Odds API by market / Tennis
Tennis Games Won API
The player_games_won board is not posted right now. This page keeps the last measured window — 1,219settled outcomes — and reactivates on its own the first build after books post the market again. The endpoint, the response shape and the free tier work today.
No credit card. 1,000 requests / day on the free tier.
What Tennis games won is
Games won by one player across the match. It is a per-player market despite reading like a match total, so the outcome names the player.
How we settle it. Graded against that player's game count for the match.
Every number on this page is measured against the live API, never copied from a spec sheet. Last measured 10 September 2026.
Books that last posted Tennis games won
Measured on the last slate that carried it, 10 September 2026. When books post it again, this list rebuilds from whichever ones actually do.
Line shopping across all of them is one request — every book arrives in the same bookmakers array, not one call per book. Add ?bookmakers= to narrow it, or use /best-line for the best price per line already ranked.
Recently settled Tennis games won outcomes
These are real rows out of the API, not an illustration. Each one was a price on a board before the event and carries the actual figure it was graded against afterwards. No other odds API returns that last column — they stop at the price.
1,219 games won outcomes settled in the last 4-day window it was posted across 5 books. The 12 most recent:
| Player | Bet | Actual | Result |
|---|---|---|---|
| Barbora Palicova | Over 11.5 | — | void |
| Barbora Palicova | Under 11.5 | — | void |
| Fiona Ferro | Over 12.5 | — | void |
| Alexander Zverev | Over 19.5 | 19.0 | lost |
| Alexander Zverev | Under 19.5 | 19.0 | won |
| Botic Van De Zandschulp | Over 8.5 | 8.0 | lost |
| Botic Van de Zandschulp | Over 14.5 | 8.0 | lost |
| Botic Van de Zandschulp | Under 14.5 | 8.0 | won |
| Coco Gauff | Over 12.5 | 15.0 | won |
| Coco Gauff | Over 12.5 | 15.0 | won |
| Mirra Andreeva | Over 11.5 | 14.0 | won |
| Mirra Andreeva | Under 11.5 | 14.0 | lost |
Over/Under split, last posted window
The Over won 55.7% of 345 decided games won lines (192 over, 153 under). Computed from the settled rows themselves, scoped to Tennis only.
Read off 617 Over legs out of 1,219 settled outcomes on this market. The rest are Unders and milestone legs (“1+”, “2+”) that some books price here too, and a threshold rung is not an Over.
A few days of one market describes a few days — it is not an edge. Pull the full history through /exports/resolved-props for a sample worth modelling on.
Live response
Captured from the real endpoint on Harrison C / Skupski N @ Bolelli S / Vavassori A while it was posted, trimmed to one book and three outcomes so the shape stays readable. The full response carries every book and every line, alternates included, in the same call.
Live sample unavailable at build time — the curl below is the call that produces it.
The response shape is the-odds-api compatible — events, bookmakers, markets, outcomes — so migrating is usually a base URL change.
Try it
1. List Tennis events to get an event id:
curl "https://api.prop-line.com/v1/sports/tennis/events?apiKey=YOUR_API_KEY"2. Pull games won for one game across every book — swap in a live event id from step 1 once books post it again:
curl "https://api.prop-line.com/v1/sports/tennis/events/209077/odds?apiKey=YOUR_API_KEY&markets=player_games_won"3. After the game, get the graded outcomes with the actual stat:
curl "https://api.prop-line.com/v1/sports/tennis/events/209077/results?apiKey=YOUR_API_KEY"Steps 1 and 2 run on the free tier. Step 3 — prop resolution — starts on Hobby at $9/mo. See pricing.
Get your free Tennis odds API key
1,000 requests / day. No credit card. The same key covers every sport and every market — not just this one.
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