Smash winners 9
15 smashes · 60%AI-POWERED MATCH INTELLIGENCE
AI BadmintonUnderstand every shot.
Import a match. AI detects rallies, builds the highlights, and turns your video into evidence-backed analysis.




AI Match Analysis
230 km/hWeakness | Backhand rear court
Pressured 11 · points lost 5Interface data is an AI capability demonstration. Results vary by video and product version.
DOMAIN FOUNDATION
Expertise that predates the model.
Love Badminton is built on long-term badminton domain work and a disciplined human-labeling system—not a generic model applied to a new sport.
Industry experience
Accumulated across badminton workflows, match context, data operations and product practice.
Human annotations
A structured data foundation created through sustained manual labeling and review.
ONE MATCH. A CLEARER WAY FORWARD.
See the patterns. Know what to change.
Let AI handle the footage, so you can focus on the choices that win or lose points.
Automatic rally detection
Finds active rallies, breaks and decisive moments across the full match—without frame-by-frame trimming.
Rally detection · Highlights · ExportAI that understands the match
Connects shots, placement, positioning and point outcomes to reveal patterns that actually affect the result.
Speed · Tactics · Weakness diagnosisEvery insight links back to video
Each conclusion points to the relevant rally, so the analysis can be reviewed, verified and used in training.
Evidence clips · Timeline · Training cuesAI MATCH DIAGNOSIS
AI sees more than
the score.
It puts every outcome back into context: where you struck the shuttle, how your opponent responded, and why the next shot won or lost the point.
- Extract speed and scoring patterns from shot events
- Combine placement, positioning and rally context to find weaknesses
- Turn the diagnosis into one clear change for your next match
Your attack is decisive.
The backhand rear court is the main point-loss entry.
Under pressure: clear deep, then recover to centre
