Relationship between physical metrics and game success with elite rugby sevens players
Matthew R. Blair,
Simon F. Body and
Hayden G. Croft
International Journal of Performance Analysis in Sport, 2017, vol. 17, issue 4, 418-428
Abstract:
The purpose of this study was to use self-organising maps (SOMs) to visualise the multivariate relationship between physical metrics (PM’s) as measured by GPS and how they relate to a performance outcome in elite-level 7s rugby. The players heart rate was elevated in the high intensity zone for an average of 73% per game and covered an average distance of 1574 m. Over this distance, 22% of the time was spent high-speed running and a relative distance of 112 m/min was travelled. SOMs showed no reliable relationship between PMs and points difference while two groups of PMs demonstrated similar patterns. This included variables such as high-speed running and metabolic power in the first group and all of the body composition variables in the second group. The final group of variables, including RPE had no relationship with any of the other PM variables. High-speed running and metabolic power are related closely and provide information that can be used for the preparation of 7s specific training schedules. RPE was shown to be unreliable as it did not relate well to any of the PMs.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/24748668.2017.1348060 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rpanxx:v:17:y:2017:i:4:p:418-428
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RPAN20
DOI: 10.1080/24748668.2017.1348060
Access Statistics for this article
International Journal of Performance Analysis in Sport is currently edited by Peter O'Donoghue
More articles in International Journal of Performance Analysis in Sport from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().