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Our methodology

How we rate casinos

Every score on Casino.net is four separate inputs at once:

arithmetic from our own operator records, a named reviewer’s verdict, votes from readers, and ratings collected from public platforms. This page says exactly how much each one counts, and what happens when one of them is missing.

4

inputs

26

algo criteria

236

casinos rated

15

markets

30% 30% 10% 30%

10/10

the score

The Casino.net Algo 30% Expert assessment 30% Reader votes 30% Third party ratings 10%

Every casino review on Casino.net opens with a single score out of 10. It is not one measurement and it is not one person’s opinion. It is a weighted blend of four inputs, and the point of this page is that you can see which is which.

One input is deliberately mechanical. The Casino.net Algo reads 26 criteria out of our own operator database, applies fixed weights, and ranks each casino against the others we rate in the same market. Anyone can check it against the table printed on the review.

The other three are deliberately human. A named reviewer plays, deposits, contacts support and cashes out, and says what the data cannot. Readers vote. Public platforms are counted too, because our verdict is not the only one worth reading.

Four inputs, one score

These are the live weights. Where an input is missing we drop it and let the others share the full weight, rather than counting an absent rating as a zero, so the split shifts in one predictable way.

The Casino.net Algo30% of the score
Expert assessment30% of the score
Reader votes30% of the score
Third party ratings10% of the score
The Casino.net Algo40% of the score
Expert assessment40% of the score
Third party ratings20% of the score
30% 30% 10% 30%
The Casino.net Algo Expert assessment Reader votes Third party ratings
40% 40% 20%
The Casino.net Algo Expert assessment Third party ratings

Written as arithmetic: with votes, (algo × 3 + expert × 3 + votes × 3 + platforms × 1) ÷ 10; without votes, (algo × 4 + expert × 4 + platforms × 2) ÷ 10. Every input is converted to tenths before it is added, so the published score is exact rather than a rounded float.

Proposed, not live. A reweighting to 50 / 20 / 20 / 10 in favour of the Algo has been discussed, so that half of every score would be arithmetic a reader can reproduce. It moves 189 published scores and reorders every hub table, so it ships as its own change with its own changelog entry. Until then the weights above are the ones running.

The Casino.net Algo

The Algo is the part of the score with no opinion in it. Twenty six criteria across seven categories, each with a fixed ceiling, each read from a record in our operator database rather than from a view about the brand.

Nothing is stored

The table is recomputed every time a review loads, so a corrected record shows up in the score immediately.

Local pools only

A casino is ranked against the casinos we rate in the same market, so its score is a position among local competitors rather than a global verdict.

Independent ceilings

Safety and responsible gambling is worth a quarter of the Algo on its own. No single strength can carry a casino, and a failure there cannot be bought back with a bonus.

Inside the Casino.net Algo

All 26 criteria with how each one is measured, the points split category by category, where scores actually land across the index, what changes from market to market, and every version of the algo on the record.

The expert assessment

A named reviewer signs off every review. The assessment is what the arithmetic cannot reach: whether registration works, whether support answers, whether a withdrawal arrives when the terms say it will, and whether the site is pleasant to use.

What is examined

Registration and verification, the deposit and withdrawal path, the terms behind the bonus, support responsiveness, game discovery, and site performance on mobile and desktop.

Who signs it

A named author and, where the subject calls for it, a named specialist. Both appear on the review with their credentials and their other work.

Kept separate on purpose

The reviewer cannot change a criterion, a weight or an Algo score. Judgement enters the total only through this one input, at the weight shown above.

Reader votes

Any visitor can rate a casino on its review. The number is exactly what readers left, with no editorial adjustment applied to it.

One rating per reader

A repeat rating from the same reader replaces the earlier one instead of stacking, so a single enthusiast cannot lift a casino.

Absent, not zero

A review nobody has rated yet carries no vote weight at all. An empty vote pool is never counted as a bad score.

What it is worth

Votes are unverified by design, which is why they sit alongside the other inputs rather than above them.

Third party ratings

The smallest share of the score comes from outside Casino.net entirely: public ratings of the operator, and two independent measures of the site itself.

Source What it rates Scale
App Store The casino’s iOS app, where one exists out of 5
Google Play The Android app, read from the same storefront listing out of 5
Trustpilot The public score for the operator out of 5
Reviews.io A second independent review platform out of 100
Lighthouse Google’s own performance audit of the casino site out of 100
Ahrefs How established the domain is, as a proxy for longevity out of 100

Where a market has no local platform data for an operator we fall back to the nearest market that does, following a fixed documented order, so a rating shown on one country’s review can originate from another country’s storefront. We would rather show a real rating from elsewhere than an empty column, and this is the sentence that says so. These figures are read from our own database rather than fetched as you load the page, so they reflect the last time we collected them.

What we never do

Four commitments that hold across every market and every review, and each one is checkable against the page in front of you.

No paid placement

A commercial relationship cannot buy a score, a criterion, a weight, a rank or a position in a table. Our arrangements are set out on the commercial disclosure page.

Illustration of casino score cards built from recorded data

No score without data

Where we hold no record for a criterion it scores nothing and the review says so. An empty field is never treated as a pass.

Illustration of a shield guarding review data

No advice to gamble

A high score means a casino performs well against the things we measure. It is never a recommendation that gambling is a good idea.

No silent edits

Changes to the criteria or the weighting are published in the algo changelog, including the ones that pushed published scores down.

Who writes the reviews

Every review carries a named author, and specialist subjects carry a named expert alongside them. Their credentials, their market and their other reviews are listed on their own profile.

Avatar of a Casino.net review author

The author

Writes the review for one market in that market’s language, and signs the expert assessment that feeds the score.

Momchil ChonovNikola AntonovMomchil PetrovPlamen Spahiev

The specialists

Slots, live and table games, legal, and the technical side each have a named expert whose opinion appears on the review under their own byline.

Katya Vasileva

The method owner

Katya Vasileva owns the scoring method itself and signs off every version of the Algo in its changelog.

A figure about your casino wrong? Write to a correction address with the record and the market. A corrected record recomputes the score on the next page load, and a correction that moves a published score appears in the algo changelog.

When a score changes, and why

A score is not a verdict frozen on the day of publication. Four separate things move it, and each one leaves a trace.

01

A record changes

A licence, a bonus, a withdrawal time or a game count is corrected in our operator database. The Algo is recomputed the next time the review loads, so the score follows immediately.

02

A criterion changes

We add, remove or rewire a criterion. Every affected score moves at once, and the change is written into the algo changelog with the date and the direction.

03

A reviewer revisits

At each scheduled review update the expert assessment is redone against the live site, which can move the score in either direction.

04

Third party platforms

Votes accumulate continuously. A brand new review carries no vote weight at all until the first ratings arrive.

Frequently asked questions

How does Casino.net review online casinos?
Every casino goes through the same four inputs: the Casino.net Algo scoring 26 criteria out of our own operator database, a named reviewer’s hands-on assessment, votes left by readers, and ratings collected from public platforms. The four are weighted and blended into one score out of 10, and the score recomputes whenever one of them moves.
Are your reviews independent?
Yes. A commercial relationship cannot buy a score, a criterion, a weight, a rank or a position in a table, and the reviewer who writes the assessment cannot change an Algo score. We earn commission on some links, which is set out on the commercial disclosure page, and it does not enter the scoring in any form.
Which countries does Casino.net cover?
We publish in 15 markets, each with its own reviews written in that market’s language by an author who covers it. A casino is only ever ranked against the casinos we rate in the same market, so a score is a position among local competitors rather than a global verdict.
Does Casino.net promote responsible gambling?
Safety and responsible gambling is worth a quarter of the Algo on its own, and a failure there cannot be bought back with a bonus. A high score means a casino performs well against the things we measure. It is never a recommendation that gambling is a good idea.