Heuristic Data
Heuristic data is information read through encoded expert rules of thumb to surface the most likely pattern quickly and consistently — a confident estimate, not a guaranteed measurement.
When a sensor or launch monitor has not measured a value directly, SwingVantage can infer a likely value from observable cues using its rule library. That inference is heuristic data: faster and more available than a measurement, and clearly labeled so it is never confused with one. Adding real measured inputs replaces or corroborates the heuristic, raising confidence.
Example
Without a launch monitor, the engine estimates a likely spin tendency from ball-flight description and labels it heuristic, not measured.
Related terms
- Heuristic AnalysisHeuristic analysis is smart, rules-and-pattern-based analysis that reads observable cues to surface what is most likely happening in your swing — a confident, data-backed estimate, not a guess.
- Evidence LabelAn evidence label separates what SwingVantage measured (a sensor or launch-monitor number) from what it estimated (an inferred likely pattern), so an estimate is never presented as a lab measurement.
- Confidence ScoreA confidence score is a 0–100 calibration of how much to trust a finding, scaled by sample size, shot-to-shot consistency, and how complete your inputs were.
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