Specialized tennis data infrastructure.

datafortennis gives software teams, analysts and researchers raw PBP and readable tennis analytics through a self-service API.

A tennis ball casting a long shadow on a red court — One point is a small event. A reliable record of every point becomes infrastructure.

Raw records and ready answers should not be separate worlds.

Analysts need granular observations. Application builders need consistent summaries. A useful tennis data product should support both while making the sample and its limitations visible.

Data philosophy

Preserve provenance, versions, nulls and exclusions instead of presenting an artificially clean archive.

API philosophy

Make common paths simple while keeping raw records available for independent calculations.

Reliability philosophy

Publish only measured guarantees and treat corrections, recovery and version changes as product behavior.

Tennis semantics deserve first-class treatment.

Match format, serve perspective, score state, tournament series and edition are not generic sports fields. Their definitions affect every downstream statistic.

Historical match and point data connects to live scores, WebSocket updates and ATP Tour predictions through shared tennis identities. Coverage lists supported tournaments and fields.