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Buyer guide

How to choose an odds-data provider

Odds feeds look interchangeable from the outside and behave very differently in production. This is the checklist we would use to evaluate one: the eight criteria that decide whether a feed saves you months or becomes the thing you maintain.

9 min read

The differences that matter only show up after you integrate: a major book is missing, two bookmakers' markets do not line up, or 'real-time' turns out to mean a five-minute delay.

The criteria below are ordered by how often they cause regret. Use them as a scorecard and weight the lines that map to your product: a comparison site weights coverage and schema, an arbitrage tool weights update time, and a matched-betting product weights whether the feed is matched at all.

Start with what you are actually buying

Two very different products are sold under the same label. A raw feed gives you normalised bookmaker prices and leaves the analysis to you. A matched or processed feed does the pairing, rating and gating on our side and hands you finished opportunities.

Buying the wrong one is the costliest mistake here. Need matched-betting or arbitrage output but buy raw, and you have signed up to build a matching engine. Need only prices but buy processed, and you pay for analysis you throw away. Decide which you need first.

Coverage depth, and the books that get dropped

Headline book counts are easy to inflate. What matters is whether the books your users actually compare against are present, and whether the hard ones are included.

Bet365 is the usual tell. It is one of the hardest books to cover, and one matched-betting and comparison users expect to see. A feed that includes Bet365 is signalling that it covers the hard cases, not just the easy ones.

  • Does it include the specific books your product needs, by name?
  • Is Bet365 covered, or quietly excluded?
  • Is coverage maintained as books change, or does it decay?

Update times you can reason about

'Real-time' is a marketing word. What you need is a number you can design around: how often does the data refresh, and does every payload carry a timestamp so you know how current a price is?

Be wary of any provider that cannot tell you its refresh cadence or will not put a processed-at time on the response. For arbitrage and live use, the cadence is the product. For comparison and matched betting, a tight, honest cycle with a timestamp is enough.

Schema consistency

Coverage is worthless if you cannot line two books up. The feed should map every bookmaker and market to one event and selection model, so comparing prices is a lookup rather than a reconciliation project.

Ask to see the response shape. A consistent, documented schema with an OpenAPI spec is a sign the provider has solved normalisation. A per-book grab-bag is a sign you will solve it for them.

Delivery and efficiency

How the bytes reach you matters once you are polling at production volumes. ETag/304 support lets you poll without re-downloading an unchanged board, gzip shrinks the payload, and a single endpoint per market type keeps your integration small.

Together they decide whether a feed is cheap to poll at the cadence you need, or forces you to choose between update time and cost.

Reliability and proof

A feed that is down is worse than no feed, because your product is built on it. Look for published, verifiable signals of health (a live status and update-time surface) rather than a number in a sales deck.

Anonymised proof of real production usage beats a logo wall. A provider that already powers a live product at the volume you need has answered the reliability question in the only way that counts.

Support and the people behind it

When a bookmaker changes a market mid-fixture and a mapping breaks, the question is who fixes it and how fast: the people who run the feed, or a first-line queue. That failure mode is specific to odds data, and it is where support earns its keep.

So ask for the realistic turnaround on a coverage or mapping break, not a generic SLA. Boutique providers often beat large vendors here: direct support from the people who run the feed, not a ticket queue.

Terms, scope and exit

Finally, the commercial shape. Are keys scoped and revocable? Can you start small and expand regions or feed types without re-contracting? Is there a trial so you can verify the integration before committing?

A provider confident in its product lets you try it on the real envelope. Be cautious of anyone who will only show you a demo dataset.

At a glance

CriterionWhat to look for
Product typeWhether it is a raw price feed or a matched/processed feedBuying the wrong one means building the analysis yourself or paying for analysis you discard.
CoverageThe specific books you need, by name, the hard ones like Bet365 among themA missing major book is visible to your users immediately.
Update timeA stated refresh cadence and a timestamp on every payloadYou cannot design around 'real-time'. You can design around a number.
SchemaOne consistent event/selection model and an OpenAPI specWithout it, comparison becomes a per-book reconciliation project.
DeliveryETag/304, gzip, one endpoint per market typeDetermines whether polling at your cadence is cheap or painful.
ReliabilityA live status/update-time surface and proof of production usageYour product is only as available as the feed under it.
SupportA realistic turnaround on a coverage/mapping break, from the people who run the feedBreakages happen at the worst time. A generic SLA and a ticket queue are not an answer.
TermsScoped, revocable keys, room to expand, a real trialYou want to verify on real data and grow without re-contracting.

Where OddsRelay fits

OddsRelay was built to score on every line of this checklist, and each one is checkable rather than claimed: the live coverage surface, the docs and a trial on the real envelope are all public.

Put the criteria to the test.

Start a free trial of the full UK feed and judge it against everything in this guide.