About this site

One Person, Every Casino's Terms in One Place

I am Valerii Zalivkin, and I built GambleGrade alone. The clauses that cost players money are buried in the middle of documents few read, so I collect each operator's terms and conditions, work through them clause by clause, quote the exact wording behind every flag, and publish the formula that produces each score. Everything is verifiable: the operator's own words and the mathematics behind them.

Last updated:29 Oct 2026

Who Runs This

One developer · Everything else is automated

Valerii Zalivkin

Founder & Lead Developer

I built GambleGrade to put every online casino's rules in one place, across all 37 markets it covers. Casino terms are long, change without notice, and bury the costly clauses in the middle - so they get collected here, read clause by clause, quoted and dated, and you see them before the money rather than after.

60
Casinos reviewed
333
Bonuses analysed
37
Markets covered
Journey so far
  1. 2024Started buildingBegan work on GambleGrade with the mission of gathering all casino rules in one location and working through them clause by clause.
  2. 2024Formula publishedFinalized and released the six-pillar scoring formula in advance of computing the first score, ensuring the method was transparent from day one.
  3. 2025Pipelines builtDeveloped the scraping, terms analysis, scoring algorithms, and versioning infrastructure that operate the platform independently.
  4. 202637 markets liveWent live in August 2026 across all 37 markets concurrently, with each market's rules examined according to its own setting.
Tech & Tools
FastAPIPythonSQLAlchemyPydanticPostgreSQLRedisCeleryNext.js 15React 19Tailwind CSSMantineScrapingBeePlaywrightLighthouseNginxPM2
The Reasoning

Rules First, Rankings After

Most casino review sites are sales channels wearing a journalist costume.
Here it works the other way - one person, one automated pipeline, one formula that runs the same way every time. Every rating comes from a public model. Every source is named. No casino can pay to rank higher.
One developer. Every clause read. No paid placement, ever.
Typical review sites
  • Rankings driven by which operator pays the most
  • Scores backed by unnamed sources or unverifiable claims
  • One generic template repackaged for each region
  • Ratings shift when partnership money does
  • Affiliate deals buried deep in fine print
  • No methodology disclosed, no formula weights published
  • Outdated content recycled without re-checking facts
VS
GambleGrade
  • Scores calculated by a published formula anyone can verify
  • Every input is concrete and disclosed in full
  • 37 markets, each with its own regulatory and payment ruleset
  • Ratings recalculate when the underlying data shifts
  • Affiliate partnerships listed openly - they do not affect position
  • Six pillars of assessment, with documented weights
  • Terms-of-service pages re-analysed and all ratings re-scored monthly
£0 paid rankings - ever

Independence

Affiliate income covers hosting and the cost of running scrapers. The income has no access to the ranking code. A separation built into architecture, not just into promises.

Open methodology

Transparency

Methodology is public. Data sources are named. Formula weights are written down. A score does not go live unless I can walk backwards through every step that produced it.

Formula decides

Data-First

I set the weights once. The scoring engine runs from there without me in the loop. No manual override exists. My opinion of a casino has zero influence on where it ranks.

10+
A decade of UK casino terms collected, parsed, and stored
1
Single analyst running the platform - automation handles the scale
95
Signals per casino fed into the rating formula
60
Casinos scored by formula - ranking never changes for payment
333
Bonus terms flagged automatically for unfair clauses
0
Player feedback tagged by sentiment and included in the score
How It Works

From Discovery to Live Rating: The Complete Process

I build and maintain the formula. Automated systems handle discovery, data collection, scoring calculations, and publication. The entire catalogue is re-scored monthly against the latest terms-of-service data.

01

Identifying Casinos and Verifying UKGC Licenses

Daily crawlers search for new operators across 37 markets. When a brand appears, I verify its UK Gambling Commission license against official records, examine its corporate background, and check for any sanctions or revoked credentials. Only licensed operators with valid credentials join the catalogue.

02

Collecting Data Systematically

Automated systems retrieve data from regulator databases, public records, payment processors, and game studios. Thousands of data points are gathered by machine - no manual entry, no hand-typed bonus terms, no outdated snapshots.

03

Computing the Ratings

Raw data is standardised and processed through the formula, which scores each casino across six pillars: trust and licensing, bonus fairness, payout speed, payment options, UX and mobile experience, and player reviews. The formula determines the ranking. I never manually adjust scores, and no business arrangement affects the order.

04

Manual Review and Explanation

I examine unusual results, verify edge cases by hand, and document the reasoning behind what the data shows. My role is to clarify the numbers - not to alter them.

05

Publishing and Ongoing Monitoring

When the monthly re-scoring cycle completes, automated systems publish the updated ratings. Monitoring tools watch for license changes or unusual shifts in payout performance and flag anything requiring further investigation.

The backbone of every rating

Six commitments built into the score

These principles are embedded in the formula. Nothing overrides them.

Position is determined by data, never by money

Casinos cannot purchase placement. The platform runs on affiliate revenue, but the ranking itself comes purely from the formula - financial arrangements have zero influence on position.

The algorithm decides, I do not

I set the weights and select the data sources once. After that point, the scoring engine operates without intervention - no manual adjustments, no exceptions, no override buttons.

Built for the person funding the deposit

Every weight, every predatory term flagged, every feature on this site exists because it helps someone choose a casino more carefully - not because a casino operator requested it.

All methodology is visible and testable

The scoring logic is documented publicly. Data sources are named. Each calculation step is published. Anyone with the same inputs can reproduce any casino's rating.

Every rating recalculates monthly

Outdated scores mislead players. A scraper re-evaluates each casino's rating once per month against current UKGC licensing, recent payout test data, and the latest terms snapshot.

Errors and fixes live in the open

When a rating is incorrect or the scraper encounters a failure, I log both the error and the correction in a public changelog. Reader reports are tracked the same way.

Editorial Policy

Why Affiliate Revenue Never Changes a Casino's Score

How the technical architecture and operational process ensure casino ratings remain independent of the affiliate revenue that sustains GambleGrade.

Technical Isolation Protects the Score

I run this platform independently, with no sales team influencing scores. The rating system accesses only the scoring database - affiliate records are held separately and the formula cannot reach them.

One Algorithm, Applied Uniformly

Every casino is scored against the same six pillars with identical weighting: trust and UKGC licensing, bonus fairness, payout speed, payment methods, mobile experience, and user feedback. The inputs and thresholds remain constant across all brands, irrespective of affiliate arrangements.

Commission Income Is Transparent

When you follow certain links, I receive a referral fee - this is always disclosed at the point of the link. Whether a casino pays affiliate commission affects only my earnings from it; it does not influence its rating or position in the catalogue.

Data Corrections Only, Not Score Trading

Casinos may submit factual corrections - a new licensing detail, an additional payment method, updated branding. I verify each submission manually before it enters the system. Rating changes and ranking adjustments cannot be requested, negotiated, or purchased.

How ratings work

Six pillars. One public formula. Scores that don't shift for sponsorship.

I score every casino across six fixed dimensions using verifiable data. The complete methodology - calculation steps, flag definitions, data sources - is published so you can reproduce any score yourself.

TRS

Trust & Licensing

20%

UK Gambling Commission jurisdiction, operator history, automated analysis of terms-of-service pages for unfair clauses, live support responsiveness.

PS

Withdrawal Speed

15%

Real withdrawal times sourced from transaction records - same-day payouts in GBP rank higher than multi-day delays.

FB

Bonus Fairness

20%

True bonus value after accounting for wagering requirements, maximum cashout limits, and restrictive terms.

CR

Player Reviews

15%

Player feedback sourced from Trustpilot, AskGamblers, forums and other spaces where users share genuine experiences.

PC

Payment Options

15%

Range of deposit and withdrawal methods - card networks, e-wallets, bank transfers - plus minimum stakes and maximum exit limits.

UX

User Experience & Mobile

15%

Page load speed, navigation design, mobile performance, and site stability under peak usage.