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Beginner

Confidence Score

Also known as: diagnostic confidence

Definition

A confidence score rates how much to trust a finding, based on how much good evidence supports it. SwingVantage shows it as a word, such as High, Moderate, or Low, rather than a number.

The confidence score is SwingVantage's way of telling you how much evidence supports a finding. Inside the engine it is a number, but you see it as a word: High, Moderate, or Low. When there is too little to go on, it can read Insufficient data. High means the pattern appeared clearly and repeatedly, so you can act on it. Low means the finding is plausible but the data was thin or uneven, so gather more evidence before a big technique change.

What feeds the score depends on the data. For a launch monitor diagnosis, three things count. Sample size matters: the same pattern across many shots earns more confidence than a handful. Shot-to-shot consistency matters: a scattered delivery earns less confidence than a tight one. Input completeness matters too: an import with more of the key data fields supports a firmer read. For a Motion Lab clip, confidence mostly reflects how clearly the camera and tracker saw you.

Confidence is shown rather than hidden. A finding with too little support is held back instead of being shown as certain. The findings you do see come with their confidence level, so you can decide how much weight to give each one. The goal is to be useful without overclaiming. A Low-confidence finding is still a hypothesis worth checking, as long as you do not treat it as fact.

Tips by skill level

Beginner tip

Do not ignore findings with lower confidence, but do not restructure your technique around them either. A Moderate or Low read is a signal worth watching — record another clean session and see whether the same finding shows up again. If it keeps showing up, it is likely real; if it disappears, it was probably noise.

Advanced note

If you want a firmer read, film from the recommended angle with steady framing, good light, and your whole body in view. Keep those conditions the same between sessions, so changes in your results reflect your swing rather than the camera.

Example

One blurry video yields a low-confidence read; a sharp, well-framed re-film of the same swing earns a firmer one.

Why it matters

Honest confidence is what separates a trustworthy tool from a confident-sounding guess. You always see how sure the system is.

How it shows up on video

Confidence is not drawn on the video. In the report, it appears as a word, such as High, Moderate, or Low, in the finding's evidence and confidence details. Clean, steady, well-lit video with your whole body in frame earns a firmer read; blurry or cropped video lowers it.

Common mistakes

  • Treating a low-confidence finding as equally actionable as a high-confidence finding — low confidence means limited evidence, not absence of a fault. Verify with a larger, better-quality session before committing to a drill change.
  • Ignoring confidence scores entirely and focusing only on the finding label. The score is the critical context that tells you how much certainty to attach to the label.
  • Not improving confidence with better-quality sessions — a cleaner clip or more launch monitor shots earns a firmer read that will confirm or change the finding.
  • Confusing confidence score with importance — a low-confidence finding can describe a genuinely important fault; confidence reflects the evidence level, not the severity of the problem.

In SwingVantage Motion Lab

In Motion Lab, each result carries one confidence read, shown as a word. It mostly reflects how clearly the camera and tracker saw you, so a cleaner re-film is the fastest way to a firmer read. Across sessions, the retest step shows whether Motion Lab's read of your motion is getting clearer. A read below the confidence bar is labeled directional.

Frequently asked questions

Is a confidence score of 100 achievable?

You will not see a number, only a word, and the system is designed never to claim certainty it cannot support. The strongest reads come from large, consistent, measured datasets. Each source also has a ceiling: an estimate from one camera can never reach the confidence a measured source can.

Why does my confidence score drop after I add a new session?

Each session gets its own confidence read, so a new session can read lower than the last. The usual reasons are capture conditions, such as light, angle, or framing, or a pattern that showed less clearly that day. If the same finding keeps appearing across clean sessions, that is useful information; if it comes and goes, the fault may be intermittent.

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