Tennis Point-by-Point Dataset — ATP, WTA, Challenger, ITF (Public Sample)

Professional tennis data from Live Tennis API: a match index of 173,571 completed matches (2023-01-01 to 2026-08-13, 7-day embargo) across ATP, WTA, Challenger and ITF, with point-by-point score sequences for 98% of them. Point data comes in two stated provenance classes: a live-observed layer captured by our own collection with real UTC timestamps (22,031 matches / 3.18M point states; live observation began 2025-10-12 and reached full volume in February 2026), and a post-match reconstructed layer without capture timestamps covering earlier matches (not in this deposit). This record is a public sample of the full dataset, which is available free of charge for non-commercial academic research and teaching on application (research@livetennisapi.com).

Files: matches.csv.gz — all 173,571 completed matches with tournament, tier, surface, round, best-of, scheduled time (UTC) and players. players.csv.gz — 32,678 players with stable IDs, country, birth date, handedness, and a crosswalk to Jeff Sackmann's open datasets. points_sample_2026-06.csv.gz — all 951,064 live-observed point states for the 5,380 observed-covered completed matches of June 2026 (77% of that month's completed matches), in capture order with UTC timestamps. README.md and DATA_DICTIONARY.md document every column, the provenance model (this sample contains live-observed rows only) and the known limitations.

Limitations, stated plainly: the live-observed layer starts 2025-10-12 (roughly 10-13% of matches per tier so far); earlier point sequences exist only as reconstructions without timestamps; observed tapes may start mid-match or end before the final point; serve speed, serve direction and shot-level data are not included.

Version 1.0.1 corrects the v1.0.0 description, which wrongly said the data was "recorded live since January 2023" — the match index starts 2023, live point observation started 2025-10-12. Data files are unchanged; README.md is updated accordingly.

Access to the full dataset: email research@livetennisapi.com from an institutional address with one paragraph on your research and the data you need. Conditions: non-commercial research and teaching only, no redistribution of raw data, citation required.