Current-to-final Rank Differences in 24-hour Ultra Cycling: Critical Event Phases, and the Impacts of Team Size and Performance Levels | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Current-to-final Rank Differences in 24-hour Ultra Cycling: Critical Event Phases, and the Impacts of Team Size and Performance Levels Carlo Dindorf, Jonas Dully, Lukas Maurer, Stephan Becker, Steven Simon, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3847609/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study investigates the intricate dynamics of rank-order stability by examining the current-to-final rank difference (CFRD) during 24-hour cycling races, especially how different team sizes and performance levels contribute to the temporal trends in CFRD. A comprehensive dataset covering five consecutive years (2019–2023) of a 24-hour cycling race on a 17.9 km repetitive driven road track, encompassing diverse team sizes (solo rider, or teams of 4 and 10), is used. The results indicate significant interactions between time, team size, and performance, with CFRD consistently decreasing across team sizes and performance levels over the race duration. Temporal analysis unveils critical phases with pronounced changes in CFRD, providing nuanced insights into the evolving dynamics of 24-hour races. Notable distinctions emerge between team sizes, with solo riders exhibiting unique patterns. High-performance teams consistently maintain a lower CFRD, exhibiting more predictable outcomes over the race duration. Overall, this study advances our understanding of endurance team cycling, and offers valuable insights for strategic decision making and race optimization. Biological sciences/Physiology Earth and environmental sciences/Environmental social sciences/Psychology and behaviour Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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