Reviews

Platform reviews, organised by the five filters the desk applies first

The reviews are not a star rating. They are a five-filter working checklist, applied in the same order on every platform the desk covers. Filters one and two are disqualifying; filters three to five are graded.

How the desk reviews

Five filters, in the order the desk applies them

The reviews are not a star rating. They are a five-filter working checklist, applied in the same order on every platform the desk covers. Filters one and two are disqualifying: a platform that fails either is not reviewed further. Filters three to five are graded.

  1. State eligibility. Is the format legal in the reader's state? If no, the platform is not reviewed further for that reader. The desk's eligibility map is on the safety pages.
  2. Withdrawal reliability. Twelve weeks of test traffic, including one failed run. If the platform does not resolve a failed run inside a reasonable window, the desk does not proceed to filter three.
  3. Dispute record. A public dispute log, a regulator-published complaint tally, or a platform-published resolution rate. The desk reads the log, not the marketing copy.
  4. Support speed. A real complaint: a stuck withdrawal, a KYC re-submission: opened on a weekday. Time to first response, time to resolution, quality of the response.
  5. Fee transparency. The published fee page, read end-to-end, then checked against a real deposit and withdrawal. Any drift is flagged as a transparency issue.

What the desk does not test

The desk does not test bonus clearance efficiency, loyalty tier acceleration, or VIP host responsiveness. Those are covered in a separate review note and are intentionally not mixed into the five-filter checklist above.

How often the desk updates a review

Each review is updated on the first of the month. The update note records what changed and what did not. If a platform materially changes its fee structure or its withdrawal rail, the desk updates the review between monthly cycles.

Comparison ledger

Platforms the desk has reviewed, side by side

What the grades are

The grades are a single letter, applied to filter 5 (fee transparency). Filters 1 and 2 are binary: pass or fail. Filter 3 is read in the dispute log. Filter 4 is measured in the support speed widget on the right.

What the grades are not

The grades are not a ranking. A platform with an A on fee transparency and a C on support speed is not "worse" than a platform with a B on both: the desk does not aggregate letters into a number.

PlatformFilter 1Filter 2Filter 3Filter 4Filter 5
mrbahisPass12 weeksPublic log3h medianA
Platform BPass8 weeksOn request9h medianB
Platform CSkill-only6 weeksPublic log5h medianB+
What the desk does not do

Three things the desk will not do in a review

No fabricated screenshots

The desk publishes its own test data, including dates, stake and outcome. If the desk cannot reproduce a claim, the claim is not in the review.

No quoted payouts

Specific payout numbers are out of scope. The desk reports relative performance, not absolute numbers.

No paid placement

Editorial coverage and commercial relationships are logged in the changelog. The two are not the same.

Reader follow-up

A reader's reviews follow-up, in plain language

The reader treats the five filters as a starting point, not a final answer. The filters are: state eligibility, withdrawal reliability, dispute record, support speed, and fee transparency. The reader adapts the filters to the reader's own priorities.

The reader does not assume the filter order is permanent. The filter order is the desk's working order. A reader with a different priority can reorder the filters. The reader does not assume the desk's order is the reader's order.

The reader does not assume the grades are a ranking. The grades are a single letter on filter 5. The reader does not aggregate the grades into a number. The reader treats the grades as a snapshot of filter 5, not a ranking of the platform.

The reader does not assume the monthly update is a refresh of all five filters. The monthly update is a refresh of the filters that have changed since the previous cycle. The reader reads the update note to confirm what changed.

The reader treats the review as a habit, not a guarantee. The habit is the practice of reading the review at the start of every month. The guarantee does not exist; the desk is honest about the limit of what a review can show.

The reader does not pay for a review "service". A service that promises a review is a marketing channel, not a regulator. The reader uses the desk's published review, not a third-party service.

The reader reads the desk's update notes. The desk publishes an update note when the review changes. The reader reads the notes at the start of every month. The reader does not assume a previous review is still current.

Desk follow-up

A reader's reviews follow-up, in three steps

The reader treats the five filters as a starting point, not a final answer. The filters are: state eligibility, withdrawal reliability, dispute record, support speed, and fee transparency.

The reader does not assume the grades are a ranking. The grades are a single letter on filter 5. The reader does not aggregate the grades into a number.

The reader treats the review as a habit, not a guarantee. The habit is the practice of reading the review at the start of every month.

Reader FAQ

Reader questions, in plain language

How long does a review take?

The first review of a platform takes the desk twelve weeks of test traffic, plus two weeks of writing and editorial review. Subsequent updates are monthly.

What does the desk do with affiliate commissions?

The desk has a commercial relationship with mrbahis. Commissions are not mixed into the editorial review of any platform. The full changelog is on the about page.

Does the desk review every platform?

The desk reviews the platforms its readers ask about. Coverage expands in line with reader demand and the desk's available editorial time.

Can a platform reject a review?

No. The desk writes the review on the platform it sees, using the platform's published materials and the desk's own test traffic.

Where do the grades come from?

The grades are a single letter on filter 5 (fee transparency). Filters 1 and 2 are binary. Filters 3 and 4 are read in the public record and measured in the support speed widget.

Ready to compare options?

The desk keeps the same five filters on every review.