Methodology
How CaseRadar Rates CS2 Gambling Sites
Our methodology is built for real trust decisions, not hype. We combine transparency review,
community risk signals, and consistency over time to score each listing.
100-point model Trustpilot-aware scoring Continuous re-verification
Score Weights (Out of 100)
Licensing and Legality
Jurisdiction quality, legal clarity, and enforcement history.
25Payout Speed
Withdrawal timing in normal and peak traffic windows.
20Community Trust
Cross-source sentiment and unresolved complaint intensity.
25Transparency
Fairness docs, house edge visibility, and terms clarity.
15Longevity
Operational track record, incident handling, and consistency.
15
Instant Trust Checklist
- Check the last verified date before using any listing.
- Read recent public reviews across multiple sources, not just one.
- Avoid platforms with hidden terms and unclear limits.
- Watch for repeated complaint patterns that remain unresolved.
- Use only legal platforms for your region and age.
Data Collection
We collect platform terms, public ratings, trust signals, and incident evidence.
Signal Mapping
We map recurring complaint themes, support patterns, and consistency signals.
Risk Scoring
We score red flags, policy changes, and reliability indicators across sources.
Publishing
We publish the score with a visible verification date and notes.
Filterable Trust Signals (Live in Directory)
The directory currently supports filtering by category, minimum score, Trustpilot score threshold,
KYC policy profile, faster-withdrawal preference, lower-edge preference, region, and deposit
method.
Signals That Can Trigger a Downgrade
- Withdrawal delays with no support timeline
- Terms changing after sign-up or active session
- Missing fairness proof or hidden edge details
- Mass user lockouts without transparent explanation
- Repeated unresolved complaints across channels
Editorial Integrity Policy
Affiliate relationships do not override risk findings. Listings can be downgraded or flagged
when unresolved trust issues persist, even if monetized links exist.
When evidence changes, we update scores and notes publicly. Our goal is consistency, not
promotional bias.