Non-metric multidimensional performance indicator scaling reveals seasonal and team dissimilarity within the National Rugby League. Issue 4 (April 2018)

• Record Type: Journal Article
• Authors: Woods, Carl T.; Robertson, Sam; Sinclair, Wade H.; Collier, Neil French
• Is Part Of: Journal of science and medicine in sport. Volume 21:Issue 4(2018)
• Page Start: 410
• Page End: 415
• Publication Date: 2018-04
• Subjects: Data visualisation -- Sport analytics -- Team sports -- Performance analysis; Sports sciences -- Periodicals; Sports medicine -- Periodicals; Exercise -- Physiological aspects -- Periodicals; Sports -- physiology -- Periodicals; Sports Medicine -- Periodicals; Sportgeneeskunde; 617.102705
• DOI: 10.1016/j.jsams.2017.06.014
• Languages: English
• ISSNs: 1440-2440

Abstract

Abstract: Objectives: Analysing the dissimilarity of seasonal and team profiles within elite sport may reveal the evolutionary dynamics of game-play, while highlighting the similarity of individual team profiles. This study analysed seasonal and team dissimilarity within the National Rugby League (NRL) between the 2005 to 2016 seasons. Design: Longitudinal. Methods: Total seasonal values for 15 performance indicators were collected for every NRL team over the analysed period ( n = 190 observations). Non-metric multidimensional scaling was used to reveal seasonal and team dissimilarity. Results: Compared to the 2005 to 2011 seasons, the 2012 to 2016 seasons were in a state of flux, with a relative dissimilarity in the positioning of team profiles on the ordination surface. There was an abrupt change in performance indicator characteristics following the 2012 season, with the 2014 season reflecting a large increase in the total count of 'all run metres' ( d = 1.21; 90% CI = 0.56–1.83), 'kick return metres' ( d = 2.99; 90% CI = 2.12–3.84) and decrease in 'missed tackles' ( d = −2.43; 90% CI = −3.19 to −1.64) and 'tackle breaks' ( d = −2.41; 90% CI = −3.17 to −1.62). Interpretation of team ordination plots showed that certain teams evolved in (dis)similar ways over the analysed period. Conclusions: It appears that NRL match-types evolved following the 2012 season and are in a current state of flux. The modification of coaching tactics and rule changes may have contributed to these observations. Coaches could use these results when designing prospective game strategies in the NRL.