Odds API by market / WNBA
WNBA Turnovers API
The player_turnovers board is not posted right now. This page keeps the last measured window — 76 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 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 2 October 2026.
Books that last posted WNBA turnovers
Measured on the last slate that carried it, 2 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 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.
76 turnovers outcomes settled in the last 4-day window it was posted across 1 book. The 12 most recent:
| Player | Bet | Actual | Result |
|---|---|---|---|
| A'ja Wilson | Over 2.5 | 1.0 | lost |
| Aliyah Boston | Over 1.5 | 0.0 | lost |
| Caitlin Clark | Over 4.5 | 6.0 | won |
| Jackie Young | Over 2.5 | 1.0 | lost |
| Kelsey Mitchell | Over 1.5 | 2.0 | won |
| A'ja Wilson | Under 2.5 | 1.0 | won |
| Aliyah Boston | Under 1.5 | 0.0 | won |
| Caitlin Clark | Under 4.5 | 6.0 | lost |
| Jackie Young | Under 2.5 | 1.0 | won |
| Kelsey Mitchell | Under 1.5 | 2.0 | lost |
| Chelsea Gray | Over 2.5 | 5.0 | won |
| Chelsea Gray | Under 2.5 | 5.0 | lost |
Over/Under split, last posted window
The Over won 50% of 38 decided turnovers lines (19 over, 19 under). Computed from the settled rows themselves, scoped to WNBA only.
Read off 38 Over legs out of 76 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 Dallas Wings @ 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": "wings",
"home_team_id": "wnba:1611661331",
"away_team_id": "wnba:1611661321",
"home_team_logo_url": "https://cdn.wnba.com/logos/wnba/1611661331/primary/L/logo.svg",
"away_team_logo_url": "https://cdn.wnba.com/logos/wnba/1611661321/primary/L/logo.svg",
"id": "317785",
"sport_key": "basketball_wnba",
"home_team": "Golden State Valkyries",
"away_team": "Dallas Wings",
"commence_time": "2026-10-03T01:00:00Z",
"live": false,
"is_outright": false,
"tournament": null,
"tour": null,
"last_update": "2026-10-02T15:57:45.351194Z",
"merged_from_event_ids": [
"317802"
],
"bookmakers": [
{
"key": "prizepicks",
"title": "PrizePicks",
"last_update": "2026-10-02T15:57:13.697317Z",
"link": null,
"app_link": null,
"pregame_only": false,
"book_event_id": null,
"markets": [
{
"key": "player_turnovers",
"description": "Turnovers",
"last_update": "2026-10-02T15:57:13.697317Z",
"period": null,
"suspended_at": null,
"team": null,
"line_type": "main",
"outcomes": [
{
"name": "Over",
"description": "Arike Ogunbowale",
"price": 100,
"point": 1.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": "standard",
"last_change_at": "2026-10-02T03:46:24.548417Z",
"last_seen_at": "2026-10-02T15:57:13.697317Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "wnba:1629481",
"side": null
},
{
"name": "Under",
"description": "Arike Ogunbowale",
"price": 100,
"point": 1.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": "standard",
"last_change_at": "2026-10-02T03:46:24.548417Z",
"last_seen_at": "2026-10-02T15:57:13.697317Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "wnba:1629481",
"side": null
},
{
"name": "Over",
"description": "Janelle Salaün",
"price": 100,
"point": 0.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": "standard",
"last_change_at": "2026-10-02T03:46:24.548417Z",
"last_seen_at": "2026-10-02T15:57:13.697317Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "wnba:1642767",
"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 — 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/317785/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/317785/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.