Consistency Score
A consistency score measures how tightly grouped your metrics are across multiple swings — low variance produces a high score, because consistency is often more valuable than peak performance.
Two athletes with the same average club speed are not equally skilled if one varies by 2 mph per swing and the other by 15 mph. Consistency scores surface this dimension explicitly. In SwingVantage, consistency is computed from the standard deviation of a metric across a session and normalized to a 0–100 scale. Improving consistency is often the right first goal for beginners before chasing peak values.
Example
Ten drives with speeds of 98, 97, 99, 98, 97 score 91/100 for consistency; ten drives of 88, 105, 92, 110, 87 score 34 — same average, very different reality.
Related terms
- Baseline MeasurementA baseline measurement is the first recorded data point for a metric, captured before training begins, that all future improvement is measured against.
- Signal vs NoiseSignal is the real, repeatable pattern in your swing data; noise is the random variation that looks like a pattern but isn't. Distinguishing the two is what separates useful analysis from false precision.
- Sample SizeSample size is how many swings or shots a metric is based on — small samples produce more noise and lower confidence; larger samples produce more reliable estimates.
- Progress TrackingProgress tracking is the longitudinal record of how your key metrics change over multiple sessions and retests, displayed as a timeline that shows improvement, plateaus, and regressions.
Put this into your swing
SwingVantage can spot this in your own swing — free to start.