NFL Odds API

NFL prices from the same endpoint as every other tournament we carry. tournamentId 31, sportId 14.

272Fixtures scheduledfrom /v4/tournaments
262Bookmakers quoted88 independent prices
100Market familiessportId 14

64 of those fixtures fall inside the next 30 days, pulled in 10 day windows on tournamentId.

Measured live at 2026-09-09 21:48 UTC. This page is regenerated from the API, so the numbers move.

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Quick start: NFL fixtures and prices

Copy it as it stands. It was run against the live API before this page rendered.

import datetime as dt
import time

import requests

API_KEY = "YOUR_API_KEY"
BASE_URL = "https://api.oddspapi.io/v4"


def get(path, params):
    """The key is the query parameter apiKey, never a header.
    Read the status code first: a 429 body is valid JSON too."""
    query = dict(params, apiKey=API_KEY)
    for attempt in range(3):
        response = requests.get(f"{BASE_URL}/{path}", params=query, timeout=180)
        if response.status_code == 429:
            time.sleep(5 * (attempt + 1))
            continue
        if response.status_code == 404:
            return None
        response.raise_for_status()
        return response.json()
    raise RuntimeError("rate limited on /" + path)


# tournamentId filters /v4/fixtures and lifts the 10 day range cap, so a
# whole month arrives in one call. It also cuts the payload about 20x.
fixtures = get("fixtures", {
    "tournamentId": 31,
    "from": "2026-09-09",
    "to": "2026-10-09",
}) or []
print(len(fixtures), "NFL fixtures")

# The same bet ships under more than one market id on several sports, so
# resolve the result market from /v4/markets by name and read every id that
# maps to it. Reading one id drops part of the board.
MAIN_MARKET_IDS = ["141", "143"]

# hasOdds is a flag, not a depth signal, and it is false on every finished
# fixture. Boards open on their own clock, so the fixtures nearest kick-off
# carry the prices, and a fixture already in play often has the result market
# suspended. Read the ones still ahead of us, soonest first.
now = dt.datetime.now(dt.timezone.utc).strftime("%Y-%m-%dT%H:%M:%S.000Z")
upcoming = sorted(
    (f for f in fixtures if f["hasOdds"] and f["startTime"] > now),
    key=lambda f: f["startTime"],
)
for fixture in upcoming[:10]:
    odds = get("odds", {
        "fixtureId": fixture["fixtureId"],
        "bookmakers": "pinnacle,bet365,draftkings",
    })
    boards = (odds or {}).get("bookmakerOdds") or {}
    printed = False
    for slug, board in boards.items():
        for market_id in MAIN_MARKET_IDS:
            market = board["markets"].get(market_id)
            if not market:
                continue
            # players is keyed "0" on a match market. On a player prop it is
            # keyed by player id, so never hardcode "0" outside this case.
            prices = {
                outcome_id: leg["players"]["0"]["price"]
                for outcome_id, leg in market["outcomes"].items()
                if leg["players"]["0"]["active"]
            }
            if prices:
                print(fixture["participant1Name"], "v",
                      fixture["participant2Name"], slug, market_id, prices)
                printed = True
    if printed:
        break
    time.sleep(1.0)

Run against the live API at 2026-09-09 21:53 UTC. First line of output: 64 NFL fixtures

Bookmakers pricing NFL

262 bookmakers quoted, 88 independent prices, on Seattle Seahawks v New England Patriots, measured 2026-09-09 21:05 UTC. Identical price tuples are grouped before the second count, because distinct slugs publish the same price and cloneOf does not track that.

and 88 more on https://oddspapi.io/sportsbooks

Counted from one /v4/odds call with no bookmaker filter, on the main result market for the sport. Regional feeds of one brand are shown once and link to that brand.

Market families

Read off /v4/markets and filtered on the sport. A family that carries many market ids is a ladder, with one id per line, so resolve a market on its name and collect every id that maps to it.

Market family Market ids Type
Regular Time Result 1 Match market
Winner (incl. overtime) 1 Match market
Total (incl. overtime) 201 Match market
Over Under First Half 120 Match market
Over Under Second Half 120 Match market
Over Under Second Half (incl. overtime) 120 Match market
Over Under First Quarter 80 Match market
Over Under Fourth Quarter 80 Match market
Over Under Fourth Quarter (incl. overtime) 80 Match market
Over Under Second Quarter 80 Match market
Over Under Third Quarter 80 Match market
Handicap (incl. overtime) 281 Match market

Read the study

Free NFL Odds API guide. The write-up behind these numbers, with the code that produced them.

Other American Football tournaments

Questions developers ask

What is the NFL tournamentId?

31, on sportId 14. Confirm it against /v4/tournaments?sportId=14 before you hardcode it; the endpoint returns the id, the slug and the count of scheduled fixtures on one object.

How many bookmakers price a NFL fixture?

262 bookmakers quoted Seattle Seahawks v New England Patriots, and those group into 88 independent prices once identical price tuples are collapsed, measured 2026-09-09 21:05 UTC. Group the tuples before you average, because distinct slugs publish the same price.

How far ahead can I pull NFL fixtures?

272 fixtures were scheduled at 2026-09-09 21:48 UTC. /v4/fixtures caps the from and to range under 10 days when sportId is the only filter, and adding tournamentId lifts that cap.

Pull the NFL board yourself

The free tier reads the same endpoints as the paid one. Pass tournamentId=31 and the payload drops about 20x against a sport wide call.

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