$ curl "https://api.citoapi.com/api/v1/tennis/matches?q=wimbledon&year=1980&round=F" \
-H "x-api-key: YOUR_API_KEY"
{ "items": [ { "winner": "Bjorn Borg", "loser": "John McEnroe",
"score": "1-6 7-5 6-3 6-7(16) 8-6", "surface": "Grass" } ] }Why an odds search lands here
Most teams hunting for a tennis odds API are actually building one of two things: a product that displays prices, or a model that evaluates them. For the first, you need a licensed odds vendor. For the second, the odds are the easy half — the hard half is deep, clean historical performance data to price against. That half is this API.
The evaluation layer
Closing-line analysis, surface-adjusted expectations, fatigue features from recent-form windows, head-to-head asymmetries: all of it starts from complete results and point-in-time rankings. One key gives you 1.7M results and every ranking Monday since the 1970s to build it on.
If you need both halves
Pair a licensed odds feed with this data layer. They answer 'what's the price?' — we answer 'what should it be, given 58 seasons of evidence?'
The dataset behind it
Frequently asked
Does tennisapi.dev include live betting odds?
No — we don't provide bookmaker odds. We provide the match, ranking, and head-to-head data used to build and evaluate odds models.
What should I use for odds feeds?
A licensed odds vendor. Our data pairs alongside any of them as the historical/performance layer.
Why rank for 'tennis odds api' if you don't sell odds?
Because most people searching it need the modeling layer — and we'd rather be upfront than waste your integration week.
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