Launch monitor data · AI analysis · Real improvement

Your golf data has the answers.
Now you can read them.

ShotIQ turns your launch monitor data into personalised coaching insights. It shows you exactly what separates your best shots from your worst, and what to fix next.

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7 Iron · Shot dispersion · Session 2 vs Session 1
Good shots Bad shots Session 1
Club speed (mph) Carry (yds) 72 76 80 84 88 145 130 115
→ Face angle is the dominant variable: good shots avg −2.8°, bad shots avg −9.4°. Fix face first, not path.

Three steps to smarter practice

No hardware changes, no subscriptions to other apps. Just your existing launch monitor data, finally made useful.

01
📁
Upload your session
Export a CSV from your launch monitor's app after any practice session, then drag and drop it into ShotIQ. Takes about 10 seconds.
02
🎯
Tag your shots
Mark each shot as good, ok, or bad. ShotIQ can also auto-tag based on smash factor and deviation, whichever you prefer.
03
Get your insights
AI analyses what separates your best shots from your worst, per club and per session, then tells you what to work on next.

Built around your swing,
not a pro's

Core feature
Good vs bad shot analysis
Most tools show you averages. ShotIQ compares your best shots to your worst and pinpoints the specific metric (face angle, attack angle, club path) that explains the gap, per club, every session.
Progression
Session-by-session trend tracking
Every upload adds to your profile. ShotIQ tracks whether your dominant fault is improving over time, so you know if your practice is actually working.
Benchmarking
Compare to your handicap band
Not PGA Tour benchmarks. Real data from golfers at your handicap level, so you can see where you stand on club speed, smash factor, and face variance against people actually similar to you.
Handicap
Data-derived handicap intelligence
Drop in your round scores and get more than a number. ShotIQ tells you whether your handicap is being held back by striking, short game, or course management, and quantifies the gap.

See a real session analysis

This is an actual output from a two-session launch monitor dataset. Every number is real, and this is exactly what ShotIQ produces.

shotiq.app/analysis/session-2
Session 2 · 31 March 2026 · Launch monitor session · 5 clubs analysed
Session overview
Shots analysed
47
vs 38 last session
Good shot rate
62%
↑ from 48% (S1)
Clubs hitting well
8
vs 4 last session
Estimated handicap
20–26
Based on ball data
Session 1 vs Session 2, common clubs
8 Iron
Smash factor
+0.08 ↑
Deviation
−20 → −3 yds ↑
7 Iron
Club path
−12° → −10° ↑
Club face
−5° → −3° ↑
5 Iron
Club face
−7° → −2° ↑
Distance
148 → 135 yds ↓

This session, club by club
5 Woodneeds work
Avg distance165 yds
Smash factor1.32 ↓ from 1.35
Good vs bad gap72 yards
Club path−4.8° (improved)
Smash 1.32
Avg
Path −4.8°
Better
Scratch: 1.48+ 10 hcp: 1.40+ You: 1.32 20+ hcp: 1.25–1.35
7 Ironconsistent fault
Avg distance132 yds
Club path−10.1° ↑ improved from −12.1°
Club face−2.8° ↑ improved from −5.1°
Good vs bad gap45 yds, face closes on bad shots
Scratch: 1.35+ 10 hcp: 1.28+ You: 1.20 20+ hcp: 1.18–1.25
8 Ironmost improved
Avg distance124 yds ↑ +7 yds
Smash factor1.21 ↑ from 1.13
Club face−2.8° ↑ from −11.4°
Deviation−2.7 yds ↑ from −20.3 yds
Scratch: 1.37+ 10 hcp: 1.30+ You: 1.21 20+ hcp: 1.15–1.25
Sand Wedge (chipping)short game
50 & 30 yard chip shots. Full swing metrics not applicable.
Avg carry27.8 yds (targeting 30–50)
Deviation−0.8 yds, very straight
Distance consistency11–51 yds range, inconsistent

Key improvements since last session
8 Iron: major face fix
Club face improved from −11.4° to −2.8° and face-to-path flipped from −4° to +4.9°. Deviation shrunk from 20 yards left to under 3. The best single-club improvement in the data.
Path improvement across all irons
Every iron shows a less severe out-to-in path this session. 7 iron moved from −12° to −10°. Still outside ±3° ideal but moving in the right direction.
Priority faults to fix
5 Wood & 9 Iron: smash factor too variable
Both clubs show a 70+ yard gap between best and worst shots, driven almost entirely by smash factor. Focus on centre contact before adding speed.
Club path still 2–3× outside ideal across all clubs
Ideal path is within ±3°. Your irons are averaging −7° to −10°. A 15-handicapper typically averages −5° to −6°; scratch averages ±2°.
3 swing cues for next session
1. All irons: "swing to right field"
Your path is consistently too left. Pick a spot 10 yards right of your target and swing through it. It will feel extreme, but trust the data.
2. 5 Wood: "brush the tee forward"
Your bad 5 wood shots suggest fat contact. Focus on a sweeping motion that brushes an imaginary tee out from under the ball.
3. Chipping: "same length back and through"
Direction is already good. Keep backswing and follow-through equal in length, and let swing length control distance rather than hand speed.

Golf has always been data-rich.
Now it's data-driven.

A modern launch monitor captures over a dozen data points every time you hit a ball. Most golfers upload that data, glance at a number, and forget it. ShotIQ exists to close that loop, turning raw metrics into the kind of honest, specific coaching that actually changes how you practice.

As our community grows, so does the intelligence behind the platform. We're building the first real dataset of what good golf looks like at every handicap level: benchmarks built from real golfers, not pros.

The goal is simple: every golfer who uses ShotIQ should practice more purposefully, improve measurably, and understand their own game in a way they never have before.

12+
Data points captured per shot by a modern launch monitor
0
Existing tools that compare your good shots to your bad shots
£0
Additional hardware required, works with your existing launch monitor

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