Conference paper
Towards in-depth Performance Analysis for Wheelchair Rugby with the Australian Steelers
Proceedings of the 5th International Conference on Mathematics in Sport, pp.72-77
MathSport International Conference, 2015 (Loughborough, United Kingdom, 29-Jun-2015–01-Jul-2015)
MathSport International
2015
Abstract
This article details the processes which the Australian wheelchair rugby (Steelers) are developing for game performance analysis. In conjunction with RMIT and the Australian Institute of Sport, the Steelers are building the most in depth and detailed game analysis system ever used in the sport. This includes live statistical and video capture as well as post-game sweeps in an effort to create new and insightful metrics for measuring performance in wheelchair rugby. Techniques include qualitative and quantitative statistical comparisons, regression and spatial analysis. Through a combination of technologies (including Sportscode and AIS tracking software), every facet of a game is being scrutinised and analysed in great detail. The processes take inspiration from sports that lead the way in performance analysis such as NBA basketball and football (soccer).
Details
- Title
- Towards in-depth Performance Analysis for Wheelchair Rugby with the Australian Steelers
- Authors
- Jason Hunt (Author) - RMIT UniversityN Sanders (Author) - Australian Paralympic CommitteeAnthony Bedford (Author) - RMITS Morgan (Author) - Australian Sports Commission
- Contributors
- Anthony Kay (Editor)Alun Owen (Editor)Ben Halkon (Editor)Mark King (Editor)
- Publication details
- Proceedings of the 5th International Conference on Mathematics in Sport, pp.72-77
- Conference details
- MathSport International Conference, 2015 (Loughborough, United Kingdom, 29-Jun-2015–01-Jul-2015)
- Publisher
- MathSport International
- Date published
- 2015
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; School of Health and Behavioural Sciences - Legacy
- Language
- English
- Record Identifier
- 99450721602621
- Output Type
- Conference paper
Metrics
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