Odds API by market / WNBA
WNBA Turnovers API
Live player_turnovers 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 turnovers is
Turnovers committed. The rare basketball prop where the Under is the popular side.
How we settle it. Graded against the box score's turnovers column.
Every number on this page is measured against the live API, never copied from a spec sheet. Last measured 30 September 2026.
Books posting WNBA turnovers
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 turnovers 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.
54 turnovers outcomes settled in the last 4 days across 1 book. The 12 most recent:
| Player | Bet | Actual | Result |
|---|---|---|---|
| Natasha Howard | Over 1.5 | 1.0 | lost |
| Natasha Howard | Under 1.5 | 1.0 | won |
| Kayla McBride | Over 1.5 | 1.0 | lost |
| Kayla McBride | Under 1.5 | 1.0 | won |
| Napheesa Collier | Over 2.5 | 2.0 | lost |
| Napheesa Collier | Under 2.5 | 2.0 | won |
| Breanna Stewart | Over 1.5 | 2.0 | won |
| Courtney Williams | Over 1.5 | 2.0 | won |
| Jonquel Jones | Over 1.5 | 2.0 | won |
| Breanna Stewart | Under 1.5 | 2.0 | lost |
| Courtney Williams | Under 1.5 | 2.0 | lost |
| Jonquel Jones | Under 1.5 | 2.0 | lost |
Over/Under split, last 4 days
The Over won 44.4% of 27 decided turnovers lines (12 over, 15 under). Computed from the settled rows themselves, scoped to WNBA only.
Read off 27 Over legs out of 54 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 @ Washington Mystics, 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": "mystics",
"away_team_key": "dream",
"home_team_id": "wnba:1611661322",
"away_team_id": "wnba:1611661330",
"home_team_logo_url": "https://cdn.wnba.com/logos/wnba/1611661322/primary/L/logo.svg",
"away_team_logo_url": "https://cdn.wnba.com/logos/wnba/1611661330/primary/L/logo.svg",
"id": "270008",
"sport_key": "basketball_wnba",
"home_team": "Washington Mystics",
"away_team": "Atlanta Dream",
"commence_time": "2026-09-30T23:00:00Z",
"live": false,
"is_outright": false,
"tournament": null,
"tour": null,
"last_update": "2026-09-30T16:08:17.081801Z",
"merged_from_event_ids": null,
"bookmakers": [
{
"key": "prizepicks",
"title": "PrizePicks",
"last_update": "2026-09-30T16:07:24.263340Z",
"link": null,
"app_link": null,
"pregame_only": false,
"book_event_id": null,
"markets": [
{
"key": "player_turnovers",
"description": "Turnovers",
"last_update": "2026-09-30T16:07:24.263340Z",
"period": null,
"suspended_at": null,
"team": null,
"outcomes": [
{
"name": "Over",
"description": "Angel Reese",
"price": 100,
"point": 2.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": "standard",
"last_change_at": "2026-09-29T13:21:11.288181Z",
"last_seen_at": "2026-09-30T16:07:24.263340Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "wnba:1642291",
"side": null
},
{
"name": "Under",
"description": "Angel Reese",
"price": 100,
"point": 2.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": "standard",
"last_change_at": "2026-09-29T13:21:11.288181Z",
"last_seen_at": "2026-09-30T16:07:24.263340Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "wnba:1642291",
"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 turnovers for one game across every book — this exact URL works right now:
curl "https://api.prop-line.com/v1/sports/basketball_wnba/events/270008/odds?apiKey=YOUR_API_KEY&markets=player_turnovers"3. After the game, get the graded outcomes with the actual stat:
curl "https://api.prop-line.com/v1/sports/basketball_wnba/events/270008/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 WNBA odds API key
1,000 requests / day. No credit card. The same key covers every sport and every market — not just this one.
Free tier includes 1,000 requests/day. Upgrade anytime.