Ulupinar, SueleymanInce, IzzetGencoglu, CebrailOzbay, SerhatCabuk, Salih2026-03-262026-03-2620251746-13911536-729010.1002/ejsc.123062-s2.0-105003101064https://doi.org/10.1002/ejsc.12306https://hdl.handle.net/20.500.14901/2388Çabuk, Salih/0000-0003-4148-9781; Gençoğlu, Cebrail/0000-0002-0990-9224;This study addresses a critical limitation in existing computational tools for modeling post-exercise oxygen consumption kinetics (VO2). Although exponential modeling provides practical insights into recovery dynamics, the inability to incorporate an individual's pre-exercise baseline oxygen consumption value (VO2_baseline) can lead to inaccurate interpretations. A user-defined baseline allows for more precise modeling by aligning recovery kinetics with the true physiological endpoint, representing the individual's actual recovery target after a sufficient rest. To overcome this limitation, this study employs a customized Python algorithm that incorporates user-defined baseline VO2 and uses both mono-exponential and bi-exponential models, aiming to improve upon existing analytical methods. Twenty-two male amateur soccer players participated in this study and performed a 30-s Wingate test. VO2 was measured continuously before, during, and after exercise via a metabolic gas analyzer. Both mono-exponential and bi-exponential models were used to analyze post-exercise VO2 kinetics. The analysis was performed using Origin software (as the reference tool), GedaeLab (a specialized web-based platform), and a custom-developed Python algorithm. The bi-exponential model demonstrated superior fit compared to the mono-exponential model with higher determination coefficient (R2) values. Specifically, R2 values were 0.963 +/- 0.013 and 0.805 +/- 0.078 for the bi-exponential and mono-exponential models, respectively. The bi-exponential model also provided a more accurate approximation of real post-exercise oxygen consumption integrals at both 5 min and 15 min. Additionally, variations in VO2_baseline values had different impacts on key parameters in both models, showing that higher VO2_baseline values generally improved the model fit in the mono-exponential model but had minimal impact on the bi-exponential model.eninfo:eu-repo/semantics/openAccessAlactic ContributionExponential ModelOxygen KineticsPost-ExerciseArticle