Odds API by market / WNBA
WNBA Points API
Live player_points odds across every book that posts it, in one REST call — and, unlike any other odds API, every one of those outcomes settled against the official result once play ends.
No credit card. 1,000 requests / day on the free tier.
What WNBA points is
Points scored by one player. The highest-volume basketball prop, and the one that reprices fastest on a late scratch.
How we settle it. Graded against the box score's points column.
Every number on this page is measured against the live API, never copied from a spec sheet. Last measured 8 September 2026.
Books posting WNBA points
Measured live, not listed from a spec. Coverage moves — a book that has not put its board up yet will not appear until it does, which is exactly what this list is for.
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 WNBA points 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.
40,441 points outcomes settled in the last 21 days across 13 books. The 12 most recent:
| Player | Bet | Actual | Result |
|---|---|---|---|
| Chennedy Carter (LVA) | Over 15.5 | 23.0 | won |
| Chennedy Carter (LVA) | Under 15.5 | 23.0 | lost |
| Jewell Loyd (LVA) | Over 8.5 | 10.0 | won |
| Chennedy Carter | Over 14.5 | 23.0 | won |
| Chennedy Carter | Under 14.5 | 23.0 | lost |
| Kelsey Plum | Over 20.5 | 38.0 | won |
| Arike Ogunbowale | Over 24.5 | 12.0 | lost |
| Arike Ogunbowale | Under 24.5 | 12.0 | won |
| Jessica Shepard | Over 24.5 | 21.0 | lost |
| Courtney Vandersloot | Over 7.5 | — | void |
| Courtney Vandersloot | Under 7.5 | — | void |
| Awak Kuier | Over 6.5 | 3.0 | lost |
Over/Under split, last 21 days
The Over won 42.6% of 11740 decided points lines (5004 over, 6736 under, 14 push). Computed from the settled rows themselves, scoped to WNBA only.
Read off 12,266 Over legs out of 40,441 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 Connecticut Sun @ Atlanta Dream, 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.
{
"home_team_key": "dream",
"away_team_key": "sun_wnba",
"home_team_id": "wnba:1611661330",
"away_team_id": "wnba:1611661323",
"id": "187960",
"sport_key": "basketball_wnba",
"home_team": "Atlanta Dream",
"away_team": "Connecticut Sun",
"commence_time": "2026-09-17T23:30:00Z",
"live": false,
"last_update": "2026-09-08T13:53:37.033202Z",
"merged_from_event_ids": null,
"bookmakers": [
{
"key": "fanduel",
"title": "FanDuel",
"last_update": "2026-09-08T13:52:35.359566Z",
"link": null,
"app_link": null,
"pregame_only": false,
"book_event_id": null,
"markets": [
{
"key": "player_points",
"description": "Allisha Gray - Points",
"last_update": "2026-09-08T13:52:35.359566Z",
"period": null,
"suspended_at": null,
"team": null,
"outcomes": [
{
"name": "Over",
"description": "Allisha Gray",
"price": -106,
"point": 18.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": null,
"last_change_at": "2026-09-01T04:15:06.886250Z",
"last_seen_at": "2026-09-08T13:52:35.359566Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "wnba:1628277"
},
{
"name": "Under",
"description": "Allisha Gray",
"price": -122,
"point": 18.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": null,
"last_change_at": "2026-09-01T04:15:06.886250Z",
"last_seen_at": "2026-09-08T13:52:35.359566Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "wnba:1628277"
}
]
}
]
}
]
}The response shape is the-odds-api compatible — events, bookmakers, markets, outcomes — so migrating is usually a base URL change.
Try it
1. List WNBA events to get an event id:
curl "https://api.prop-line.com/v1/sports/basketball_wnba/events?apiKey=YOUR_API_KEY"2. Pull points for one game across every book — this exact URL works right now:
curl "https://api.prop-line.com/v1/sports/basketball_wnba/events/187960/odds?apiKey=YOUR_API_KEY&markets=player_points"3. After the game, get the graded outcomes with the actual stat:
curl "https://api.prop-line.com/v1/sports/basketball_wnba/events/187960/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.
Related endpoints
Other WNBA markets
Points in other sports
Get your free WNBA 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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