Probabilistic modelling to give advice about rowing split measures to support strategy and pacing in race planning

Bahadorreza Ofoghi, John Zeleznikow and Clare MacMahon

International Journal of Performance Analysis in Sport, 2011, vol. 11, issue 2, 239-253

Abstract: In this work, we focused on understanding the required performance levels throughout each section of rowing races to finish in certain positions. We conducted our analysis in terms of each 500-m sector of those races for which historical performance data existed. We considered the ranking and time taken in each sector by a given boat as two important predictor factors/attributes that can be taken into account for strategic pacing planning in standard rowing races. We developed a novel hybrid data mining approach based on probabilistic modelling and combinatorial optimization to find the optimal permutation of split measures (times and rankings) that can maximize the chance of a boat winning certain medals in a standard 2000-m rowing race. We further extended our probabilistic model to analyse rowing data from other perspectives. In this research, we considered race type (fast, medium, slow) as well as country profiles. The latter analysis could be used for strategic planning in terms of combating opposing countries’ strategies by understanding their racing patterns.

Date: 2011
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/24748668.2011.11868545 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rpanxx:v:11:y:2011:i:2:p:239-253

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RPAN20

DOI: 10.1080/24748668.2011.11868545

Access Statistics for this article

International Journal of Performance Analysis in Sport is currently edited by Peter O'Donoghue

More articles in International Journal of Performance Analysis in Sport from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().