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Performance indicators that contributed to success at the group stage andplay-off stages of the 2019 Rugby World Cup were analysed using publiclyavailable data obtained from the official tournament website using both anon-parametric statistical technique, Wilcoxon's signed rank test, and adecision rules technique from machine learning called RIPPER. Our statisticalresults found that ball carry effectiveness (percentage of ball carries thatpenetrated the opposition gain-line) and total metres gained (kick metres pluscarry metres) were found to contribute to success at both stages of thetournament and that indicators that contributed to success during the groupstages (dominating possession, making more ball carries, making more passes,winning more rucks, and making less tackles) did not contribute to success atthe play-off stage. Our results using RIPPER found that low ball carries and alow lineout success percentage jointly contributed to losing at the groupstage, while winning a low number of rucks and carrying over the gain-line asufficient number of times contributed to winning at the play-off stage of thetournament. The results emphasise the need for teams to adapt their playingstrategies from the group stage to the play-off stage at tournament in order tobe successful.

Performance Indicators Contributing To Success At The Group And Play-Off Stages Of The 2019 Rugby World Cup