Turn Match Data Into Better Tennis Decisions
Surge turns match footage, tracking data, or official feeds into reports coaches can use.
If your team already has tracking exports, we ingest them directly. If you only have video, the computer vision pipeline does the extraction. Either way, you get something usable before the next session.
Three ways coaching teams use Surge.
Before a match, after a match, and across a season.
Opponent Scouting
Serve locations, return habits, rally patterns, score-state tendencies. Delivered before match day.
Learn moreMatch Analysis
A straight post-match review of your own performance: what held up, what broke down, and what to address next.
Learn moreSeason Review
Track repeated patterns across tournaments, surfaces, and training blocks. Spot changes early.
Learn moreTwo ways in. Same output.
You have tracking data
If your team has Hawk-Eye exports, official match data, or tournament tracking feeds, we ingest it directly. No video processing needed. This is the fastest path.
You have video
Send match footage or practice recordings. Our computer vision pipeline extracts ball trajectory, player positioning, shot classification, and repeated tactical patterns automatically.
You get the same reporting layer
Philippe reviews the output, then we send a short report, structured match patterns, and clear talking points within 24 hours. When video is part of the input, we include linked clips.
Start with the data source your team already has. Add richer feeds later if and when you get them.
Why teams hire Surge.
Most tennis analysis still means manual tagging, hand-built review around exports, or both. Surge ingests the source data first, then Philippe reviews the output before it reaches a coach or player.
Fast by default
If tracking data exists, we use it directly. If it does not, the computer vision pipeline fills the gap before anyone starts tagging by hand.
Works with any data source
Official tracking feeds, tournament exports, broadcast footage, practice video. Start with what your team already has and expand as access improves.
Private by default
Your match files are handled confidentially. Video and data exports are deleted after processing unless you ask us to keep them.
No extra software
We send the work back in a format your team can use. No platform rollout or dashboard training.
Built close to competition.
Surge started in esports, where scouting and negotiation both depended on timing and evidence. In 2026, we built a separate computer vision and machine learning stack for tennis.
$50M+ in esports negotiations
Contract value negotiated across esports titles. That work depended on fast scouting, hard evidence, and clear positioning.
The tennis product uses different technology, but the job is similar: sort messy match information quickly and return something a team can act on.
Philippe Geladé
Coaching Advisor
Competed on the ITF Futures circuit and coached at the Kim Clijsters Academy from 2017 to 2020. Later worked on Kim Clijsters' comeback team and coached Jeline Vandromme during her 2025 US Open Girls' title run.
Philippe keeps the work grounded in the questions a player and coach actually need answered.