Muriel, XabierHernández Belmonte, AlejandroMateo March, ManuelValenzuela Ruiz, Pedro LuisZabala, MikelBarranco Gil, DavidLucía Mulas, AlejandroPallarés, Jesús G.2023-03-142023-03-142023Muriel, X., Hernández-Belmonte, A., Mateo-March, M., Valenzuela, P. L., Zabala, M., Barranco-Gil, D., Lucia, A., & Pallares, J. G. (2023). Is the record power profile repeatable? A practical analysis and interpretation in professional cyclists. Journal of Strength and Conditioning Research, 37(5), 1131-1134. https://doi.org/10.1519/JSC.00000000000044191064-80111533-4287http://hdl.handle.net/11268/11889This study assessed the repeatability of the Record Power Profile (RPP, i.e., the highest power output that a cyclist can attain for different effort durations under field-based conditions). We registered the RPP of 12 professional cyclists (age 32 ± 5 years) for efforts lasting between 30 seconds and 60 minutes during 3 periods of a season, each of 23-day duration: preparation (including training data only), specific (training and competition data), and competition (competition data only) periods. Repeatability was assessed using the highest 2 (RPP 2 ), 3 (RPP 3 ), and 5 (RPP 5 ) values of mean maximum power obtained by the cyclists for each effort duration in each of the 3 periods. Smaller standard errors of measurement ( SEM ) were found as the competitive period approached, especially for short-duration efforts (i.e., 30 seconds, 1 minute, and 5 minutes, where SEM ranged from 4.3 to 12.5%, 4.1-8.5%, and 2.6-7.0% in the preparation, specific, and competition periods, respectively). However, similar SEM values were found in the 3 periods for RPP 2 , RPP 3 , or RPP 5. In conclusion, the RPP appears as a repeatable parameter for monitoring field-based performance within the different phases of the season in professional cyclists.engCiclismoRendimiento atléticoIs the Record Power Profile Repeatable? A Practical Analysis and Interpretation in Professional Cyclistsjournal article10.1519/JSC.0000000000004419restricted accessAtletaFisiología humanaAnálisis de datos