Non-metric multidimensional performance indicator scaling reveals seasonal and team dissimilarity within the National Rugby League

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Non-metric multidimensional performance indicator scaling reveals seasonal and team dissimilarity within the National Rugby League. / Woods, Carl T.; Robertson, Sam; Sinclair, Wade H. et al.
In: Journal of Science and Medicine in Sport, Vol. 21, No. 4, 04.2018, p. 410-415.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{749bb4c91c0b4e2f8dc4815830aedc81,
title = "Non-metric multidimensional performance indicator scaling reveals seasonal and team dissimilarity within the National Rugby League",
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.",
keywords = "Data visualisation, Performance analysis, Sport analytics, Team sports, Physical education and sports, Sustainability Science",
author = "Woods, {Carl T.} and Sam Robertson and Sinclair, {Wade H.} and Collier, {Neil French}",
year = "2018",
month = apr,
doi = "10.1016/j.jsams.2017.06.014",
language = "English",
volume = "21",
pages = "410--415",
journal = "Journal of Science and Medicine in Sport",
issn = "1440-2440",
publisher = "Elsevier Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Non-metric multidimensional performance indicator scaling reveals seasonal and team dissimilarity within the National Rugby League

AU - Woods, Carl T.

AU - Robertson, Sam

AU - Sinclair, Wade H.

AU - Collier, Neil French

PY - 2018/4

Y1 - 2018/4

N2 - 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.

AB - 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.

KW - Data visualisation

KW - Performance analysis

KW - Sport analytics

KW - Team sports

KW - Physical education and sports

KW - Sustainability Science

UR - http://www.scopus.com/inward/record.url?scp=85022029856&partnerID=8YFLogxK

U2 - 10.1016/j.jsams.2017.06.014

DO - 10.1016/j.jsams.2017.06.014

M3 - Journal articles

C2 - 28705436

AN - SCOPUS:85022029856

VL - 21

SP - 410

EP - 415

JO - Journal of Science and Medicine in Sport

JF - Journal of Science and Medicine in Sport

SN - 1440-2440

IS - 4

ER -

Recently viewed

Publications

  1. Determination of 10 particle-associated multiclass polar and semi-polar pesticides from small streams using accelerated solvent extraction
  2. Erfassung und Vergleich von (mathematischen) Eingangsvoraussetzungen angehender Studierender verschiedener mathematikhaltiger Studiengänge
  3. Ammonia volatilization and yield response of energy crops after fertilization with biogas residues in a coastal marsh of Northern Germany
  4. Der Fischotter (Lutra Lutra) in Schleswig-Holstein - Signatur einer rückwandernden, bedrohten Wirbeltierart und Konsequenzen für den Naturschutz
  5. Development and prospects of degradable magnesium alloys for structural and functional applications in the fields of environment and energy
  6. How Much Do Severely Injured Athletes Experience Sport Injury-Related Growth? Contrasting Psychological, Situational, and Demographic Predictors.
  7. The importance of school leaders in school health promotion. A European call for systematic integration of health in professional development
  8. Empirische Konstrukte zur bäuerlichen Lebenswelt als kommunikativem Kristallisationskern für einen Diskurs um nachhaltige Landbewirtschaftung
  9. Investing into third generation nuclear power plants - Review of recent trends and analysis of future investments using Monte Carlo Simulation
  10. Geschlechterspezifische Einkommensunterschiede bei Selbständigen als Freiberufler und Gewerbetreibende im Vergleich zu abhängig Beschäftigten
  11. bwp@-Rezension zu Janika Grunau: Habitus und Studium. Rekonstruktion und Typisierung studentischer Bildungsorientierungen. Wiesbaden: Springer 2016
  12. Root-root interactions: extending our perspective to be more inclusive of the range of theories in ecology and agriculture using in-vivo analyses