Literature DB >> 15841596

The development of position-specific performance indicators in professional rugby union.

Nic James1, Stephen D Mellalieu, Nicholas M P Jones.   

Abstract

The aim of this study was to construct a valid and reliable methodology for the analysis of performance profiles of individual playing positions within rugby union. Twenty-two matches were sampled from the domestic season of a professional male rugby union team. Key performance indicators for individual positions were developed and notated using a computerized behavioural analysis system. Performance profiles of playing positions containing data from one or more individuals were then constructed to compare intra-positional differences. Significant differences (chi-square) were observed between individuals within all the tested playing positions for the principal performance indicators (passing, carrying and tackling for the forward positions, and passing, carrying, tackling and kicking for the backs). For example, the difference between the two outside-halves in the study (P < 0.001) was illustrated by one of the players having a median of 6 successful carries for the season (95% confidence limits of 13 and 3), whereas the other had a median of 2 successful carries (95% confidence limits of 5 and 1). The findings suggest that while general positional performance profiles appear to exist, intra-positional differences may occur due to variations in an individual's style of play, the decision-making demands of the position and the effects of potential confounding variables. Multiple profiles may therefore be necessary for some playing positions to account for variation in factors such as playing conditions and the strength of the opposition.

Mesh:

Year:  2005        PMID: 15841596     DOI: 10.1080/02640410410001730106

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  15 in total

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2.  Rugby Game-Related Statistics that Discriminate Between Winning and Losing Teams in Irb and Super Twelve Close Games.

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Journal:  J Sports Sci Med       Date:  2010-03-01       Impact factor: 2.988

Review 3.  Match analysis and player characteristics in rugby sevens.

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Review 4.  A brief review of strength and ballistic assessment methodologies in sport.

Authors:  Daniel Travis McMaster; Nicholas Gill; John Cronin; Michael McGuigan
Journal:  Sports Med       Date:  2014-05       Impact factor: 11.136

5.  Fitness profiles of elite portuguese rugby union players.

Authors:  Luís Vaz; Tomaz Morais; Henrique Rocha; Nic James
Journal:  J Hum Kinet       Date:  2014-07-08       Impact factor: 2.193

6.  Spatial Awareness is Related to Moderate Intensity Running during a Collegiate Rugby Match.

Authors:  Kyle S Beyer; David H Fukuda; Amelia M Miramonti; Mattan W Hoffman; Ran Wang; Michael B LA Monica; Josh J Riffe; Satoru Tanigawa; Jeffrey R Stout; Jay R Hoffman
Journal:  Int J Exerc Sci       Date:  2016-11-01

7.  Assessing worst case scenarios in movement demands derived from global positioning systems during international rugby union matches: Rolling averages versus fixed length epochs.

Authors:  Daniel J Cunningham; David A Shearer; Neil Carter; Scott Drawer; Ben Pollard; Mark Bennett; Robin Eager; Christian J Cook; John Farrell; Mark Russell; Liam P Kilduff
Journal:  PLoS One       Date:  2018-04-05       Impact factor: 3.240

Review 8.  The what and how of video analysis research in rugby union: a critical review.

Authors:  Steve den Hollander; Ben Jones; Michael Lambert; Sharief Hendricks
Journal:  Sports Med Open       Date:  2018-06-18

9.  A New Reliable Performance Analysis Template for Quantifying Action Variables in Elite Men's Wheelchair Basketball.

Authors:  John Francis; Alun Owen; Derek M Peters
Journal:  Front Psychol       Date:  2019-01-23

10.  Relationships between physical qualities and key performance indicators during match-play in senior international rugby union players.

Authors:  Daniel J Cunningham; David A Shearer; Scott Drawer; Ben Pollard; Christian J Cook; Mark Bennett; Mark Russell; Liam P Kilduff
Journal:  PLoS One       Date:  2018-09-12       Impact factor: 3.240

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