Enduraw Intelligence

Data-Driven Enduraw Intelligence

From science-based models, Enduraw aims to extract as much information as possible from every data. Validated with elite athletes, our toolbox brings new figures to push performance forward.

◉ Weather-Adjusted Time Modeling

\[t_{\text{adjusted}} = t_{\text{raw}} + \Delta t_{\text{wind}} + \Delta t_{\text{temp}} + \Delta t_{\text{altitude}} + \Delta t_{\text{elevation}}\]
Quantify and correct the impact of weather and elevation on time-trial performance.

◉ Physiological Profiling via Historical Logs

\[\text{Profile}_{\text{athlete}} = f(\texttt{strava_account})\]
Leverage years of data to map physiological strengths and personalize training.

◉ Equipment & Morphometric Impact

\[\Delta t_{\text{wind}} = f(\texttt{height}, \texttt{weight}, \texttt{GPX route}, \texttt{wind vector})\]
Measure time impact based on athlete morphology and course specifics.

◉ Performance Discrepancy Estimation

\[\delta_{\text{perf}} = f(\texttt{temperature}, \texttt{humidity}, \texttt{previous best})\]
Explain or predict performance gaps under extreme weather conditions.

We have the formula, let's try them !

Feel free to contact us with your ideas and curiosity to work together !

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