Odds API by market / NBA
NBA Field Goals Made API
Live player_field_goals_made 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 NBA field goals made is
Field goals a kicker converts. Reads the opposite way to extra points: drives that stall in field-goal range are what pay it, so it often moves against the offence's own touchdown props.
How we settle it. Graded against the made half of the kicking group's field-goal column, which arrives packed as made-over-attempted. Kickers who attempt nothing are still listed with a zero, so the market settles rather than voiding.
Every number on this page is measured against the live API, never copied from a spec sheet. Last measured 29 October 2026.
Books posting NBA field goals made
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 NBA field goals made 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.
214 field goals made outcomes settled in the last 4 days across 1 book. The 12 most recent:
| Player | Bet | Actual | Result |
|---|---|---|---|
| Brook Lopez | Over 4.0 | 1.0 | lost |
| Darius Garland | Over 9.0 | 4.0 | lost |
| Derrick Jones Jr. | Over 4.5 | 6.0 | won |
| Keaton Wagler | Over 4.0 | 4.0 | push |
| Brook Lopez | Under 4.0 | 1.0 | won |
| Darius Garland | Under 9.0 | 4.0 | won |
| Derrick Jones Jr. | Under 4.5 | 6.0 | lost |
| Keaton Wagler | Under 4.0 | 4.0 | push |
| Kris Dunn | Over 3.5 | 2.0 | lost |
| Kris Dunn | Under 3.5 | 2.0 | won |
| Brook Lopez | Over 4.5 | 1.0 | lost |
| Brook Lopez | Under 4.5 | 1.0 | won |
Over/Under split, last 4 days
The Over won 42.6% of 101 decided field goals made lines (43 over, 58 under, 4 push). Computed from the settled rows themselves, scoped to NBA only.
Read off 107 Over legs out of 214 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 Sacramento Kings @ New Orleans Pelicans, 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": "pelicans",
"away_team_key": "kings_nba",
"home_team_id": "nba:1610612740",
"away_team_id": "nba:1610612758",
"home_team_logo_url": "https://a.espncdn.com/i/teamlogos/nba/500/no.png",
"away_team_logo_url": "https://a.espncdn.com/i/teamlogos/nba/500/sac.png",
"id": "525119",
"sport_key": "basketball_nba",
"home_team": "New Orleans Pelicans",
"away_team": "Sacramento Kings",
"commence_time": "2026-10-30T00:00:00Z",
"live": false,
"is_outright": false,
"tournament": null,
"tour": null,
"last_update": "2026-10-29T16:22:41.893044Z",
"merged_from_event_ids": null,
"bookmakers": [
{
"key": "prizepicks",
"title": "PrizePicks",
"last_update": "2026-10-29T16:21:43.752822Z",
"link": null,
"app_link": null,
"pregame_only": false,
"book_event_id": null,
"markets": [
{
"key": "player_field_goals_made",
"description": "FG Made",
"last_update": "2026-10-29T16:21:43.752822Z",
"period": null,
"suspended_at": null,
"team": null,
"line_type": "main",
"outcomes": [
{
"name": "Over",
"description": "Darius Acuff",
"price": 100,
"point": 8,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": "standard",
"last_change_at": "2026-10-29T13:18:47.630242Z",
"last_seen_at": "2026-10-29T16:21:43.752822Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "nba:1643411",
"side": null
},
{
"name": "Under",
"description": "Darius Acuff",
"price": 100,
"point": 8,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": "standard",
"last_change_at": "2026-10-29T13:18:47.630242Z",
"last_seen_at": "2026-10-29T16:21:43.752822Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "nba:1643411",
"side": null
},
{
"name": "Over",
"description": "Trey Murphy",
"price": 100,
"point": 6,
"book_updated_at": null,
"book_version": null,
"payout_multiplier": null,
"dfs_odds_type": "standard",
"last_change_at": "2026-10-29T13:48:38.148791Z",
"last_seen_at": "2026-10-29T16:21:43.752822Z",
"liquidity": null,
"liquidity_updated_at": null,
"line_gap": null,
"book_outcome_id": null,
"outcome_id": null,
"player_id": "nba:1630530",
"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 NBA events to get an event id:
curl "https://api.prop-line.com/v1/sports/basketball_nba/events?apiKey=YOUR_API_KEY"2. Pull field goals made for one game across every book — this exact URL works right now:
curl "https://api.prop-line.com/v1/sports/basketball_nba/events/525119/odds?apiKey=YOUR_API_KEY&markets=player_field_goals_made"3. After the game, get the graded outcomes with the actual stat:
curl "https://api.prop-line.com/v1/sports/basketball_nba/events/525119/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 NBA markets
Field Goals Made in other sports
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