Modelling and analysing track cycling Omnium performances using statistical and machine learning techniques

Ofoghi, Bahadorreza, Zeleznikow, John, Dwyer, Dan and MacMahon, Clare 2013, Modelling and analysing track cycling Omnium performances using statistical and machine learning techniques, Journal of sports sciences, vol. 31, no. 9, pp. 954-962.

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Title Modelling and analysing track cycling Omnium performances using statistical and machine learning techniques
Author(s) Ofoghi, Bahadorreza
Zeleznikow, John
Dwyer, Dan
MacMahon, Clare
Journal name Journal of sports sciences
Volume number 31
Issue number 9
Start page 954
End page 962
Total pages 9
Publisher Routledge
Place of publication Oxon, England
Publication date 2013-05
ISSN 0264-0414
1466-447X
Keyword(s) Track cycling Omnium
Statistical analysis
Machine learning
Summary This article describes the utilisation of an unsupervised machine learning technique and statistical approaches (e.g., the Kolmogorov-Smirnov test) that assist cycling experts in the crucial decision-making processes for athlete selection, training, and strategic planning in the track cycling Omnium. The Omnium is a multi-event competition that will be included in the summer Olympic Games for the first time in 2012. Presently, selectors and cycling coaches make decisions based on experience and intuition. They rarely have access to objective data. We analysed both the old five-event (first raced internationally in 2007) and new six-event (first raced internationally in 2011) Omniums and found that the addition of the elimination race component to the Omnium has, contrary to expectations, not favoured track endurance riders. We analysed the Omnium data and also determined the inter-relationships between different individual events as well as between those events and the final standings of riders. In further analysis, we found that there is no maximum ranking (poorest performance) in each individual event that riders can afford whilst still winning a medal. We also found the required times for riders to finish the timed components that are necessary for medal winning. The results of this study consider the scoring system of the Omnium and inform decision-making toward successful participation in future major Omnium competitions.
Language eng
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2013, Routledge
Persistent URL http://hdl.handle.net/10536/DRO/DU:30058771

Document type: Journal Article
Collections: Faculty of Health
School of Exercise and Nutrition Sciences
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Created: Thu, 05 Dec 2013, 11:12:04 EST by Dan Dwyer

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