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Journal Article

Citation

MacLeod SJ, Hagan C, Egaña M, Davis J, Drake D. Int. J. Sports Physiol. Perform. 2018; 13(8): 1075-1082.

Affiliation

Ulster Rugby, Kingspan Stadium, 134 Mount Merrion Avenue, Belfast, BT6 0DG.

Copyright

(Copyright © 2018, Human Kinetics Publishers)

DOI

10.1123/ijspp.2017-0124

PMID

29431538

Abstract

AIMS: To determine if microtechnology - derived collision loads discriminate between collision performance and compare the physical and analytical components of collision performance between positional groups.

METHODS: Thirty-seven professional male rugby union players participated in this study. Collision events from 11 competitive matches were coded using specific tackle and carry classifications based on the ball-carrier's collision outcome. Collisions were automatically detected using 10Hz microtechnology units. Collision events were identified, coded (as tackle or carry) and timestamped at the collision contact point using game analysis software. Attacking and defensive performances of 1609 collision events were analysed.

RESULTS: Collision loads were significantly greater during dominant compared with neutral and passive collisions (P<0.001; Effect Size (ES) = 0.53, 0.80 respectively), tackles (p<0.0001; ES = 0.60 & 0.56 respectively) and carries (P<0.001; ES = 0.48 & 0.79 respectively). Overall, forwards reported greater number and frequency of collisions but lower loads per collision and velocities at collision point than backs. Microtechnology devices can also accurately, sensitively and specifically identify collision events (93.3%, 93.8% and 92.8% respectively).

CONCLUSIONS: Microtechnology is a valid means of discriminating between tackle and carry performance. Thus, microtechnology-derived collision load data can be utilised to track and monitor collision events in training and games.


Language: en

Keywords

GPS; reliability; training load; validity

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