A global perspective on collision and non‐collision match characteristics in male rugby union: Comparisons by age and playing standard

Author:

Till Kevin12ORCID,Hendricks Sharief13ORCID,Scantlebury Sean14,Dalton‐Barron Nick15,Gill Nicholas6,den Hollander Steve3ORCID,Kemp Simon78ORCID,Kilding Andrew E.9,Lambert Mike3ORCID,Mackreth Peter1,O'Reilly John10,Owen Cameron1411,Spencer Kirsten9ORCID,Stokes Keith712ORCID,Tee Jason1ORCID,Tucker Ross13,Vaz Luis14ORCID,Weaving Dan1ORCID,Jones Ben123415

Affiliation:

1. Carnegie Applied Rugby Research Centre Leeds Beckett University Leeds UK

2. Leeds Rhinos Rugby League Club Leeds UK

3. Division of Physiological Sciences Department of Human Biology Faculty of Health Sciences University of Cape Town Cape Town South Africa

4. England Performance Unit, Rugby Football League Red Hall Leeds UK

5. Football Association London UK

6. Division of Health, Engineering, Computing & Science Te Huataki Waiora School of Health University of Waikato Tauranga New Zealand

7. Rugby Football Union London UK

8. London School of Hygiene and Tropical Medicine London UK

9. Sports Performance Research Institute New Zealand Auckland University of Technology Auckland New Zealand

10. Department of Sports Science and Physical Education The Chinese University of Hong Kong Shatin Hong Kong

11. British Swimming Loughborough UK

12. Department for Health University of Bath Bath UK

13. World Rugby Dublin Ireland

14. Research Center in Sports Sciences Health Sciences and Human Development (CIDESD) University of Trás‐os‐Montes and Alto Douro Vila Real Portugal

15. Research and Rugby Development Premier Rugby Ltd Twickenham UK

Abstract

ABSTRACTThis study quantified and compared the collision and non‐collision match characteristics across age categories (i.e. U12, U14, U16, U18, Senior) for both amateur and elite playing standards from Tier 1 rugby union nations (i.e. England, South Africa, New Zealand). Two‐hundred and one male matches (5911 min ball‐in‐play) were coded using computerised notational analysis, including 193,708 match characteristics (e.g. 83,688 collisions, 33,052 tackles, 13,299 rucks, 1006 mauls, 2681 scrums, 2923 lineouts, 44,879 passes, 5568 kicks). Generalised linear mixed models with post‐hoc comparisons and cluster analysis compared the match characteristics by age category and playing standard. Overall significant differences (p < 0.001) between age category and playing standard were found for the frequency of match characteristics, and tackle and ruck activity. The frequency of characteristics increased with age category and playing standard except for scrums and tries that were the lowest at the senior level. For the tackle, the percentage of successful tackles, frequency of active shoulder, sequential and simultaneous tackles increased with age and playing standard. For ruck activity, the number of attackers and defenders were lower in U18 and senior than younger age categories. Cluster analysis demonstrated clear differences in all and collision match characteristics and activity by age category and playing standard. These findings provide the most comprehensive quantification and comparison of collision and non‐collision activity in rugby union demonstrating increased frequency and type of collision activity with increasing age and playing standard. These findings have implications for policy to ensure the safe development of rugby union players throughout the world.

Funder

World Rugby

Publisher

Wiley

Subject

Orthopedics and Sports Medicine,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

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