Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Racing patterns of elite and non-elite male Two Oceans marathon runners

Introduction: Limited information exists about the pacing patterns of elite and non-elite runners competing in the 56km Two Oceans Marathon. Objective: The main aim of the study was to establish and compare similarities and differences in pacing patterns between elite and non-elite male runners in t...

Full description

Saved in:
Bibliographic Details
Main Author: Kruger, Viljee
Other Authors: Bosch, Andrew
Format: Thesis
Language:English
English
Published: Department of Health and Rehabilitation Sciences 2025
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867614285006372864
access_status_str Open Access
author Kruger, Viljee
author2 Bosch, Andrew
author_browse Bosch, Andrew
Kruger, Viljee
author_facet Bosch, Andrew
Kruger, Viljee
author_sort Kruger, Viljee
collection Thesis
description Introduction: Limited information exists about the pacing patterns of elite and non-elite runners competing in the 56km Two Oceans Marathon. Objective: The main aim of the study was to establish and compare similarities and differences in pacing patterns between elite and non-elite male runners in the Two Oceans Marathon. Methods: Data was analysed from the Two Oceans Marathon database of finishers. Male participants across 10 races from 2007 – 2019 formed the sample group (N=25 315). The sample group was ordered fastest to slowest and subsequently divided into 8 groups (A-H) by merit of finishing times. Four timing segments (1-4) were recorded and used to calculate pace (in km/h) in each segment and mean race pace of each finisher. A Generalised Linear Mixed Effects Model (GLMM) analysis was used to examine the patterns of average pace change between groups. Results: A reduction in average pace was observed across all groups for the first three segments, with an increase in average pace for the final segment (p<0.0001). Pairwise comparison of change in pace between mean race pace across all four segments demonstrated that elite runners start the race more conservatively when compared to non- elite runners (p<0.0001). Conclusion: The findings demonstrated a parabolic type pacing pattern where elite runners demonstrated less pace variation, while non-elite runners displayed more pace variation. Non- elite runners completed the first half of the race substantially faster relative to their overall race pace. Results suggest that to achieve an optimal pacing pattern, non-elite runners should consider adopting a more realistic starting pace.
format Thesis
id oai:open.uct.ac.za:11427/41678
institution University of Cape Town (South Africa)
language English
eng
last_indexed 2026-06-10T12:49:36.562Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher Department of Health and Rehabilitation Sciences
publisherStr Department of Health and Rehabilitation Sciences
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/41678 Racing patterns of elite and non-elite male Two Oceans marathon runners Kruger, Viljee Bosch, Andrew Pacing pattern pacing strategy pacing profile ultra-marathon, variability Introduction: Limited information exists about the pacing patterns of elite and non-elite runners competing in the 56km Two Oceans Marathon. Objective: The main aim of the study was to establish and compare similarities and differences in pacing patterns between elite and non-elite male runners in the Two Oceans Marathon. Methods: Data was analysed from the Two Oceans Marathon database of finishers. Male participants across 10 races from 2007 – 2019 formed the sample group (N=25 315). The sample group was ordered fastest to slowest and subsequently divided into 8 groups (A-H) by merit of finishing times. Four timing segments (1-4) were recorded and used to calculate pace (in km/h) in each segment and mean race pace of each finisher. A Generalised Linear Mixed Effects Model (GLMM) analysis was used to examine the patterns of average pace change between groups. Results: A reduction in average pace was observed across all groups for the first three segments, with an increase in average pace for the final segment (p<0.0001). Pairwise comparison of change in pace between mean race pace across all four segments demonstrated that elite runners start the race more conservatively when compared to non- elite runners (p<0.0001). Conclusion: The findings demonstrated a parabolic type pacing pattern where elite runners demonstrated less pace variation, while non-elite runners displayed more pace variation. Non- elite runners completed the first half of the race substantially faster relative to their overall race pace. Results suggest that to achieve an optimal pacing pattern, non-elite runners should consider adopting a more realistic starting pace. 2025-09-02T10:20:42Z 2025-09-02T10:20:42Z 2025 2025-09-02T10:00:52Z Thesis / Dissertation Masters Masters http://hdl.handle.net/11427/41678 en eng application/pdf Department of Health and Rehabilitation Sciences Faculty of Health Sciences University of Cape Town
spellingShingle Pacing pattern
pacing strategy
pacing profile
ultra-marathon, variability
Kruger, Viljee
Racing patterns of elite and non-elite male Two Oceans marathon runners
thesis_degree_str Master's
title Racing patterns of elite and non-elite male Two Oceans marathon runners
title_full Racing patterns of elite and non-elite male Two Oceans marathon runners
title_fullStr Racing patterns of elite and non-elite male Two Oceans marathon runners
title_full_unstemmed Racing patterns of elite and non-elite male Two Oceans marathon runners
title_short Racing patterns of elite and non-elite male Two Oceans marathon runners
title_sort racing patterns of elite and non elite male two oceans marathon runners
topic Pacing pattern
pacing strategy
pacing profile
ultra-marathon, variability
url http://hdl.handle.net/11427/41678
work_keys_str_mv AT krugerviljee racingpatternsofeliteandnonelitemaletwooceansmarathonrunners