Hi,

I really appreciate the introduction of the new Cardio Load: it's an excellent step forward to integrate cardiovascular stress into the recovery model. To make Bevel even more complete and aligned with the models used in sport science, I would like to propose the integration of a real Training Balance Score (TBS).

The TBS is based on the ATL/CTL (Acute Training Load/Chronic Training Load) model, used by tools such as TrainingPeaks, FirstBeat and in general by Banister models. It is one of the most validated methods for describing:

• fitness level (CTL)

• level of fatigue (ATL)

• physical readiness for high performance (TSB)

• risk of overload or undertraining

Why would it be useful in Bevel:

Bevel is already very strong on HRV, RHR, temperatures and autonomic signs. Also integrating a load model based on ATL/CTL would allow:

• directly connect load → stress → recovery

• evaluate daily 'trainability' with greater precision

• identify optimal windows for intensive work

• better manage accumulation, drain and performance peaks

• offer a more complete view than autonomous indicators alone

Suggested implementation:

• use TRIMP (already present) as the basis of the daily load

• apply a different exponential decay for ATL (∼7 days) and CTL (∼42 days)

• calculate TBS = CTL — ATL

• integrate an optimal target zone (e.g. −10 to +10)

• connect TBS to the existing recovery model to offer readiness that is more sensitive to load changes

• add a screen dedicated to the TBS/ATL/CTL trend

Expected result:

Bevel would become not only one of the best apps for recovery/autonomics, but also a tool capable of providing advanced indications on training and load management, maintaining a much higher precision than that of generalist apps.

Thank you for your attention and for the excellent work you are doing.