The tennis API: ATP and WTA data sources and AcesAPI

The options

• ESPN tennis JSON

  ESPN's public scoreboard for the ATP and WTA: tournaments and matches with set scores, which AcesAPI also reads.

  Live. Free, no key, undocumented. The scoreboard call answered with HTTP 200 on 2026-10-14.

• Match Charting Project

  Crowdsourced shot-by-shot data for professional matches: point-level files for men's and women's matches plus aggregate stat files, with a data dictionary.

  Last pushed 2026-09-18. Licensed CC BY-NC-SA 4.0: attribution required, non-commercial use only. Its README says it holds over 5,000 charted matches, a sample rather than every match.

• Tennis Abstract

  Jeff Sackmann's tennis statistics site, which links to his GitHub profile for data.

  Live. On 2026-10-14 the profile it links to held one public repository, the Match Charting Project; github.com/JeffSackmann/tennis_atp and tennis_wta returned 404.

• glad94/infotennis

  Python scripts that scrape the ATP Tour site: tournament results and, for matches from Antwerp 2021 on, key stats, rally analysis and stroke analysis where available.

  MIT. Last pushed 2026-01-06. Its README says the ATP site redesign after the 2023 season broke its calendar and results scrapers. atptour.com answered a scripted request with HTTP 403 on 2026-10-14.

• API Tennis

  A commercial tennis API with fixtures, live scores, standings, players, head to head, odds and draws.

  On 2026-10-14 its plans were Starter at $40 a month (8,000 requests a day, 14-day trial), Premium at $60, Business at $80 (adds in-play odds and WebSockets) and Ultra at $120.

Side by side

Example call

Carlos Alcaraz's 2025 season by surface: record, sets, tiebreaks and deciding sets on hard, clay and grass, with his current surface ratings. The same view from ESPN's feed means fetching a year of matches and tagging surfaces yourself. search_players finds the player id.

curl -X POST https://mcp.acesapi.com/v1/get_surface_splits \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
  "player_id": "3782",
  "season": 2025
}'

{"data": {"tour": "ATP", "player_id": "3782", "name": "Carlos Alcaraz", "season": 2025, "overall": {"wins": 70, "losses": 8, "win_pct": 0.897, "sets_won": 165, "sets_lost": 45, "games_won": 1214, "games_lost": 809, "games_won_pct": 0.6, "tiebreaks_won": 16, "tiebreaks_lost": 10, "deciding_sets": 20, "deciding_sets_won": 16, "sets_won_6_0": 8, "sets_lost_0_6": 0, "wins_by_retirement": 3, "retired_or_lost_to_ret": 0}, "splits": [{"surface": "hard", "wins": 37, "losses": 6, "win_pct": 0.86, "sets_won": 86, "sets_lost": 23, "games_won": 626, "games_lost": 404, "games_won_pct": 0.608, "tiebreaks_won": 5, "tiebreaks_lost": 4, "deciding_sets": 12, "deciding_sets_won": 8, "sets_won_6_0": 4, "sets_lost_0_6": 0, "wins_by_retirement": 2, "retired_or_lost_to_ret": 0}], "ratings": {"clay": {"rating": 2247, "matches": 121}, "grass": {"rating": 2135, "matches": 39}, "hard": {"rating": 2188, "matches": 205}}}}

The splits array is cut to the first surface here (the full response has hard, clay and grass). Responses are wrapped in a data object. get_surface_splits costs 3 credits.

Use the free tennis data sources instead if

• You need live scores or in-play odds. AcesAPI updates each morning.
• You are doing shot-by-shot research on charted matches and your work is non-commercial: the Match Charting Project has data we do not.
• You need doubles, serve statistics or ATP key stats. AcesAPI carries none of them.
• Your budget is zero and you are set up to parse and check ESPN's feed yourself.

Questions

Sources

• ESPN ATP scoreboard JSON
• Match Charting Project on GitHub
• Tennis Abstract
• glad94/infotennis
• API Tennis plans

Checked October 14, 2026.

See the data