Odds API by market / WNBA
WNBA Rebounds API
The player_rebounds board is not posted right now. This page keeps the last measured window — 1,337 settled 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 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 31 October 2026.
Books that last posted WNBA rebounds
Measured on the last slate that carried it, 31 October 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 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.
1,337 rebounds outcomes settled in the last 4-day window it was posted across 19 books. The 12 most recent:
| Player | Bet | Actual | Result |
|---|---|---|---|
| Angel Reese | 13+ Rebounds | 14.0 | won |
| Angel Reese | Over 11.5 | 14.0 | won |
| Veronica Burton | Over 6.5 | 6.0 | lost |
| Veronica Burton | Under 6.5 | 6.0 | won |
| Allisha Gray | 10+ Rebounds | 6.0 | lost |
| Gabby Williams | 10+ Rebounds | 3.0 | lost |
| Kiah Stokes | 10+ Rebounds | 7.0 | lost |
| Tiffany Hayes | 3+ Rebounds | 3.0 | won |
| Gabby Williams | Over 4.5 | 3.0 | lost |
| Kiah Stokes | Over 11.5 | 7.0 | lost |
| Allisha Gray (ATL) | Over 3.5 | 6.0 | won |
| Allisha Gray (ATL) | Under 3.5 | 6.0 | lost |
Over/Under split, last posted window
The Over won 47% of 462 decided rebounds lines (217 over, 245 under, 2 push). Computed from the settled rows themselves, scoped to WNBA only.
Read off 464 Over legs out of 1,337 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 Atlanta Dream @ Golden State Valkyries 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.
{
"home_team_key": "valkyries",
"away_team_key": "dream",
"home_team_id": "wnba:1611661331",
"away_team_id": "wnba:1611661330",
"home_team_logo_url": "https://cdn.wnba.com/logos/wnba/1611661331/primary/L/logo.png",
"away_team_logo_url": "https://cdn.wnba.com/logos/wnba/1611661330/primary/L/logo.png",
"id": "651405",
"sport_key": "basketball_wnba",
"home_team": "Golden State Valkyries",
"away_team": "Atlanta Dream",
"commence_time": "2026-11-01T00:00:00Z",
"live": false,
"is_outright": false,
"tournament": null,
"tour": null,
"last_update": "2026-10-31T15:31:02.746228Z",
"merged_from_event_ids": null,
"bookmakers": [
{
"key": "bet99",
"title": "Bet99",
"last_update": "2026-10-31T15:30:33.550347Z",
"link": null,
"app_link": null,
"pregame_only": false,
"book_event_id": null,
"markets": [
{
"key": "player_rebounds",
"description": "Allisha Gray - Rebounds",
"last_update": "2026-10-31T15:29:20.937185Z",
"period": null,
"suspended_at": null,
"team": null,
"line_type": "main",
"outcomes": [
{
"name": "Over",
"description": "Allisha Gray",
"price": 100,
"point": 3.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": null,
"last_change_at": "2026-10-30T10:13:52.653484Z",
"last_seen_at": "2026-10-31T15:29:20.937185Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "wnba:1628277",
"side": null
},
{
"name": "Under",
"description": "Allisha Gray",
"price": -135,
"point": 3.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": null,
"last_change_at": "2026-10-30T10:13:52.653484Z",
"last_seen_at": "2026-10-31T15:29:20.937185Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "wnba:1628277",
"side": 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 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 — swap in a live event id from step 1 once books post it again:
curl "https://api.prop-line.com/v1/sports/basketball_wnba/events/651405/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/651405/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
Get your free WNBA odds API key
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