Literature DB >> 30300031

Factors Affecting Cyclists' Chances of Success in Match-Sprint Tournaments.

Kathryn E Phillips, Will G Hopkins.   

Abstract

PURPOSE: To further the understanding of elite athlete performance in complex race environments by examining the changes in cyclists' performance between solo time trials and head-to-head racing in match-sprint tournaments.
METHODS: Analyses were derived from official results of cyclists in 61 elite international sprint tournaments (2000-2016), incorporating the results of 2060 male and 1969 female head-to-head match races. Linear mixed modeling of log-transformed qualification and finish ranks was used to determine estimates of performance predictability as intraclass correlation coefficients. Correlations between qualifying performance and final tournament rank were also calculated. Chances of winning head-to-head races were estimated adjusting for the difference in the cyclists' qualifying times. All effects were evaluated using magnitude-based inference.
RESULTS: Minor differences in predictability between qualification time trial and final tournament rank were suggestive of more competitiveness among men in the overall tournament. Performance in the qualification time trial was strongly correlated with, but not fully indicative of, performance in the overall tournament. Correspondingly, being the faster qualifier had a large positive effect on the chances of winning a head-to-head race, but small substantial differences between riders remained after adjustment for time-trial differentials.
CONCLUSIONS: The present study provides further insight into how real-world competition data can be used to investigate elite athlete performance in sports where athletes must directly interact with their opponents. For elite match-sprint cyclists, qualifying time-trial performance largely determines success in the overall tournament, but there is evidence of a consistent match-race ability that modifies the chances of winning head-to-head races.

Entities:  

Keywords:  head-to-head racing; magnitude-based inference; match-race ability; performance relationships; predictability

Mesh:

Year:  2019        PMID: 30300031     DOI: 10.1123/ijspp.2018-0346

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  2 in total

Review 1.  Using Field Based Data to Model Sprint Track Cycling Performance.

Authors:  Hamish A Ferguson; Chris Harnish; J Geoffrey Chase
Journal:  Sports Med Open       Date:  2021-03-16

Review 2.  Maximal muscular power: lessons from sprint cycling.

Authors:  Jamie Douglas; Angus Ross; James C Martin
Journal:  Sports Med Open       Date:  2021-07-15
  2 in total

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