EuroLeague Odds API

EuroLeague prices from the same endpoint as every other tournament we carry. tournamentId 138, sportId 11.

37Fixtures scheduledfrom /v4/tournaments
180Bookmakers quoted54 independent prices, 15 days out
84Market familiessportId 11

37 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: EuroLeague 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": 138,
    "from": "2026-09-09",
    "to": "2026-10-09",
}) or []
print(len(fixtures), "Euroleague 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 = ["111", "113"]

# 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: 37 Euroleague fixtures

Bookmakers pricing EuroLeague

180 bookmakers quoted, 54 independent prices, 15 days before kick-off, on Dubai Basketball v Real Madrid, 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 46 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
Over Under (incl. overtime) 401 Match market
Over Under Second Half (incl. overtime) 180 Match market
Over Under Fourth Quarter (incl. overtime) 100 Match market
Over Under First Half 90 Match market
Over Under Second Half 90 Match market
Over Under First Quarter 50 Match market
Over Under Fourth Quarter 50 Match market
Over Under Second Quarter 50 Match market
Over Under Third Quarter 50 Match market
Handicap (incl. overtime) 321 Match market

Read the study

The sport level write-up is on the Basketball page.

Other Basketball tournaments

Questions developers ask

What is the Euroleague tournamentId?

138, on sportId 11. Confirm it against /v4/tournaments?sportId=11 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 Euroleague fixture?

180 bookmakers quoted Dubai Basketball v Real Madrid, and those group into 54 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 Euroleague fixtures?

37 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 EuroLeague board yourself

The free tier reads the same endpoints as the paid one. Pass tournamentId=138 and the payload drops about 20x against a sport wide call.

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