APLGOct 29, 2020

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

arXiv:2012.02099v19 citations
AI Analysis

This research provides actionable insights for rugby teams to adapt strategies between tournament stages, though it is incremental as it applies existing methods to a specific sports context.

The study analyzed performance indicators for success in the 2019 Rugby World Cup, finding that ball carry effectiveness and total metres gained contributed to success at both group and play-off stages, while other factors like possession and tackles were only relevant in group stages.

Performance indicators that contributed to success at the group stage and play-off stages of the 2019 Rugby World Cup were analysed using publicly available data obtained from the official tournament website using both a non-parametric statistical technique, Wilcoxon's signed rank test, and a decision rules technique from machine learning called RIPPER. Our statistical results found that ball carry effectiveness (percentage of ball carries that penetrated the opposition gain-line) and total metres gained (kick metres plus carry metres) were found to contribute to success at both stages of the tournament and that indicators that contributed to success during the group stages (dominating possession, making more ball carries, making more passes, winning more rucks, and making less tackles) did not contribute to success at the play-off stage. Our results using RIPPER found that low ball carries and a low lineout success percentage jointly contributed to losing at the group stage, while winning a low number of rucks and carrying over the gain-line a sufficient number of times contributed to winning at the play-off stage of the tournament. The results emphasise the need for teams to adapt their playing strategies from the group stage to the play-off stage at tournament in order to be successful.

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