Odds API by market / WNBA
WNBA Rebounds API
Live player_rebounds 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 rebounds is
Total rebounds, offensive and defensive combined. Books quote the combined figure only; the split is available on the stats endpoint.
How we settle it. Graded against the box score's total rebounds 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 rebounds
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 rebounds 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.
27,574 rebounds outcomes settled in the last 21 days across 13 books. The 12 most recent:
| Player | Bet | Actual | Result |
|---|---|---|---|
| Jessica Lynn Shepard | Under 9.5 | 11.0 | lost |
| Jessica Lynn Shepard | Over 9.5 | 11.0 | won |
| Burrell Rae (LAS) | Over 2.5 | 1.0 | lost |
| Burrell Rae (LAS) | Under 2.5 | 1.0 | won |
| Monique Akoa Makani | Over 2.5 | 6.0 | won |
| Kamilla Cardoso | Over 15.5 | 9.0 | lost |
| Kamilla Cardoso | Under 15.5 | 9.0 | won |
| Azurá Stevens | Over 13.5 | 11.0 | lost |
| Natasha Cloud | Over 3.5 | 6.0 | won |
| Natasha Cloud | Under 3.5 | 6.0 | lost |
| Arike Ogunbowale (DAL) | To Record 1+ Rebounds | 3.0 | won |
| Awak Kuier | Over 4.5 | 0.0 | lost |
Over/Under split, last 21 days
The Over won 39.4% of 7855 decided rebounds lines (3092 over, 4763 under, 55 push). Computed from the settled rows themselves, scoped to WNBA only.
Read off 8,230 Over legs out of 27,574 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_rebounds",
"description": "Allisha Gray - Rebounds",
"last_update": "2026-09-08T13:52:35.359566Z",
"period": null,
"suspended_at": null,
"team": null,
"outcomes": [
{
"name": "Over",
"description": "Allisha Gray",
"price": 130,
"point": 3.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": null,
"last_change_at": "2026-09-02T14:51:26.938447Z",
"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": -174,
"point": 3.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": null,
"last_change_at": "2026-09-02T14:51:26.938447Z",
"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 rebounds 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_rebounds"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
Rebounds in other sports
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