Odds API by market / NCAAB
NCAAB Steals API
The player_steals board is not posted right now. This page keeps the last measured window — 246 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 NCAAB steals is
Steals by one player. A low-count market that traditional books post thinly and DFS books post in depth.
How we settle it. Graded against the box score's steals column.
Every number on this page is measured against the live API, never copied from a spec sheet. Last measured 13 November 2026.
Books that last posted NCAAB steals
Measured on the last slate that carried it, 13 November 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 NCAAB steals 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.
246 steals outcomes settled in the last 4-day window it was posted across 2 books. The 12 most recent:
| Player | Bet | Actual | Result |
|---|---|---|---|
| Jordan Burks | Over 0.5 | 2.0 | won |
| Jordan Burks | Under 0.5 | 2.0 | lost |
| Anthony Felesi | Over 0.5 | 2.0 | won |
| P.J. Haggerty | Over 1.5 | — | void |
| Jordan Pope | Over 1.5 | 1.0 | lost |
| Isaac Asuma | Over 1.5 | 1.0 | lost |
| Kashie Natt | Over 0.5 | 3.0 | won |
| Anthony Felesi | Under 0.5 | 2.0 | lost |
| Kashie Natt | Under 0.5 | 3.0 | lost |
| Markus Burton | Over 1.5 | 0.0 | lost |
| Rodney Rice | Over 1.5 | 1.0 | lost |
| Nojus Indrusaitis | Over 1.5 | 1.0 | lost |
Over/Under split, last posted window
The Over won 37% of 135 decided steals lines (50 over, 85 under). Computed from the settled rows themselves, scoped to NCAAB only.
Read off 140 Over legs out of 246 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 Georgetown @ Clemson 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": "clemson",
"away_team_key": "georgetown",
"home_team_id": null,
"away_team_id": null,
"home_team_logo_url": null,
"away_team_logo_url": null,
"id": "725683",
"sport_key": "basketball_ncaab",
"home_team": "Clemson",
"away_team": "Georgetown",
"commence_time": "2026-11-13T23:00:00Z",
"live": false,
"is_outright": false,
"tournament": null,
"tour": null,
"last_update": "2026-11-13T17:18:58.938252Z",
"merged_from_event_ids": null,
"bookmakers": [
{
"key": "underdog",
"title": "Underdog Fantasy",
"last_update": "2026-11-13T17:18:49.719510Z",
"link": null,
"app_link": null,
"pregame_only": false,
"book_event_id": null,
"markets": [
{
"key": "player_steals",
"description": "Steals",
"last_update": "2026-11-13T17:18:49.719510Z",
"period": null,
"suspended_at": null,
"team": null,
"line_type": "main",
"outcomes": [
{
"name": "Over",
"description": "Kayvaun Mulready",
"price": 164,
"point": 1.5,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": 1.29,
"dfs_odds_type": null,
"last_change_at": "2026-11-13T15:41:47.074823Z",
"last_seen_at": "2026-11-13T17:18:49.719510Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": null,
"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 NCAAB events to get an event id:
curl "https://api.prop-line.com/v1/sports/basketball_ncaab/events?apiKey=YOUR_API_KEY"2. Pull steals 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_ncaab/events/725683/odds?apiKey=YOUR_API_KEY&markets=player_steals"3. After the game, get the graded outcomes with the actual stat:
curl "https://api.prop-line.com/v1/sports/basketball_ncaab/events/725683/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 NCAAB markets
Steals in other sports
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