Research interests
My research interests revolve around the measurement, analysis and prediction of performance in sport.
The development of technology and computing power provides opportunity to advance our current understanding of performance in many sports, finding meaningful patterns in large datasets. The large amounts of data collected in elite sport provide this opportunity. The adoption of data science within the context of sport has yielded numerous valuable insights, identifying trends and patterns. One of the most useful applications of data science is the creation of models that explain the relationships between the characteristics of performance and the outcome of performance (e.g. win/loss or score margin). Models can be used to classify previous performance or predict future performance, which can provide an evidence-base to support coaches decision making. This can help to alleviate some of the burden placed on key decision-makers (i.e. coaches, recruiters).
Teaching interests
Applied Sport Science
Publications
M Aarons, W Vickery, L Bruce, C Young, D Dwyer
(2024), Vol. 19, pp. 41-52, International Journal of Sports Science and Coaching, C1
Shots at goal in Australian Football: Historical trends, determinants of accuracy and common strategies
D Dwyer, C Young
(2024), pp. 1-6, Journal of Science and Medicine in Sport, Amsterdam, The Netherlands, C1
A framework to explain the in-match decision-making of elite Australian football coaches
M Aarons, W Vickery, L Bruce, C Young, D Dwyer
(2023), Vol. 67, Psychology of Sport and Exercise, C1
Real time prediction of match outcomes in Australian football
M Aarons, C Young, L Bruce, D Dwyer
(2023), Vol. 41, pp. 1115-1125, Journal of Sports Sciences, C1
Understanding passing network characteristics and their link to match outcome in elite Netball
Christopher Young, Lyndell Bruce, Dan Dwyer, Isaiah Di Domenico, Aaron Fox
(2023), pp. 1-9, Journal of Sports Sciences, London, Eng., C1
The effect of team formation on defensive performance in Australian football
M Aarons, C Young, L Bruce, D Dwyer
(2022), Vol. 25, pp. 178-182, Journal of Science and Medicine in Sport, Amsterdam, The Netherlands, C1
D Dwyer, I Di Domenico, C Young
(2022), Vol. 22, pp. 29-37, International Journal of Performance Analysis in Sport, London, Eng., C1
Load variations in high-performance netballers across seasons and competition levels
T Bardzinski, D Dwyer, C Young, L Piromalli, L Bruce
(2021), Vol. 21, pp. 589-599, International Journal of Performance Analysis in Sport, C1
Christopher Young, Wei Luo, Paul Gastin, Daniel Dwyer
(2020), Vol. 38, pp. 676-681, Journal of sports sciences, Abingdon, Eng., C1
The relationship between match performance indicators and outcome in Australian Football
C Young, W Luo, P Gastin, J Tran, D Dwyer
(2019), Vol. 22, pp. 467-471, Journal of Science and Medicine in Sport, C1
Understanding effective tactics in Australian football using network analysis
C Young, W Luo, P Gastin, J Lai, D Dwyer
(2019), Vol. 19, pp. 331-341, International Journal of Performance Analysis in Sport, C1
Modelling match outcome in Australian football: improved accuracy with large databases
C Young, W Luo, P Gastin, J Tran, D Dwyer
(2019), Vol. 18, pp. 80-92, International journal of computer science in sport, Warsaw, Poland, C1
Player load in elite netball: Match, training, and positional comparisons
C Young, P Gastin, N Sanders, L Mackey, D Dwyer
(2016), Vol. 11, pp. 1074-1079, International Journal of Sports Physiology and Performance, C1
Funded Projects at Deakin
No Funded Projects at Deakin found
Supervisions
No completed student supervisions to report