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OddsRelay

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 quietly becomes the thing you maintain.

9 min read

Every odds-data provider will tell you it has great coverage and fast updates. The differences that matter only show up once you have integrated — when a major book is missing, when two bookmakers' markets do not line up, or when 'real-time' turns out to mean a five-minute delay.

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

Start with what you are actually buying

There are two very different products 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 most expensive mistake here. If you need matched-betting or arbitrage output and you buy a raw feed, you have just signed up to build a matching engine. If you only need prices and you buy a processed feed, you are paying for analysis you will throw away. Decide which you need before you compare anything else.

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 included — or quietly excluded?
  • Is coverage maintained as books change, or does it decay?

Freshness 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; a single endpoint per market type keeps your integration small.

These are not luxuries — they are the difference between a feed that is cheap to poll at the cadence you need and one that forces you to choose between freshness 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 freshness surface — rather than a number in a sales deck.

Anonymised proof of real production usage is worth more than 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 — and whether it is the people who run the feed, or a first-line queue who escalate. That failure mode is specific to odds data, and it is where support actually 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, responsive support from the people who run the feed, instead of 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, with bet365 includedA missing major book is visible to your users immediately.
FreshnessA 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/freshness 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.

Key takeaways

  • Decide raw vs matched before comparing anything else — it is the costliest mistake.
  • Judge coverage by the hard books (is bet365 included?), not the headline count.
  • Insist on a refresh cadence and a timestamp; treat 'real-time' with no number as a red flag.
  • A consistent schema and an OpenAPI spec mean the provider solved normalisation, not you.
  • Trust verifiable status and production proof over logo walls.

Where OddsRelay fits

OddsRelay was built to score well on every line of this checklist: a matched feed (not just raw prices) with bet365 included, deep UK coverage normalised to one schema, an honest refresh cadence with timestamps, ETag/304 and gzip delivery, a live coverage and status surface, direct support, and a trial on the real envelope. It already powers a leading UK matched-betting platform — so the reliability question is answered by production, not a deck.

Questions

Raw feed or matched feed — how do I know which I need?

If your product shows users finished matched-betting or arbitrage opportunities, you need a matched feed or you will build the matching engine yourself. If you only display or analyse prices, a raw feed is enough. Decide this first; it changes everything else.

Why is bet365 such a common test?

bet365 is one of the hardest books to cover, so it is often missing from a feed. Because matched-betting and comparison users expect it, its presence is a quick tell for whether a feed covers the hard cases or only the easy ones.

What counts as honest proof of reliability?

A live, public status and freshness surface you can check yourself, plus evidence of real production usage. A logo wall or a single uptime number in a sales deck is not verifiable.

Put the criteria to the test.

Start a free trial of the full UK feed, bet365 included, and judge it against everything in this guide.