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Network analysis of kick-in possession chains in elite Australian football
- Source :
- Journal of Sports Sciences. 38:1053-1061
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- The study aim was to investigate ball movement patterns using network analysis techniques, to compare between successful and unsuccessful outcomes and teams in the Australian Football League (AFL). This analysis focused on possession chains starting from a kick-in (n = 1,720), drawn from all games played in the 2015 AFL Premiership season (18 teams, 206 games). Player interactions were quantified using four network metrics: cluster coefficient, degree centrality, network density, and entropy. Three-way ANOVA with Tukey post hoc and ω
- Subjects :
- Competitive Behavior
Movement
Australia
030209 endocrinology & metabolism
Physical Therapy, Sports Therapy and Rehabilitation
030229 sport sciences
Football
Athletic Performance
League
Criminology
Group Processes
Sports Equipment
03 medical and health sciences
0302 clinical medicine
Soccer
Task Performance and Analysis
Elite
Humans
Orthopedics and Sports Medicine
Sociology
Subjects
Details
- ISSN :
- 1466447X and 02640414
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- Journal of Sports Sciences
- Accession number :
- edsair.doi.dedup.....c14fbfd95e95617e0a7e0f68d9ba7d75