Live data fusion
Ingest point logs, tracking feeds, video tags, wearable events, and scouting notes into a single match state.
Live match intelligence for pro tennis
AI courtside analysis while the pressure is still live.
CourtEdge AI fuses match feeds, sensor data, video events, and scouting notes into real-time tactical feedback for players and coaches.
See the system
Coach pilots coming soon
- Serve pressure +18%
- Fault risk High
- Opponent read Backhand shade
Built for elite teams
Turn every point into a tactical signal.
Real-time analytics should not feel like a spreadsheet. CourtEdge AI surfaces the next useful adjustment while the match is still moving.
AI pattern detection
Spot serve drift, return pressure, rally leakage, pace tolerance, and opponent bias as they emerge.
Coach-ready feedback
Translate stats into short tactical cues for changeovers, box communication, and post-match review.
Next-point engine
87%
Returner is cheating inside on second serve. Body serve has the cleanest pressure-adjusted edge.
Wide/body mix beats baseline by current rally context.
Contact point dropping late after defensive forehands.
Left ad-side misses share the same toss offset.
Coach cue timeline
Now
- Pressure returner with body serve before wide slice.
- Target backhand after short neutral ball.
- Slow down first-ball forehand tempo under 30-30.
The app behind the box
A live dashboard for the player, the coach, and the next point.
The landing page is only the front door. The product is a match-room dashboard that streams data, runs AI pattern checks, and turns noisy inputs into decisions a team can use on court.
Signals that matter
Know what is slipping before the scoreboard does.
CourtEdge AI tracks the tactical texture of a match: not just what happened, but what is becoming exploitable.
Serve effectiveness
68
Return pressure
74
Rally leakage
31
Opponent predictability
82
The coach loop
From raw point data to clear next action.
Streams arrive live
Match events, tracking, scouting context, and video-derived tags are normalized into one timeline.
AI tests the match
The model compares current patterns against player baselines, opponent tendencies, and pressure moments.
Feedback lands fast
Coaches get concise cues: what changed, why it matters, and which adjustment is worth trying next.
CourtEdge AI