NBA Preseason Odds API ​

The Odds API covers NBA Preseason odds for live and upcoming games in a simple JSON API.

Not a developer? Current NBA Preseason odds can also be accessed in Excel or Google Sheets. For website owners, the odds widget brings bookmaker odds into websites with a simple HTML tag.

This page describes NBA preseason odds. Regular season NBA odds are explained here

Features ​

  • NBA Preseason odds are covered for live and upcoming games.

  • Featured markets, including moneyline, spreads, totals are covered for several bookmakers. See the full list of bookmakers.

  • Odds are refreshed at regular intervals. More information on update intervals can be found here.

  • NBA Preseason scores are covered, with final scores available for games completed up to 3 days ago.

  • Current odds data and scores are available on all usage plans, including the free usage plan.

  • Historical NBA Preseason odds data is available from Oct 2022 on paid usage plans. More information on historical odds data can be found here.

  • The API response includes deep links to bookmaker websites.

Querying NBA Preseason Odds ​

Featured markets (moneyline, spreads and totals) can be queried using the odds endpoint.

Parameters

To query current NBA Preseason odds for featured markets, the following parameters need to be provided:

  • sport   In this case basketball_nba_preseason. Data will only be returned when NBA Preseason is in season
  • regions   Regions of bookmakers to return, for example us
  • markets   For example, h2h for moneyline, spreads, totals
  • oddsFormat   decimal or american. This example uses american
  • apiKey   Get a free API key

See the documentation for more options

Example API Request

https://api.the-odds-api.com/v4/sports/basketball_nba_preseason/odds?regions=us&markets=h2h,spreads,totals&oddsFormat=american&apiKey=YOUR_API_KEY

Example API Response

The API will return live and upcoming NBA Preseason games, including start times, home and away teams, and odds from bookmakers for the specified regions and markets.

json
[{
    "id": "f317a1b167be37b46084968b4c8a9ffd",
    "sport_key": "basketball_nba_preseason",
    "sport_title": "NBA Preseason",
    "commence_time": "2026-10-08T23:00:00Z",
    "home_team": "Cleveland Cavaliers",
    "away_team": "Boston Celtics",
    "bookmakers": [
        {
            "key": "draftkings",
            "title": "DraftKings",
            "last_update": "2026-10-08T13:54:40Z",
            "markets": [
                {
                    "key": "h2h",
                    "last_update": "2026-10-08T13:54:40Z",
                    "outcomes": [
                        {"name": "Boston Celtics", "price": -155},
                        {"name": "Cleveland Cavaliers", "price": 130}
                    ]
                },
                {
                    "key": "spreads",
                    "last_update": "2026-10-08T13:54:40Z",
                    "outcomes": [
                        {"name": "Boston Celtics", "price": -115, "point": -3.5},
                        {"name": "Cleveland Cavaliers", "price": -105, "point": 3.5}
                    ]
                },
                {
                    "key": "totals",
                    "last_update": "2026-10-08T13:54:40Z",
                    "outcomes": [
                        {"name": "Over", "price": -112, "point": 221.5},
                        {"name": "Under", "price": -108, "point": 221.5}
                    ]
                }
            ]
        },
        ...

The usage cost of the API call in this example is

usage cost = [number of markets] x [number of regions] = 3 x 1 = 3 credits

See the API documentation for details.

Other Sports ​

See the full list of sports covered by The Odds API.

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