Training Load Distribution Map

Display session load across days, workout types, duration, and perceived effort.

Direct answer: This tool keeps the entered measurements visible, applies transparent calculations or comparison rules, and avoids medical interpretation or causal claims.

Why this tool is useful

Fitness data becomes easier to interpret when measurement definitions, periods, and user-entered assumptions stay visible. This app is designed as a practical analysis layer rather than a simple single-number calculator.

How it works

The app uses the records or values you enter, applies transparent calculations or checks, and presents the underlying rows alongside the summary. It does not invent missing measurements.

Interpretation and limitations

Wearable metrics and self-reported training data can contain measurement differences, missing records, changing conditions, and inconsistent definitions. Treat flags as prompts for review, not diagnoses or guarantees.

Frequently asked questions

Does this tool diagnose health conditions?

No. It describes user-entered fitness data and planning observations.

Can I use wearable data?

Yes, when the values, units, and measurement periods are defined consistently.

Can these comparisons prove causation?

No. Observational training data can show patterns without proving why they occurred.

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