Why methods differ
Models use different assumptions: fixed lactate values, curve geometry or changes in slope. The same curve can therefore produce different LT1 or LT2 values.
- Dmax uses curve geometry
- Mader uses physiological model assumptions
- Log-log and Delta inspect other curve signals
Interpret spread correctly
When methods converge, interpretation is often more robust. Wide spread is a prompt to inspect curve, stages and protocol, not an invitation to choose the preferred value.
- Do not treat one value as absolute truth
- Check data quality before training decisions
- Keep methodology consistent across retests
For training and repeatability
Choose a traceable method for your own trend and keep it consistent. Comparing methods is more useful for Zone 2 or threshold decisions than an unexplained cutoff.
- Use LT1 and LT2 for different purposes
- Training guidance is not a medical diagnosis
- Compare your own data directly in the analysis