A sports data API delivers scores, fixtures and player stats. An odds API delivers bookmakers' prices for outcomes. They're different products, they're often used together, and only one is what matched betting runs on.
A sports data API gives you scores, fixtures, players and statistics. An odds API gives you bookmakers' prices for outcomes. They are different products that solve different problems, and the words sit close enough together that people search for one meaning the other. You often need both. But an odds API is specifically about prices, and for matched betting or arbitrage the prices, matched against exchange lay odds, are the part that matters.
A sports data API gives you the facts of the game: fixtures and kick-off times, live scores, results, league tables, and player and team statistics. Providers in this space, such as the well-known stats and scores feeds, exist to answer questions like who is playing, what is the score, and how has this team performed. The data describes the sport itself.
None of that is a price. A sports data API can tell you Arsenal are playing Chelsea on Saturday, and later that the match finished 2-1. It will not tell you what odds a bookmaker offered on Arsenal to win. That is a different question, answered by a different kind of feed.
An odds API gives you bookmakers' prices for outcomes: the decimal odds a book is showing on each selection in a market. For the same Arsenal vs Chelsea fixture, an odds feed carries the match_odds market with a price on Arsenal, on the draw, and on Chelsea, from each book that prices it. We cover the fundamentals in what an odds API is.
The unit of an odds API is a price attached to a selection, not a fact about the game. That is the whole distinction. A sports data API describes the event; an odds API describes what the market thinks the event is worth. For more on the fields and how selections nest inside markets, see how odds data is structured.
| Sports data API | Odds API | |
|---|---|---|
| Answers | Who's playing, the score, the stats | What price each book offers on each outcome |
| Core unit | A fact about the event | A price attached to a selection |
| Example field | final_score, possession, lineup | match_odds price on Arsenal, per book |
| Who supplies it | Stats and scores providers | Odds feeds and aggregators |
| Drives | Score widgets, previews, fantasy tools | Oddsmatchers, arbitrage scanners, comparison |
Often, yes. Many products use the two together: a sports data API supplies the fixture list, the scores and the context, and an odds API supplies the prices layered on top. A previews site might show the upcoming match, the form table, and the current book prices side by side. Each feed does the half it is built for.
But which one is load-bearing depends on what you are building. If your product is about the sport, the sports data API leads. If your product is about prices, the odds API leads and the sports data is context. For matched betting, arbitrage and odds comparison, the prices are the product, so the odds feed is the one that has to be right.
Matched betting and arbitrage run on prices, and specifically on a relationship between two prices. The opportunity is a bookmaker back price paired with the current exchange lay price for the same selection. No amount of scores or player statistics produces that. It comes only from odds data, matched against a lay source.
This is where an odds feed earns its keep beyond a bare price list. OddsRelay delivers each bookmaker back price already paired with the current Betfair, Smarkets or Matchbook lay price, with a rating and the qualifying_loss computed. Here is the shape of one matched row (illustrative, not live data):
{
"event": "Arsenal vs Chelsea",
"market": "match_odds",
"selection": "Arsenal",
"back": { "bookmaker": "bet365", "odds": 2.10 },
"lay": { "exchange": "betfair", "odds": 2.14, "liquidity": 1840 },
"rating": 98.1,
"qualifying_loss": -0.12
// ... region, feed_type and freshness fields elided
}The back/lay pair, with rating and qualifying_loss, is what a sports data API cannot give you and a raw odds list still leaves you to build. That pairing is the point of a matched feed.
OddsRelay is an odds feed. It delivers bookmakers' prices, not scores or player stats. To be exact about scope: we supply the prices, already matched against exchange lay odds, and we do not supply live scores, fixtures-as-a-product or match statistics. If you need those, a sports data API is the right tool, and it sits happily alongside our feed.
What we cover on the odds side is deliberately deep: 60+ UK bookmakers with bet365 included, each back price matched against three exchanges (Betfair, Smarkets and Matchbook) for the lay side, with coverage built to extend into the domestic South African and Nigerian books the large aggregators skip. It is one clean API, maintained rather than left to drift, and it powers a leading UK matched-betting platform today.
Two of these terms are close, one is different. A sports data API is a separate product about the game itself. An odds API and an odds feed are both about prices, and the distinction between them is delivery and processing rather than subject: an API is the request-response interface, a feed is the maintained, matched dataset behind it. We draw that line in odds API vs odds feed.
The short version: reach for a sports data API when you need scores and stats, and an odds API when you need prices. If the prices have to be matched against exchange lay odds and kept reliable, that is the feed we built.
If prices are what your product runs on, the fastest way to judge the difference is to see the odds side live. Check what is covered right now on the coverage dashboard, or start a free trial and pull matched rows against your own fixtures.
Written by
Founder, OddsRelay
James is the founder of OddsRelay — the odds-data feed behind matched betting, arbitrage and odds-comparison products: 60+ UK bookmakers with bet365 included, matched against exchange lay prices and delivered as one clean, documented API. He writes here about how that data layer actually behaves — coverage, matching, freshness and the trade-offs — from the side that builds and runs it. The same feed powers a leading UK matched-betting platform today.
Part of the Fundamentals cluster
What is an odds API? A 2026 guide for builders18+ · Data product for licensed operators. Please gamble responsibly.
Fundamentals
An odds API hands your software bookmakers' prices as structured data instead of a human reading betting sites by hand. Here's what one returns, how raw and matched feeds differ, and what to check before you commit.
· 6 min read
Fundamentals
Odds data is a four-level hierarchy: event to market to selection to price, plus bookmaker, region and freshness metadata. Once the shape clicks, integrating a feed is straightforward.
· 5 min read
Fundamentals
Builders hit two terms for the same data and assume they're choosing between products. They aren't. Here's what each word stresses, and the distinction that actually changes your build: raw versus matched.
· 5 min read