Swing Score Trends
Track your overall swing score, face control, path control, strike quality, consistency, and dispersion across sessions on a time-series chart.
What it is
Swing Score Trends plots the components of your golf swing over time — overall score, face control, path control, strike quality, consistency, and dispersion — on a single time-series chart. Instead of judging a session by feel, you see whether the numbers are actually trending the right way.
Trends cut through day-to-day noise. One bad range session means little; a face-control line that’s been climbing for a month means a real change has taken hold. Watching the right sub-score move is the clearest proof that the fix you’ve been working is paying off.
Who it’s for
- Golfers who want objective proof that practice is working
- Players tuning a specific component (e.g. strike quality) over time
How to take full advantage
A step-by-step guide to getting everything out of Swing Score Trends.
- 1
Watch the sub-score tied to your fix
If you’re working on path, watch the path-control line specifically — the overall score can lag a real component gain.
- 2
Judge trends, not single points
Look at the direction over several sessions, not one data point, before concluding anything.
- 3
Keep conditions consistent
Capture under similar conditions so the trend reflects your swing, not the venue.
Good to know
- • Golf-specific today, where the scoring model is most developed.
Try Swing Score Trends free
Works on any device, for all seven live sports.
Open SwingVantage FreeRelated features
Session History
Every session is saved with its full shot data, diagnosis, scores, and training recommendations. Filter by sport, date range, or club/movement type.
AI Diagnostic Engine
A rules-based engine compares your data against sport-specific benchmarks and identifies your highest-priority swing fault — ranked by severity, confidence, and impact on performance.
Retest — Prove the Change
SwingVantage reminds you when a diagnosed finding is due for a retest, then — after you re-analyze under the same conditions — shows an honest before-and-after read of whether it actually changed.