Explaining match outcome and ladder position in the National Rugby League using team performance indicators

Woods, Carl T., Sinclair, Wade, and Robertson, Sam (2017) Explaining match outcome and ladder position in the National Rugby League using team performance indicators. Journal of Science and Medicine in Sport, 20 (12). pp. 1107-1111.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1016/j.jsams.2017.0...


Objectives: To examine the extent at which match outcome and ladder position could be explained using team performance indicators in the National Rugby League (NRL).

Methods: The dataset consisted of 13 performance indicators acquired from each NRL team across the 2016 season (n = 376 observations). Data was sorted according to apriori match outcome (win/loss) and ladder position (ranked one to 16). Given the binary and categorical nature of the response variables, two analysis approaches were used; a conditional interference classification tree and ordinal regression.

Results: Five performance indicators (‘try assists’, ‘all run meters’, ‘offloads’, ‘line breaks’ and ‘dummy half runs’) were retained within the classification tree, detecting 66% of the losses and 91% of the wins. A significant negative relationship was noted between ladder position and ‘kick metres’ (β (SE) = -0.002 (<0.001); 95% CI = -0.003 – <-0.001) and ‘dummy half runs’ (β (SE) = -0.017 (<0.012); 95% CI = -0.041 – 0.006), while a significant positive relationship was noted for ‘missed tackles’ (β (SE) = 0.019 (0.006); 95% CI = 0.006 – 0.032).

Conclusions: A unique combination of primarily attacking performance indicators provided the greatest explanation of match outcome and ladder position in the NRL. These results could be used by NRL coaches and analysts as a basis for the development of practice conditions and game strategies that may increase their teams’ likelihood of success. Beyond rugby league, this study presents analytical techniques that could be applied to other sports when examining the relationships between performance indicators and match derivatives.

Item ID: 48867
Item Type: Article (Research - C1)
ISSN: 1878-1861
Keywords: performance analysis; classification tree; ordinal regression; team sport
Date Deposited: 09 May 2017 21:45
FoR Codes: 42 HEALTH SCIENCES > 4207 Sports science and exercise > 420799 Sports science and exercise not elsewhere classified @ 100%
SEO Codes: 92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100%
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page