Audit fitness data for missing sessions, impossible durations, inconsistent units, duplicates, and suspicious gaps.
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.
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.
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.
No. It describes user-entered fitness data and planning observations.
Yes, when the values, units, and measurement periods are defined consistently.
No. Observational training data can show patterns without proving why they occurred.