
Tennis game plans and scouting
RallyIQ puts a tennis scouting desk inside your AI. It is built on the Match Charting Project, where volunteers have recorded every shot of more than 11,000 professional matches: serve direction, stroke, direction, return depth and how each point ended.
Example path ·
https://bigballi.com/RallyIQ/mcpRallyIQ: tennis scouting models built from 11,822 shot-by-shot charted ATP and WTA matches (the Match Charting Project). Use for a matchup (forecast, where to serve, how to return, rally patterns to favour and avoid), for one player's strengths, weaknesses and serving habits, for why a charted match went the way it did, and for rankings such as direction choice, execution or the most exploitable serve. Values marked per_100 are points gained or lost per 100 shots (or serves, or returns) against an average tour player in the same position. Margins are 90% intervals. Charted matches lean toward big events and well-known players, so forecasts are scouting estimates, not betting lines. The data is licensed CC BY-NC-SA 4.0, which requires attribution to the Match Charting Project wherever these numbers appear.
1 in the ChatGPT listing