Odds API by market / WNBA
WNBA Points + Rebounds + Assists API
The player_points_rebounds_assists board is not posted right now. This page keeps the last measured window — 828 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.
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What WNBA points + rebounds + assists is
The PRA combo — three box-score columns summed into one line. Books abbreviate it inconsistently (PRA, Pts+Rebs+Asts); the API normalises it to one key.
How we settle it. Graded against the sum of the three box-score columns, computed from the same box score that settles each component market.
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 points + rebounds + assists
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 points + rebounds + assists 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.
828 points + rebounds + assists outcomes settled in the last 4-day window it was posted across 16 books. The 12 most recent:
| Player | Bet | Actual | Result |
|---|---|---|---|
| Jordin Canada | 12+ Points + Rebounds + Assists | 16.0 | won |
| Gabby Williams | 26+ Points + Rebounds + Assists | 30.0 | won |
| Veronica Burton | 18+ Points + Rebounds + Assists | 18.0 | won |
| Gabby Williams | 25+ Points + Rebounds + Assists | 30.0 | won |
| Veronica Burton | Over 17.5 | 18.0 | won |
| Tiffany Hayes | 19+ Points + Rebounds + Assists | 19.0 | won |
| Allisha Gray | Over 20.5 | 32.0 | won |
| Jordin Canada | Over 21.5 | 16.0 | lost |
| Rhyne Howard | Over 22.5 | 29.0 | won |
| Veronica Burton (GSV) | Over 18.5 | 18.0 | lost |
| Veronica Burton (GSV) | Under 18.5 | 18.0 | won |
| Angel Reese | Over 29.5 | 35.0 | won |
Over/Under split, last posted window
The Over won 61.3% of 235 decided points + rebounds + assists lines (144 over, 91 under). Computed from the settled rows themselves, scoped to WNBA only.
Read off 235 Over legs out of 828 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_points_rebounds_assists",
"description": "Allisha Gray - Points + Rebounds + Assists",
"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": -115,
"point": 20.5,
"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": -115,
"point": 20.5,
"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 points + rebounds + assists 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_points_rebounds_assists"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
Points + Rebounds + Assists in other sports
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