Premier League Odds API

Premier League prices from the same endpoint as every other tournament we carry. tournamentId 17, sportId 10.

35Fixtures scheduledfrom /v4/tournaments
262Bookmakers quoted83 independent prices, 3 days out
152Market familiessportId 10

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

Measured live at 2026-09-09 21:46 UTC. This page is regenerated from the API, so the numbers move.

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Quick start: Premier League 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": 17,
    "from": "2026-09-09",
    "to": "2026-10-09",
}) or []
print(len(fixtures), "Premier League 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 = ["101", "10728"]

# 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 21:51 UTC. First line of output: 20 Premier League fixtures

Bookmakers pricing Premier League

262 bookmakers quoted, 83 independent prices, 3 days before kick-off, on Aston Villa v Nottingham Forest, measured 2026-09-09 21:02 UTC. Identical price tuples are grouped before the second count, because distinct slugs publish the same price and cloneOf does not track that.

and 84 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
Full Time Result 1 Match market
Winner (incl. overtime) 1 Match market
Over Under Full Time 34 Match market
Over Under First Half 26 Match market
Over Under Second Half 26 Match market
Asian Handicap 49 Match market
Asian Handicap First Half 41 Match market
Asian Handicap Second Half 41 Match market
European Handicap 12 Match market
European Handicap First Half 8 Match market
European Handicap Second Half 8 Match market
Both Teams To Score 1 Match market

Read the study

Premier League Odds API study. The write-up behind these numbers, with the code that produced them.

Other Football tournaments

Questions developers ask

What is the Premier League tournamentId?

17, on sportId 10. Confirm it against /v4/tournaments?sportId=10 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 Premier League fixture?

262 bookmakers quoted Aston Villa v Nottingham Forest, and those group into 83 independent prices once identical price tuples are collapsed, measured 2026-09-09 21:02 UTC. Group the tuples before you average, because distinct slugs publish the same price.

How far ahead can I pull Premier League fixtures?

35 fixtures were scheduled at 2026-09-09 21:46 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 Premier League board yourself

The free tier reads the same endpoints as the paid one. Pass tournamentId=17 and the payload drops about 20x against a sport wide call.

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