Factors affecting match running performance in professional Australian football

Journal article


Ryan, Samuel, Coutts, Aaron, Hocking, Joel and Kempton, Thomas. (2017) Factors affecting match running performance in professional Australian football. International Journal of Sports Physiology and Performance. 12(9), pp. 1199 - 1204. https://doi.org/10.1123/ijspp.2016-0586
AuthorsRyan, Samuel, Coutts, Aaron, Hocking, Joel and Kempton, Thomas
Abstract

Purpose:
To examine the influence of a range of individual player characteristics and match-related factors on activity profiles during professional Australian football matches.
Methods:
Global positioning system (GPS) profiles were collected from 34 professional Australian football players from the same club over 15 competition matches. GPS data were classified into relative total and high-speed running (HSR; >20 km/h) distances. Individual player aerobic fitness was determined from a 2-km time trial conducted during the preseason. Each match was classified according to match location, season phase, recovery length, opposition strength, and match outcome. The total number of stoppages during the match was obtained from a commercial statistics provider. A linear mixed model was constructed to examine the influence of player characteristics and match-related factors on both relative total and HSR outputs.
Results:
Player aerobic fitness had a large effect on relative total and HSR distances. Away matches and matches lost produced only small reductions in relative HSR distances, while the number of rotations also had a small positive effect. Matches won, more player rotations, and playing against strong opposition all resulted in small to moderate increases in relative total distance, while early season phase, increased number of stoppages, and away matches resulted in small to moderate reductions in relative total distance.
Conclusions:
There is a likely interplay of factors that influence running performance during Australian football matches. The results highlight the need to consider a variety of contextual factors when interpreting physical output from matches.

Keywordstime–motion analysis; physical performance; linear mixed model
Year2017
JournalInternational Journal of Sports Physiology and Performance
Journal citation12 (9), pp. 1199 - 1204
PublisherHuman Kinetics Publishers
ISSN1555-0265
Digital Object Identifier (DOI)https://doi.org/10.1123/ijspp.2016-0586
Scopus EID2-s2.0-85032207722
Page range1199 - 1204
Research GroupSports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre
Place of publicationUnited States of America
EditorsJ. de Koning
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