JOURNAL OF SPORTS SCIENCE & MEDICINE
http://www.jssm.org
 
Research article
 

DIFFERENCES IN GAME STATISTICS BETWEEN WINNING AND LOSING RUGBY TEAMS IN THE SIX NATIONS TOURNAMENT

Enrique Ortega1, Diego Villarejo2 and José M. Palao1

1Department of Physical Activity and Sport Sciences, Catholic University of San Antonio, Murcia, Spain
2Faculty of Physical Activity and Sport Sciences, Miguel Hernández University, Elche, Spain.

Received   16 March 2009
Accepted   02 August 2009
Published   01 December 2009

© Journal of Sports Science and Medicine (2009) 8, 523 - 527

ABSTRACT  
The objective of the present study was to analyze the differences in rugby game statistics between winning and losing teams. The data from 58 games of round robin play from the Six Nations tournament from the 2003-2006 seasons were analyzed. The groups of variables studied were: number of points scored, way in which the points were scored; way teams obtained the ball and how the team used it; and technical and tactical aspects of the game. A univariate (t-test) and multivariate (discriminant) analysis of data was done. Winning teams had average values that were significantly higher in points scored, conversions, successful drops, mauls won, line breaks, possessions kicked, tackles completed, and turnovers won. Losing teams had significantly higher averages for the variables scrums lost and line-outs lost. The results showed that: a) in the phases of obtaining the ball and more specifically in scrummage and line-out, winning teams lose fewer balls than losing teams (winning teams have an efficacy of 90% in both actions); b) the winning team tends to play more with their feet when they obtain the ball, to utilize the maul as a way of attacking, and to break the defensive line more often than the losing team does; and c) On defence, winning teams recovered more balls and completed more tackles than losing teams, and the percentage of tackles completed by winning teams was 94%. The value presented could be used as a reference for practice and competition in peak performance teams.

Key words: Notational analysis, match analysis, team sports, performance indicators.
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