Esports Odds API

Counter-Strike 2, League of Legends and Dota 2 are three separate sport ids, not one esports feed.

13Tournaments with fixtures on the boardof 564 carried
82Fixtures, next 9 days2026-09-09 to 2026-09-18
8Market familiesfrom /v4/markets

Measured live at 2026-09-09 21:50 UTC. This page is regenerated from the API, so the numbers move.

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Quick start: Esports 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)


# Fixtures for Esports. sportId 18 is the only filter here,
# so the from and to range has to stay under 10 days. Adding tournamentId
# lifts that cap.
fixtures = get("fixtures", {
    "sportId": 18,
    "from": "2026-09-09",
    "to": "2026-09-18",
}) or []
print(len(fixtures), "fixtures in the window")

# 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 = ["181"]

# 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,bet365,1xbet",
    })
    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: 18 fixtures in the window

Esports tournament pages

Tournaments carrying the most fixtures

Read from /v4/tournaments?sportId=18 at 2026-09-09 21:50 UTC. Pass the id straight to /v4/fixtures.

Tournament Category tournamentId Fixtures scheduled
Intel Extreme Masters China ESL 42047 10
CCT South America Series CCT 51042 3
LCK Riot LoL 2454 3
LPL TJ Sports 39985 3
Rift Legends GAM3RS_X 45855 3
LEC Riot LoL 2452 2
TCL Riot LoL 26706 2
Circuito Desafiante Riot LoL 46121 2
European Pro League Series European Pro League 48529 1
NODWIN Clutch Series NODWIN Gaming 49568 1

Bookmakers pricing Esports

154 bookmakers quoted, 28 independent prices, 2 days before kick-off, on Giantx v Natus Vincere, measured 2026-09-09 21:06 UTC. Identical price tuples are grouped before the second count, because distinct slugs publish the same price and cloneOf does not track that.

and 25 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
Winner 1 Match market
Total Maps Over Under 7 Match market
Maps Handicap 15 Match market
Fifth Map Winner (incl. overtime) 1 Match market
First Map Winner (incl. overtime) 1 Match market
Fourth Map Winner (incl. overtime) 1 Match market
Second Map Winner (incl. overtime) 1 Match market
Third Map Winner (incl. overtime) 1 Match market

Read the study

Esports Odds API guide. The measurements behind this page, written up in full.

Other sports

Questions developers ask

Which sportId do I pass for Esports?

18. Read the full list from /v4/sports; the ids are stable and the slug is on the same object.

How many bookmakers price a Esports fixture?

154 bookmakers quoted Giantx v Natus Vincere, and those group into 28 independent prices once identical price tuples are collapsed, measured 2026-09-09 21:06 UTC. Group the tuples before you average, because distinct slugs publish the same price.

How do I find the live tournaments for Esports?

Call /v4/tournaments?sportId=18 and keep the rows where futureFixtures is above one. 13 rows passed that test at 2026-09-09 21:50 UTC. Confirm a circuit against /v4/fixtures grouped on tournamentId, which is the reliable way to discover one.

Pull Esports prices yourself

One key, one fixture id, one JSON shape across every sport on this site. The free tier runs on the same endpoints as the paid one.

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