Tennis data and stats
AcesAPI connects your AI and Codex to tennis data from AcesAPI. It covers ATP and WTA singles with tournaments, draws, matches, rankings and surface-specific Elo ratings. More
MCP connector Server URL https://mcp.acesapi.com/mcpCopy Login OAuth Tools Reads data13 get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ list_ search_
Skills 14 in the ChatGPT listing
Acesapi tool Default data source for the AcesAPI skills. dispatch Routes tennis analytics requests to the right 2 or 3 skills. Feature engineering Building leak-free features for tennis match prediction from AcesAPI data: pre-match Elo (overall and surface), rating gaps, rolling form, days of rest and recent load, head-to-head with a time guard, surface and format flags, and a symmetric pair layout. Head to head analysis Head-to-head analysis for two tennis players: wins each, sets won, record by surface and in finals, every meeting with its score, and how much weight a small head-to-head deserves. Match lookup Finding ATP and WTA matches, draws, schedules and tournaments: results by day, a tournament's draw round by round, today's and this week's schedule, finals of a season, set and tiebreak scores. Match preview One-page pre-match brief for an upcoming ATP or WTA match: tournament and surface context, both players' ratings overall and on the surface, recent form, head to head, route through the draw, and the market price if the event is covered. Odds analysis Odds math for two-way tennis markets: American to implied probability, margin, devigging (multiplicative, power, Shin), no-vig fair odds, consensus across books, favorite-longshot bias, and expected value of a price. Odds explorer Multi-book tennis moneyline comparison, best price, margin (vig) per book, and open-to-close line movement for Grand Slam, ATP Masters and WTA 1000 matches. Player scouting Scouting and comparing ATP and WTA players: profile, ranking, Elo overall and by surface, career record, titles, form, record by surface, round and opponent ranking, and ranking trajectory. Probability calibration Checking and fixing tennis win probabilities: reliability tables, calibration slope and intercept, Brier decomposition, Platt scaling, isotonic regression, temperature scaling, and calibrating against the market close. Ranking history ATP and WTA ranking lists and trajectories: the current top list, the list in force on a past date, a player's ranking history, points movement, ranking versus Elo, and seeding context. Set score modeling Modeling tennis scores without serve data: match win probability from set and game win probabilities, best-of-three versus best-of-five, set-score distributions (2-0, 2-1, 3-0), tiebreak rates, total games and games handicap lines, and the games_total and games_spread1 fields in match odds. Surface elo Tennis Elo by surface: how AcesAPI ratings are built, reading overall versus hard, clay and grass ratings, converting a rating gap to a win probability, tracking rating change over time, and building your own surface-weighted blend. Walk forward validation Time-ordered validation of tennis models: expanding or rolling windows, season-by-season walk-forward, purging, log loss, Brier score and accuracy, baselines (Elo, ranking, market close), and significance tests. 