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, doi: 10.1080/02640414.2012.757344.

Attached Files
Name Description MIMEType Size Downloads

Title Modelling and analysing track cycling Omnium performances using statistical and machine learning techniques
Author(s) Ofoghi, Bahadorreza
Zeleznikow, John
Dwyer, DanORCID iD for 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
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
DOI 10.1080/02640414.2012.757344
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, Taylor & Francis
Persistent URL

Document type: Journal Article
Collections: Faculty of Health
School of Exercise and Nutrition Sciences
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 8 times in TR Web of Science
Scopus Citation Count Cited 9 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 698 Abstract Views, 31 File Downloads  -  Detailed Statistics
Created: Thu, 05 Dec 2013, 11:12:04 EST by Dan Dwyer

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact