JOURNAL OF SPORTS SCIENCE & MEDICINE

Research article

RUGBY GAME-RELATED STATISTICS THAT DISCRIMINATE BETWEEN WINNING AND LOSING TEAMS IN IRB AND SUPER TWELVE CLOSE GAMES

Luis Vaz1, Michele Van Rooyen2 and Jaime Sampaio1

1Research Center for Sport Sciences, Health and Human Development, Portugal 2Department of Human Biology, University of Cape Town and The Sports Science Institute of South Africa

Received   26 August 2009 Accepted   03 December 2009 Published   01 March 2010

© Journal of Sports Science and Medicine (2010) 9, 51 - 55

ABSTRACT

The aim of the current study was to identify the Rugby game- related statistics that discriminated between winning and losing teams in IRB and S12 close games. Archival data reported to game-related statistics from 120 IRB games and 204 Super Twelve games played between 2003 and 2006. Afterwards, a cluster analysis was conducted to establish, according to game final score differences, three different match groups. Only the close games group was selected for further analysis (IRB n = 64 under 15 points difference and Super Twelve n = 95 under 11 points difference). An analysis to the structure coefficients (SC) obtained through a discriminant analysis allowed to identify the most powerful game-related statistics in discriminating between winning and losing teams. The discriminant functions were statistically significant for Super Twelve games (Chi-square = 33.8, p < 0.01), but not for IRB games (Chi- square = 9.4, p = n.s.). In the first case, winners and losers were discriminated by possessions kicked (SC = 0.48), tackles made (SC = 0.45), rucks and pass (SC = -0.40), passes completed (SC = 0. 39), mauls won (SC = -0.36), turnovers won (SC = -0.33), kicks to touch (SC = 0.32) and errors made (SC = -0.32). The minus sign denotes higher values in losing teams. Rugby game-related statistics were able to discriminate between winners and losers in Super Twelve close games and suggest that a kicking based game supported by an effective defensive structure is more likely to win matches than a possession based one. Key words: Game-related statistics, performance profiles, match analysis.

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