Collins, Neil

White, Ryan

Palczewska, Anna

Weaving, Dan

Dalton-Barron, Nicholas

Jones, Ben

2023-02

<p>This study aims to (a) quantify the movement patterns during rugby league match-play and (b) identify if differences exist by levels of competition within the movement patterns and units through the sequential movement pattern (SMP) algorithm. Global Positioning System data were analysed from three competition levels; four Super League regular (<i>regular-SL</i>), three Super League (semi-)Finals (<i>final-SL</i>) and four <i>international</i> rugby league (<i>international</i>) matches. The SMP framework extracted movement pattern data for each athlete within the dataset. Between competition levels, differences were analysed using linear discriminant analysis (LDA). Movement patterns were decomposed into their composite movement units; then Kruskal–Wallis rank-sum and Dunn post-hoc were used to show differences. The SMP algorithm found 121 movement patterns comprised mainly of "walk" and "jog" based movement units. The LDA had an accuracy score of 0.81, showing good separation between competition levels. Linear discriminant 1 and 2 explained 86% and 14% of the variance. The Kruskal–Wallis found differences between competition levels for 9 of 17 movement units. Differences were primarily present between <i>regular-SL</i> and <i>international</i> with other combinations showing less differences. Movement units which showed significant differences between competition levels were mainly composed of low velocities with mixed acceleration and turning angles. The SMP algorithm found 121 movement patterns across all levels of rugby league match-play, of which, 9 were found to show significant differences between competition levels. Of these nine, all showed significant differences present between <i>international</i> and domestic, whereas only four found differences present within the domestic levels. This study shows the SMP algorithm can be used to differentiate between levels of rugby league and that higher levels of competition may have greater velocity demands.</p>

European Journal of Sport Science, 23(2), p. 201-209

1536-7290

1746-1391

https://hdl.handle.net/1959.11/58216

en

John Wiley & Sons Ltd

Moving beyond velocity derivatives; using global positioning system data to extract sequential movement patterns at different levels of rugby league matchplay

Journal Article

Publication