Research Center for Sport Sciences, Health and Human Development , Portugal.
J Sports Sci Med. 2010 Mar 1;9(1):51-5. eCollection 2010.
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 pointsWinning teams made fewer passes and won fewer turnovers on their opposition's possession.International competitions that include teams from all nations are unlikely to show statistically significant differences between winning and losing teams when the difference between the final score is 15 points or less.Regional competitions do elicit significant differences between winning and losing teams and suggest that a kicking based game plan is a more effective style of play during the S12 competition than an open running possession dominated game.
本研究旨在确定国际橄榄球理事会(IRB)和 S12 近距离比赛中区分胜负球队的橄榄球相关统计数据。对 2003 年至 2006 年期间上报的 120 场 IRB 比赛和 204 场超级十二强比赛的相关统计数据进行了存档。随后,进行了聚类分析,根据比赛最终比分的差异,建立了三个不同的比赛小组。只有近距离比赛小组被选入进一步分析(IRB 组 64 场比赛的最终比分差异小于 15 分,超级十二强组 95 场比赛的最终比分差异小于 11 分)。通过判别分析获得的结构系数(SC)分析,用于识别区分胜负球队的最有力的比赛相关统计数据。判别函数在超级十二强比赛中具有统计学意义(卡方=33.8,p<0.01),但在 IRB 比赛中不具有统计学意义(卡方=9.4,p=n.s.)。在第一种情况下,通过踢球次数(SC=0.48)、擒抱次数(SC=0.45)、争边球和传球(SC=-0.40)、传球成功次数(SC=0.39)、达阵次数(SC=-0.36)、成功争球次数(SC=-0.33)、踢触地球次数(SC=0.32)和失误次数(SC=-0.32)来区分胜负。负号表示失败球队的数值更高。超级十二强近距离比赛中的橄榄球相关统计数据能够区分胜负球队,表明基于踢球的比赛,辅以有效的防守结构,比基于控球的比赛更有可能赢得比赛。要点:
获胜球队在对方控球时传球次数更少,失误次数更少。
包括来自所有国家的球队的国际比赛,如果最终比分相差 15 分或以下,不太可能在胜负球队之间显示出具有统计学意义的差异。
区域比赛确实在胜负球队之间产生了显著差异,表明在 S12 比赛中,基于踢球的比赛计划比开放的跑动控球主导的比赛更有效。