Baseball Odds API

Moneyline, run line and totals on every MLB fixture, plus the Asian and Triple-A circuits.

12Tournaments with fixtures on the boardof 106 carried
179Fixtures, next 9 days2026-10-25 to 2026-11-03
98Market familiesfrom /v4/markets

Measured live at 2026-10-25 04:19 UTC. This page is regenerated from the API, so the numbers move.

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Quick start: Baseball 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 Baseball. sportId 13 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": 13,
    "from": "2026-10-25",
    "to": "2026-11-03",
}) 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 = ["131", "133"]

# 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 2026-10-25 04:19 UTC. First line of output: 179 fixtures in the window

Baseball tournament pages

Tournaments carrying the most fixtures

Read from /v4/tournaments?sportId=13 at 2026-10-25 04:19 UTC. Pass the id straight to /v4/fixtures.

Tournament Category tournamentId Fixtures scheduled
Liga Mexicana del Pacifico Mexico 35356 300
Serie Nacional Cuba 46291 224
LVBP Venezuela 30997 191
LIDOM Dominican Republic 30618 134
La Pro Puerto Rico 41486 119
ABL Australia 14602 78
Arizona Fall League USA 26770 42
MLB USA 109 7
Asia Professional Championship International 40755 6
NPB Japan 1036 4

Bookmakers pricing Baseball

22 bookmakers quoted, 16 independent prices, 2 days before kick-off, on Tampa Bay Rays v Milwaukee Brewers, measured 2026-10-25 04:14 UTC. Identical price tuples are grouped before the second count, because distinct slugs publish the same price and cloneOf does not track that.

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. extra innings) 1 Match market
Over Under First To Fifth Inning 40 Match market
Over Under Sixth To Ninth Inning (incl. extra innings) 40 Match market
Over Under (incl. extra innings) 22 Match market
Over Under Eighth Inning 10 Match market
Over Under Fifth Inning 10 Match market
Over Under First Inning 10 Match market
Over Under Fourth Inning 10 Match market
Over Under Ninth Inning 10 Match market
Over Under Second Inning 10 Match market
Over Under Seventh Inning 10 Match market

Read the study

MLB Odds API: run lines and totals. The measurements behind this page, written up in full.

Other sports

Questions developers ask

Which sportId do I pass for Baseball?

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

How many bookmakers price a Baseball fixture?

22 bookmakers quoted Tampa Bay Rays v Milwaukee Brewers, and those group into 16 independent prices once identical price tuples are collapsed, measured 2026-10-25 04:14 UTC. Group the tuples before you average, because distinct slugs publish the same price.

How do I find the live tournaments for Baseball?

Call /v4/tournaments?sportId=13 and keep the rows where futureFixtures is above one. 12 rows passed that test at 2026-10-25 04:19 UTC. Confirm a circuit against /v4/fixtures grouped on tournamentId, which is the reliable way to discover one.

Pull Baseball 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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