versus forwards, whereas Coll were significantly higher for forwards (p < 0.001). In plays lasting 61 s or greater, max BiP m min
−1 were higher for backs. Max BiP m min
−1, HML, HSR and Coll were all time dependant (p < 0.05) showing that both movement metrics and collision demands differ as length of play continues. Conclusions: This study uses a novel method of accurately assessing the BiP demands of rugby union. It also reports typical and maximal demands of international rugby union that can be used by practitioners and scientists to target training of worst-case scenario's equivalent to international intensity. Backs covered greater distances at higher speeds and demonstrated higher HML, in general play as well as ‘worst case scenarios’; conversely forwards perform a higher number of collisions.
AB - Objectives: Rugby union is a high intensity intermittent sport, typically analysed via set time periods or rolling average methods. This study reports the demands of international rugby union via global positioning system (GPS) metrics expressed as mean ball in play (BiP), maximum BiP (max BiP), and whole match outputs. Design: Single cohort cross sectional study involving 22 international players, categorised as forwards and backs. Methods: A total of 88 GPS files from eight international test matches were collected during 2016. An Opta sportscode timeline was integrated into the GPS software to split the data into BiP periods. Metres per min (m min
−1), high metabolic load per min (HML), accelerations per min (Acc), high speed running per min (HSR), and collisions per min (Coll) were expressed relative to BiP periods and over the whole match (>60 min). Results: Whole match metrics were significantly lower than all BiP metrics (p < 0.001). Mean and max BiP HML, (p < 0.01) and HSR (p < 0.05) were significantly higher for backs versus forwards, whereas Coll were significantly higher for forwards (p < 0.001). In plays lasting 61 s or greater, max BiP m min
−1 were higher for backs. Max BiP m min
−1, HML, HSR and Coll were all time dependant (p < 0.05) showing that both movement metrics and collision demands differ as length of play continues. Conclusions: This study uses a novel method of accurately assessing the BiP demands of rugby union. It also reports typical and maximal demands of international rugby union that can be used by practitioners and scientists to target training of worst-case scenario's equivalent to international intensity. Backs covered greater distances at higher speeds and demonstrated higher HML, in general play as well as ‘worst case scenarios’; conversely forwards perform a higher number of collisions.
KW - GPS analysis
KW - Collisions
KW - Movement patterns
KW - Worst case scenario
KW - Geographic Information Systems
KW - Movement
KW - Cross-Sectional Studies
KW - Humans
KW - Male
KW - Running/physiology
KW - Young Adult
KW - Competitive Behavior
KW - Football/physiology
KW - Adult
KW - Acceleration
UR - http://www.scopus.com/inward/record.url?scp=85043978891&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b0b41281-6a40-3527-9165-5d3e356914c2/
U2 - 10.1016/j.jsams.2018.02.015
DO - 10.1016/j.jsams.2018.02.015
M3 - Article
C2 - 29559318
SN - 1440-2440
VL - 21
SP - 1090
EP - 1094
JO - Australian Journal of Science and Medicine in Sport
JF - Australian Journal of Science and Medicine in Sport
IS - 10
M1 - 1821
ER -