Odds API by market / Tennis

Tennis Player Aces API

The player_aces board is not posted right now. This page keeps the last measured window — 1,958settled 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 player aces is

Aces served by one player across the match. Surface and format drive it as much as the server does — a five-set major and a three-set tour event are different markets on the same name.

How we settle it. Graded against the settled ace count for that player in that match. A retirement or walkover voids rather than settles.

1
books quoting it on the next event
not posted right now; reactivates when books post it
1,958
outcomes settled in the last 4-day window it was posted

Every number on this page is measured against the live API, never copied from a spec sheet. Last measured 16 August 2026.

Books that last posted Tennis player aces

Measured on the last slate that carried it, 16 August 2026. When books post it again, this list rebuilds from whichever ones actually do.

PrizePicks

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 player aces 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.

1,958 player aces outcomes settled in the last 4-day window it was posted across 5 books. The 12 most recent:

PlayerBetActualResult
Rafael JodarOver 5.51.0lost
Rafael JodarUnder 5.51.0won
Denis ShapovalovOver 8.53.0lost
Denis ShapovalovOver 5.53.0lost
Arthur FilsOver 5.57.0won
Arthur FilsUnder 5.57.0lost
Yannick HanfmannOver 7.57.0lost
Yannick HanfmannUnder 7.57.0won
Jiri LeheckaOver 7.5void
Jiri LeheckaOver 7.5void
Matteo BerrettiniOver 8.5void
Matteo BerrettiniUnder 8.5void

Over/Under split, last posted window

The Over won 35.3% of 671 decided player aces lines (237 over, 434 under). Computed from the settled rows themselves, scoped to Tennis only.

Read off 979 Over legs out of 1,958 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 Emiliana Arango @ Iga Swiatek 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.

{
  "id": "143946",
  "sport_key": "tennis",
  "home_team": "Iga Swiatek",
  "away_team": "Emiliana Arango",
  "commence_time": "2026-08-15T15:00:00Z",
  "live": false,
  "last_update": "2026-08-15T14:47:03.319694Z",
  "bookmakers": [
    {
      "key": "prizepicks",
      "title": "PrizePicks",
      "last_update": "2026-08-15T14:47:03.319694Z",
      "link": null,
      "book_event_id": null,
      "markets": [
        {
          "key": "player_aces",
          "last_update": "2026-08-15T14:47:03.319694Z",
          "period": null,
          "outcomes": [
            {
              "name": "Over",
              "description": "Emiliana Arango",
              "price": 100,
              "point": 1.5,
              "book_updated_at": null,
              "book_version": null,
              "payout_multiplier": null,
              "dfs_odds_type": "demon",
              "last_change_at": "2026-08-14T20:47:03.036804Z",
              "line_gap": null,
              "book_outcome_id": null
            },
            {
              "name": "Under",
              "description": "Emiliana Arango",
              "price": 100,
              "point": 1.5,
              "book_updated_at": null,
              "book_version": null,
              "payout_multiplier": null,
              "dfs_odds_type": "demon",
              "last_change_at": "2026-08-14T20:47:03.036804Z",
              "line_gap": null,
              "book_outcome_id": null
            }
          ]
        }
      ]
    }
  ]
}

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 player aces 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/143946/odds?apiKey=YOUR_API_KEY&markets=player_aces"

3. After the game, get the graded outcomes with the actual stat:

curl "https://api.prop-line.com/v1/sports/tennis/events/143946/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

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