The reproducibility of 20-min time-trial performance on a virtual cycling platform

Garcia Matta*, Andrew M. Edwards, Bart Roelands, Florentina Hettinga, Philip Hurst

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This study aimed to analyse the reproducibility of mean power output during 20-min cycling time-trials, in a remote home-based setting, using the virtual-reality cycling software, Zwift. Forty-four cyclists (11 women, 33 men; 37 ± 8 years old, 180 ± 8 cm, 80.1 ± 13.2 kg) performed 3 x 20-min time-trials on Zwift, using their own setup. Intra-class correlation coefficient (ICC), coefficient of variation (CV) and typical error (TE) were calculated for the overall sample, split into 4 performance groups based on mean relative power output (25% quartiles) and sex. Mean ICC, TE and CV of mean power output between time-trials were 0.97 [0.95—0.98], 9.36 W [8.02—11.28 W], and 3.7% [3.2—4.5], respectively. Women and men had similar outcomes (ICC: 0.96 [0.89—0.99] vs 0.96 [0.92—0.98]; TE: 8.30 W [6.25—13.10] vs. 9.72 W [8.20—12.23]; CV: 3.8% [2.9—6.1] vs. 3.7% [3.1—4.7], respectively), although cyclists from the first quartile showed a lower CV in comparison to the overall sample (Q1: 2.6% [1.9—4.1] vs. overall: 3.7% [3.2—4.5]). Our results indicate that power output during 20-minute cycling time-trials on Zwift are reproducible and provide sports scientists, coaches and athletes, benchmark values for future interventions in a virtual-reality environment.
Original languageEnglish
JournalInternational Journal of Sports Medicine
Early online date10 May 2022
Publication statusE-pub ahead of print - 10 May 2022


Dive into the research topics of 'The reproducibility of 20-min time-trial performance on a virtual cycling platform'. Together they form a unique fingerprint.

Cite this