Our algorithm applies a small positive weight to operators with a long, continuous, verifiable licensing history. The reason is not nostalgia for “old brands” — it is that regulatory enforcement data consistently shows younger, thinly capitalized entities over-represented in compliance failures and license revocations. But the weight is modest and conditional: fresh violations by a decade-old operator erase the longevity credit immediately, because our trust score is rebuilt from current data every scrape cycle, not from brand reputation.
Key takeaways
- GamblScout’s trust score applies a modest longevity weighting tied to verified, continuous licensing history — not to marketing claims about “since” dates.
- UK Gambling Commission data show the licensed operator population shrinking across years: 2,262 operators in March 2024 (down 3.6% year-on-year and 12.3% below pre-pandemic 2020), and 2,154 by March 2026 (down 1.1%).
- Repeat enforcement against established operators such as Done Brothers and ProgressPlay shows that age alone never guarantees compliance.
- FATF’s 2026 gaming-sector risk report flags ownership structuring and multi-domain tactics as red flags more typical of newly formed or unlicensed entities.
- Longevity is one input among several in our composite score, sitting alongside payout speed, UX scoring, game-library analysis and bonus-term penalties.
Table of contents
What the longevity bonus measures
The “longevity bonus” is internal shorthand for a specific input in our composite trust score: the length and continuity of an operator’s verified license history, cross-referenced against corporate registry data and regulator enforcement records. It is not a count of years since a domain was registered, nor a credit for how long a brand has run television ads. Those signals are cheap to fake — a shell company can buy an aged domain, and a casino group can relaunch a failed brand under a fresh skin while keeping the same back-end operator.
What our algorithm actually scores is whether the same licensed legal entity has held the same authorization, under the same regulator, without suspension or forced transfer, for a sustained period. That is a much harder thing to fabricate than a “Est. 2014” badge in a website footer, and it correlates with a measurable pattern in regulatory data: newer entrants are disproportionately represented in enforcement actions relative to their short time in the market.
The regulatory evidence behind the pattern
The clearest public evidence comes from market-size data rather than from any single “failure rate” statistic, because regulators do not publish a clean age-at-closure figure for individual casino brands. What the UK Gambling Commission does publish is the shrinking size of its licensed market over time.
The number of licensed gambling operators fell to 2,262 as of 31 March 2024, a 3.6 percent decrease on the prior year and a 12.3 percent decrease from the last pre-lockdown count in March 2020.
Two years later,
the figure stood at 2,154 operators as of 31 March 2026, a further 1.1 percent decrease on the year before.
That is not a story of mass closures making headlines; it is a slow, steady contraction consistent with consolidation, tightening compliance thresholds, and the quiet exit of smaller, newer licensees who cannot sustain the cost of ongoing AML and safer-gambling obligations. The macro economics of the sector point the same way: rising compliance and tax costs squeeze thin margins hardest at firms that have not yet built reserves or scale.
Malta tells a similar story from the licensing-intake side.
Between January and December 2025, the Malta Gaming Authority received 38 applications for new gaming licenses and issued 19.
Applications of a more complex nature were escalated to the Authority’s Fit and Proper Committee, which assessed 20 entities and 38 individuals and found in seven cases that the fit-and-proper criteria were not satisfied.
Of the applications that reached the Supervisory Council stage, 17 new licenses were approved while two were rejected after the Authority found submitted information to be false, misleading, inaccurate, or materially incomplete.
Roughly half of all applicants that start the process never make it to a live license — a filtering effect that means every operator with an established, unbroken MGA authorization has already survived a screening gauntlet that a brand-new applicant has not yet faced.
The Financial Action Task Force’s first dedicated gaming-sector risk report, published in September 2026, reinforces why regulators treat corporate newness as a risk factor in itself.
It identifies land-based and online casinos, alongside sports betting, as carrying the highest money-laundering exposure of any gambling vertical.
FATF specifically warns that beneficial ownership in platforms can be structured to bypass the thresholds that trigger regulatory checks, particularly where AML and anti-corruption frameworks are weak.
It also highlights the use of multiple website variations to disguise illegal operators as a recognized red-flag indicator.
Both tactics are structurally easier to deploy through a freshly incorporated entity with no enforcement history than through a company regulators have already been watching for years.
A word on the viral failure statistics
Industry blogs frequently cite dramatic claims that 70%, 80%, or even 90% of new online casinos fail within their first one to two years. None of these figures trace back to a regulator, a court filing, or a peer-reviewed study, and the numbers contradict each other too widely to treat as fact. For comparison, when researchers actually tracked business-registry data across an entire sector, they found the popular “90% fail in year one” myth to be false even for a notoriously volatile category:
the first-year failure rate of single-establishment restaurants in the Western US was closer to 17 percent, not the commonly cited 90 percent
, with
a median lifetime of 4.5 years
. We flag the same skepticism toward unsourced iGaming “failure rate” statistics that we apply to unverified marketing claims elsewhere on the site, and we do not use them as inputs.
Why operating history is not a perfect proxy
The correlation between youth and risk is real but weak, and our algorithm treats it that way. Established operators are regularly caught in the same enforcement net as newcomers, sometimes repeatedly.
Between May and December 2025 alone, the UK Gambling Commission took regulatory action against 13 gambling operators
for a range of compliance failures. Two cases illustrate why longevity cannot be treated as a safety guarantee.
Done Brothers (Cash Betting) Limited faced a second enforcement action from the Commission after having already paid a £3.25 million regulatory settlement in 2023 for anti-money laundering and social responsibility failings.
Separately,
ProgressPlay was issued a £1 million fine for breaches of anti-money laundering requirements and social responsibility failings found during a licence review
, and
the fine followed a previous enforcement action issued in 2022 for similar failings.
Both are established, multi-year license holders. Both demonstrate that a long track record can still include recurring, uncorrected compliance gaps.
More recent enforcement confirms the pattern continues.
QuinnBet, an online gambling business, agreed to pay £609,104 after a Commission investigation revealed anti-money laundering and social responsibility failures.
Our fair play and fraud-detection signals are built to catch exactly this kind of recency-weighted risk: a fresh violation this quarter outweighs five clean years before it, because the score is recalculated from current data every scrape cycle rather than carried forward as accumulated reputation.
| Operator | Earlier action | Later action |
|---|---|---|
| Done Brothers (Cash Betting) Ltd | £3.25m regulatory settlement for AML/social responsibility failings (2023) | Second enforcement action announced in the 2025 enforcement round, described as predominantly technical breaches |
| ProgressPlay | Enforcement action for similar failings (2022) | £1m fine for AML and social responsibility failings, plus a mandatory third-party audit condition (2025) |
License reuse and brand laundering
A longevity signal is only useful if “age” is verified rather than assumed, which is why the raw license number matters more than the brand’s marketing copy. Malta’s enforcement register shows how quickly an apparently long-standing authorization can be pulled.
The Malta Gaming Authority officially revoked Goldwin Limited’s gaming license effective 13 March 2025
, and
the decision followed a prior suspension of the same company’s license on 25 September 2024 after multiple regulatory breaches.
Goldwin’s license number traced back to 2018 — on paper, a seven-year-old authorization, which is exactly the kind of figure a naive scraper could mistake for a longevity positive right up until the suspension hit the public register.
This is why our data-scraping engine pulls directly from regulator enforcement registers rather than relying on a casino’s self-reported founding date, and why the longevity score decays instantly on any suspension or cancellation rather than averaging it against prior clean years. A license number issued in 2018 is worthless as a trust signal the moment the register shows it suspended; our system treats the current status, not the historical one, as the operative fact. For readers who want the underlying jurisdictional detail, our licensing and jurisdictions hub breaks down how different regulators structure these registers.
How longevity fits into our trust score
Longevity is deliberately one of the smaller weights in our model, not the dominant one. We size it that way because it is a slow-moving, backward-looking signal, while other components of the score are built to react to present-day conditions. Payout speed alone accounts for 30% of the total trust score because it reflects live operational behavior that can change week to week, whereas a license-age bonus reflects structural resilience that changes slowly. The two are complementary: an operator can have an excellent longevity score and still score poorly overall if current payout data, bonus terms, or support responsiveness deteriorate.
The other major components work the same way. Our UX/UI score uses computer vision to grade website navigation independent of how old the site is — a five-year-old casino with a confusing cashier flow still loses points. Our game-variety algorithm assesses library quality versus quantity on the current catalog, not on how long the operator has held a game-studio relationship. And our predatory-bonus penalty applies the same math to a brand-new site and a twenty-year-old one, because exploitative wagering terms are exploitative regardless of incorporation date.
In practice, the longevity bonus functions as a tiebreaker and a risk dampener rather than a headline score driver. Two operators with similar payout speed, UX, and bonus-term scores will be separated slightly by verified license continuity, because our underlying philosophy — described in more depth in our core principles on the problem with human reviews — is that structural, verifiable data signals should carry more weight than any single data point a marketing team controls. Operating history is one of the few inputs a casino cannot simply rewrite on its website.
It is also worth noting that “old” in this industry is a relative term.
InterCasino is widely credited as the first online casino, launched in 1996
, and brands with that kind of pedigree are the exception rather than the rule in a sector where most licensed entities are measured in single-digit years. A three- or four-year continuous license history already places an operator in a meaningfully different risk bracket than one still in its first twelve months, which is the window where the regulatory data above shows compliance gaps concentrate.
Frequently asked questions
Does a casino’s age alone guarantee it is safe to play at?
No. Established operators are regularly fined or sanctioned, including repeat offenders. Age is a modest statistical signal correlated with lower compliance risk across a market, not a guarantee for any single operator. Always check an operator’s current status directly on the regulator’s register rather than relying on its claimed founding date.
How does GamblScout define an operator’s “age” when brands change hands?
We track the license number and licensed legal entity, not the consumer-facing brand name. If ownership transfers, the license is reissued, or the entity is suspended and relaunched under new terms, the continuity clock resets. A brand that looks unchanged to players can still show a broken longevity record in regulator filings.
Can a brand-new online casino outscore a long-established one?
Yes. Longevity is a minor weighting next to factors like payout speed, which alone makes up 30% of our total score, plus UX, game variety, and bonus-term penalties. A new operator with fast verified payouts and fair bonus terms can easily outscore an older one with slow withdrawals or predatory wagering requirements.
Why do some long-established operators still get fined by regulators?
Compliance is an ongoing operational discipline, not a one-time qualification. UK and Maltese enforcement records show multi-year license holders repeatedly cited for anti-money laundering and social responsibility failings, sometimes years apart from a prior settlement, which is why our score recalculates from current data rather than accumulating historical goodwill.
Does the longevity bonus apply equally in every licensing jurisdiction?
No. We weight verified continuity against the enforcement rigor of the issuing regulator. A long, unbroken license history under a regulator with a thin public enforcement record carries less weight than the same tenure under a regulator that publishes detailed, searchable enforcement registers, since the latter gives us more data to confirm the record is genuinely clean.
Our methodology
For this factor, our algorithm ingests license issuance and status data directly from regulator registers (UKGC, MGA and equivalent bodies), corporate registry filings to detect entity or ownership changes, and the full historical enforcement record tied to each license number rather than only the most recent action. These signals feed a small, decaying weight inside the broader trust score described across our scoring system and algorithmic weights hub.
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