Williams, DanielDunn, MarcusWorsfold, PaulNewton, DeborahFaulkner, Steve H.d’Andrea, FrancescaWheat, Jon2025-04-042025-04-042025-03-03Williams, D., Dunn, M., Worsfold, P., Newton, D., Faulkner, S. H., d’Andrea, F., & Wheat, J. (2025). Mean stability and between-session reliability of cycling biomechanics variables in elite pursuit cyclists. Sports Biomechanics, vol(issue), pages. https://doi.org/10.1080/14763141.2025.24718051476-314110.1080/14763141.2025.2471805http://hdl.handle.net/10034/629341This is an Accepted Manuscript of an article published by Taylor & Francis in Sports Biomechanics on 03/03/2025, available online: https://doi.org/10.1080/14763141.2025.2471805The purpose of this study was to determine the number of crank revolutions required to obtain stable mean values of sagittal plane biomechanics variables, and the between-session reliability of these variables, whilst cyclists used an aerodynamic position. Eighteen elite cyclists completed a 3-min maximal bout on a cycling ergometer. Lower-limb kinematic and kinetic data were captured using 2D motion capture and force pedals. Raw data were filtered using a 4th order Butterworth low-pass filter (6 hz) and interpolated to 100 points per revolution. The middle 60 revolutions of each trial were extracted and 37 discrete and 15 time-series variables were calculated. Mean stability was assessed in all participants, and between-session reliability was analysed in a subset of 11 participants. Sequential averaging indicated more revolutions to stability than iterative intra-class correlation coefficients. Crank kinetics were more stable than joint kinematics and kinetics. For stable discrete and time-series variables, 30 and 38 revolutions are recommended, respectively. Between-day reliability for all variables was moderate to excellent, and good to excellent for crank kinetics and joint kinematics variables. Hip flexion-extension and ankle dorsiflexion kinetics were least reliable. Researchers and applied practitioners should consider these findings when planning, and interpreting results from, cycling biomechanics interventions.Print-Electronicenhttps://creativecommons.org/licenses/by-nc-nd/4.0/Biomechanicscyclingintraclass correlation coefficientsequential averagingArticle1752-6116Sports Biomechanics2025-04-04