Clustering of match running and performance indicators to assess between- and within-playing position similarity in professional rugby league-Reference-Cited by-同舟云学术

Clustering of match running and performance indicators to assess between- and within-playing position similarity in professional rugby league

Published:2022-08-03 Issue:15 Volume:40 Page:1712-1721
ISSN:0264-0414
Container-title:Journal of Sports Sciences
language:en
Short-container-title:Journal of Sports Sciences

Author:

Dalton-Barron Nicholas¹²³,Palczewska Anna⁴,Weaving Dan¹⁵,Rennie Gordon¹⁶,Beggs Clive¹,Roe Gregory¹⁷,Jones Ben¹³⁵⁷⁸

Affiliation:

1. Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK

2. The Football Association, Burton Upon Trent, UK

3. England Performance Unit, Rugby Football League, Leeds UK

4. School of Built Environment, Engineering & Computing, Leeds Beckett University, Leeds, UK

5. Leeds Rhinos Rugby League club, Leeds, UK

6. Catapult Sports, Melbourne, Australiag Bath Rugby, Bath, UK

7. School of Science and Technology, University of New England, Armidale, Australia

8. Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, the University of Cape Town and the Sports Science Insitute of South Africa, Cape Town, South Africa

Funder

associated with the work featured in this

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/02640414.2022.2100781

Reference51 articles.

1. Principal component analysis

2. Variable selection in regression-a tutorial

3. Repeated High-Intensity Exercise in a Professional Rugby League

4. Professional Rugby League Positional Match-Play Analysis Through the Use of Global Positioning System

5. A machine learning framework for sport result prediction

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