JOURNAL OF SPORTS SCIENCE & MEDICINE
http://www.jssm.org
 

Research article  


The 8th Australasian Conference on Mathematics and Computers in Sport, 3-5 July 2006, Queensland, Australia


STATISTICAL ANALYSIS OF NOTATIONAL AFL DATA USING CONTINUOUS TIME MARKOV CHAINS

Denny Meyer, Don Forbes and Stephen R. Clarke

Swinburne University of Technology, Australia.



Published 15 December 2006

© Journal of Sports Science and Medicine (2006) 5, 525 - 532
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ABSTRACT
Animal biologists commonly use continuous time Markov chain models to describe patterns of animal behaviour. In this paper we consider the use of these models for describing AFL football. In particular we test the assumptions for continuous time Markov chain models (CTMCs), with time, distance and speed values associated with each transition. Using a simple event categorisation it is found that a semi-Markov chain model is appropriate for this data. This validates the use of Markov Chains for future studies in which the outcomes of AFL matches are simulated.

KEY WORDS: Homogeneity in time, sequential dependency, semi-Markov process, football.


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