How we score (v1.0)
Every casino is scored by a deterministic rubric, then signed off by a named human reviewer with a date. We publish the source URL and fetch date for each measurement. We never use AI to write reviews — only to summarise public data. Our methodology is versioned in git; weight changes are dated commits.
Reviewer: Maksim Askirka — independent crypto-casino analyst.
| Dimension | Weight |
|---|---|
| Payout & withdrawal | 25% |
| Bonus honesty | 20% |
| KYC friction | 20% |
| Provably-fair & integrity | 15% |
| License & track record | 12% |
| Trust & transparency | 8% |
A high-scoring casino we are not affiliated with is shown without a CTA and labelled accordingly. Affiliation never changes a score.
Frequently asked questions
- How is the transparency score calculated?
- Each casino is scored on six weighted dimensions — payout & withdrawal, bonus honesty, KYC friction, provably-fair integrity, licence & track record, and trust — combined into a 0–100 score and then adjusted for the local market. The full rubric and weights are public and versioned in git.
- Does an affiliate relationship change a casino’s score?
- No. Affiliation never affects a score. Scores are computed by a fixed, public formula from measured data, and casinos we earn nothing from are included on merit and clearly labelled.
- How often are scores updated?
- Scores are recomputed whenever a casino’s underlying data changes, and every change is a dated commit — so the history of each score is fully auditable.
- Why might a well-known casino rank below a smaller one?
- Because the score rewards transparency, not brand size or marketing spend. A famous casino with a heavily-wagered bonus or a weak licence can rank below a lesser-known one that treats players more fairly.