Descriptive conversion of performance indicators in rugby union

Abstract

Outcomes of Premiership rugby matches are better predicted when relative data sets are utilised. Basic open-field abilities based around an effective kicking game, ball carrying abilities, and not conceding penalties when the opposition are in possession are the most relevant predictors of success.

Key performance indicators in Australian sub-elite rugby union

“…This has been supported previously. 2 The relationship between PI MDA and the mean minimum depth in each model was quantified using a Pearson's correlation coefficient. 18 When interpreting MDA values a negative value denotes a less important variable.…”

“…Performance Indicators (PIs) are often used to assess and quantify success in a variety of sports, 1 including rugby union (henceforth rugby). 2 Understanding what is critical to performance is important for coaches and performance staff alike, if they wish to improve skills and physical attributes. 3 The most directly attributable PIs should distinguish between winning and losing in team sports such as rugby.…”

“…Furthermore, recent studies on rugby at the elite level, have suggested there are PIs which are more important than others in having an effect on match outcome. 2,6 It appears that the frequency of kicking in general play differentiates between success and failure in domestic and international rugby matches 4 ; winning teams tend to kick away greater portions of their possession across a match. Winners in rugby also have lower error 4,7 and turnover 6,7 rates than their opposition.…”

“…10 Using relative PIs, that is, how many more or less of a particular action a team performed when compared to their opposition, may be a more effective method of analysis. 2 The use of relative numbers rather than absolute numbers can differentiate a PI's strength in determining match outcome. Using data that is relative to the opposition gives different results.…”

“…Relative data analysis in a professional domestic rugby competition was reported to be a more accurate method of assessment than analysing absolute PIs. 2 This type of analysis gives elite level rugby coaches and support staff the opportunity to be clear and evidence-based in their match evaluation strategies.…”