NCAA Basketball Odds API

Sports Game Odds gives developers a fast, dependable NCAA Basketball Odds API built for real applications, not demos. Whether you’re pulling lines for a single marquee matchup or tracking the full slate during March, our College Basketball Odds API delivers moneylines, spreads, totals, and player props for every Division I game — pre-game and live — through one clean REST endpoint.

Covering more than college hoops? The basketball odds API returns NCAAB, the NBA, the WNBA and the G League from a single sport-level request.

If you’ve worked with sports data feeds before, you know the usual headaches: stale lines, confusing docs, and pricing that punishes you the moment you scale. We built this differently.

Why developers choose our College Basketball Odds API

Most teams don’t switch odds providers because they’re bored. They switch because something broke — a feed lagged during a live game, a plan got expensive, or the documentation left them guessing. Here’s what you actually get with our NCAA Basketball Odds API.

One endpoint, everything included. Odds and results ship together. You don’t buy a separate “scores” add-on to find out who covered. Request a game and you get the teams, the lines, the live score, and the final — in the same response.

Odds from 85+ sportsbooks. Shop lines across the full market, spot where books disagree, and surface the best available number for any College Basketball game. This is the raw material behind arbitrage tools, +EV screens, and odds comparison sites.

Built to scale with you. Start small during the regular season, then handle the tournament traffic spike without renegotiating your contract. Rate limits flex to match your plan.

What the NCAA Basketball Odds API covers

Every market you’d expect for College Basketball, plus the granular stuff most feeds skip:

• Moneylines — 2-way and 3-way markets
• Point spreads and handicaps — including alternate lines
• Totals — over/under points, plus alternates
• Player props — points, rebounds, assists, threes, and more
• Game props — team totals, first-half and second-half markets
• Period markets — halves and other segment-specific lines

Coverage spans the full Division I men’s slate from November tip-off through Selection Sunday and the whole tournament run.

College Basketball player props, done properly

Player prop data is where a lot of APIs fall apart. Ours doesn’t. You get hundreds of College Basketball player and game proposition markets, covering both pre-game and live betting across every major matchup. That’s enough depth to power a DFS product, a props-comparison tool, or a research pipeline studying how prop lines move as tip-off approaches. See the College Basketball player prop odds API for the full market list across every sport we cover.

Odds and results, in one response

Sports Game Odds is a genuine one-stop feed for College Basketball. Every request can return:

• Live and upcoming NCAA Basketball games
• Home and away teams
• Player statistics
• Full odds — spreads, totals, moneylines, and props

No stitching two vendors together. No reconciling mismatched game IDs at 11pm.

Quick Start: Your First College Basketball Odds API Call

Pulling NCAA Basketball odds takes a single HTTP request. Here’s the simplest way to get going:

https://api.sportsgameodds.com/v2/events?apiKey=YOUR_API_KEY&oddsAvailable=true&leagueID=NCAAB&limit=10

That returns up to 10 College Basketball games with every available market — spreads, totals, moneylines, and player props — for games where odds are currently open.

To pull a specific player prop market, use the oddIDs parameter. For example, to fetch points over/unders for College Basketball players:

https://api.sportsgameodds.com/v2/events?apiKey=YOUR_API_KEY&oddsAvailable=true&leagueID=NCAAB&oddIDs=points-PLAYER_ID-game-ou-over,points-PLAYER_ID-game-ou-under

Swap PLAYER_ID for a specific player ID to narrow it down to one player. You can pass a comma-separated list of any oddID values to grab multiple markets in a single call. The oddID format is {statID}-{statEntityID}-{periodID}-{betTypeID}-{sideID}.

Common College Basketball oddID patterns:

• Points over/under: points-PLAYER_ID-game-ou-over
• Rebounds over/under: rebounds-PLAYER_ID-game-ou-over
• Assists over/under: assists-PLAYER_ID-game-ou-over
• Three-pointers made: threePointersMade-PLAYER_ID-game-ou-over
• First-half spread: use the 1h period ID in place of game

Tips to keep responses fast:

• Add bookmakerID=fanduel,draftkings,caesars,betmgm to limit results to the books you actually care about
• Use includeOpposingOdds=true so you only specify the over side — the under comes back automatically
• Use includeAltLines=true to get the full ladder of alternative lines, but apply it selectively since it grows the response
• Keep your oddIDs list tight — only request the markets your app is actively using

This matters more in College Basketball than almost anywhere else: with 360+ Division I teams and dozens of games on a busy weeknight, tight queries are the difference between a snappy app and a sluggish one. Billing helps here too — one object is one game no matter how many markets it returns, so a 40-game weeknight costs 40 objects.

What a College Basketball response looks like

Every event returns an odds object keyed by oddID. Here's a trimmed game total, with the bookmaker list cut to two books:

{
  "eventID": "...",
  "leagueID": "NCAAB",
  "odds": {
    "points-all-game-ou-over": {
      "oddID": "points-all-game-ou-over",
      "opposingOddID": "points-all-game-ou-under",
      "marketName": "Over/Under",
      "statID": "points",
      "statEntityID": "all",
      "periodID": "game",
      "betTypeID": "ou",
      "sideID": "over",
      "fairOdds": "-104",
      "fairOverUnder": "142.5",
      "bookOdds": "-110",
      "bookOverUnder": "142.5",
      "byBookmaker": {
        "draftkings": { "odds": "-110", "overUnder": "142.5", "available": true },
        "betmgm": { "odds": "-105", "overUnder": "143.5", "available": true }
      }
    }
  }
}

A statEntityID of all means the market covers the whole game rather than one team or player — that's how game totals are distinguished from team totals (home / away) and player props (a player ID). Odds and lines both come back as strings, which preserves the leading + on plus-money prices. Swap game for 1h in the oddID to get the first-half version of the same market, which is heavily traded in college hoops.

The full list of prop types is in the stats reference, and markets & coverage shows which books support what.

Technical specifications

API architecture

Data update speed

See pricing for the update frequency on each tier.

Developer resources

• Interactive docs with live examples and copy-paste code snippets
• AI-friendly (“vibe coding”) documentation for fast prototyping
• SDKs for Python, JavaScript, and more
• Postman collection — pre-built requests ready to run
• Dedicated technical support on paid plans

You should be pulling live College Basketball odds within minutes of getting your key.

How teams use our College Basketball Odds API

How we compare

Choosing an odds provider usually comes down to a few practical questions. Here’s how Sports Game Odds stacks up against what you’ll find elsewhere.

We also publish direct comparisons if you’re evaluating specific vendors: vs The Odds API, vs OpticOdds, vs SportsDataIO, vs Sportradar.

Related basketball leagues

Need odds beyond the college game? We cover the rest of basketball too:

• NBA Odds API
• WNBA Odds API
• NBA G League Odds API

Documentation that gets you moving

Our interactive API documentation includes:

• Every endpoint with its parameters
• Live request and response examples
• Code snippets in multiple languages
• Authentication and webhook setup guides
• Error handling references

View Documentation