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How casino blacklists work and who runs them
The term blacklist in the gambling industry covers several different mechanisms at once: state registers of locks, internal lists of operators, payment "black" databases, databases of data exchange between brands, as well as lists that form media and communities. Understanding who and by what rules keeps these lists helps both players and operators to avoid mistakes, sanctions and reputation problems.
1) Blacklist species and who leads them
A. Regulatory registries and interlocks
Who leads: state regulators/supervisory authorities, sometimes - communication providers by order.
What gets: unlicensed sites, clone domains, mirrors, illegal advertising.
What happens: blocking domains/IP, fines to the operator/affiliates, sometimes - a block of payments.
B. Anti-fraud/Responsible Gambling
Who leads: security and compliance services of the casino/bookmaker.
Grounds: multiaccounting, bonus abuse, chargeback, criminal/sanctions risks, violation of the rules, self-exclusion.
Mechanics: device-fingerprint, e-mail/phone, payment details, IP/geo, behavioral signals, ML scoring.
C. Inter-operator/industry exchange bases
Who leads: associations, partner networks, anti-fraud providers, risk consortia.
Purpose: prevent multi-accounting/laundering, observe self-exclusion within the jurisdiction.
Formats: data hashes, "negative lists" of devices, BIN/cards/wallets.
D. Payment blacklists
Who leads: acquiring banks, payment systems, anti-fraud platforms, cryptocastodians.
Grounds: high level of chargebacks, fraud, sanctions/AML risks, violation of the rules of schemes (card schemes), risk rate.
Consequences: freezing of merchant, reserves, termination of the contract, denial of service.
E. Lists of self-exclusion and vulnerable groups
Who leads: regulators, industrial schemes RG (Responsible Gambling), sometimes - independent program operators.
Effect: Banning play/marketing to a specific individual for the duration of the program.
F. Media/community lists
Who leads: specialized publications, complaint aggregators, forums.
Status: unofficial, but affect reputation; contain non-payment cases, controversial T&C, aggressive KYC, etc.
2) How the record is formed: signals and thresholds
Data and signals:- questionnaire and KYC/SoF/SoW, rate and deposit behaviour, speed and withdrawal patterns;
- device and browser (fingerprint), IP/ASN/proxy, geo and hourly offset;
- payment attributes: BIN/card/wallet, chargeback-history;
- intersections with external lists: sanctions/RAP, self-exclusion lists;
- text signals: correspondence with support, triggers from T&C (bonus abuse).
- hard rules (rule-based) - "2 + chargeback → block," "self-exclusion match → prohibition";
- scoring models (ML) - risk score above X → manual check/ban.
- fixed (e.g. 6-36 months) or indefinite until appeal/revision.
3) What makes the record
Identifiers: e-mail, phone, document/date of birth, device-ID, IP/ASN, payment tokens.
Reason and category: fraud, bonus abuse, RG/self-exclusion, regulatory blocking, etc.
Metadata: dates, signal source, verification status (auto/manual), case notes.
Status: active/under review/deleted.
4) What threatens blacklists player
Bans and failures in output (in case of violation of rules or unconfirmed data).
Cross-bans from partner brands (with inter-operator exchange).
Payment restrictions: collapsed limits, manual checks, freezes.
Marketing sanctions: exclusion from bonus programs.
Reputational effects: negative on aggregators/media.
Important: false positive cases occur - due to common IP, family devices, KYC errors, inaccurate matches by name/date of birth.
5) What threatens blacklists to the operator
Regulatory fines and license revocation (for work without blocking "prohibited" categories).
Match lists/payment sanctions (growth of chargebacks, high risk → termination of acquiring).
Reputational losses (media/community lists, complaint flows).
Legal risks (illegal data processing, violation of the rights of the subject).
6) How to check if you are blacklisted (for player)
1. Direct signals: unexpected ban/prohibition of registration with "related" brands, the same rejection texts.
2. Support request: demand a specific reason (violation category), event date, rule item.
3. Rights of the data subject: request a copy of personal data and their sources, decision history (where applicable).
4. Check for self-exclusion: make sure that the self-exclusion program is not active (and its validity period).
5. Payment trail: if payments do not pass en masse, the flag of the PSP/bank is possible.
7) How to appeal and remove the flag (delisting)
Collect a package: identity document (s), proof of address, proof of origin of funds (SoF/SoW), payment statements, screenshots of correspondence.
Ask for revision: Ask in writing for an audit of the decision with a specific T&C item or fact you disagree with.
Demand a human review: If the decision is made by an automation/model, ask for manual review by an analyst.
Timeline and status: Request SLA for response and ticket status; record everything in writing.
Escalation: ADR/Ombudsman (if available), then a complaint to the regulator or Fin. Ombudsman/Bank (for payments).
Deletion/correction of data: in case of error - require correction/deletion, restriction of processing and notification of everyone who received your exchange data.
8) How not to get blacklisted (player hygiene)
One person ↔ one account; no "shared" devices to different accounts.
Fair play on T&C: do not abuse bonuses, do not use prohibited schemes.
Pass KYC/SoF through official forms; documents - clean scans, no edits.
Avoid public/shared IP, VPN/resident proxies.
Do not make chargebacks without trying to settle the dispute officially.
Turn on 2FA and monitor mail/phone security.
9) Honest operator practices (minimum errors and toxic bans)
Transparent rules: clear definitions of bonus abuse, multiaccounting, manual verification criteria.
Multi-level verification: automatic flag → human revision until final ban/confiscation.
Proportionality of sanctions: temporary limits/restrictions instead of a lifetime ban for unintentional error.
Logs and notifications: the player sees the reasons for the refusal, links to the points of the rules, the timing of the appeal.
Data governance: data minimization, retention periods, legitimate processing grounds, secure exchange with partners (hashes instead of "bare" data).
Quarterly revisions of lists: removal of outdated flags, elimination of false matches.
10) FAQ: Short answers to frequent questions
Can I "buy" blacklisting?
You can't. Any "services" from the outside are fraud. Only formal appeal procedures work.
Will changing e-mail/device help?
No, it isn't. Dozens of attributes (payment, behavior, network characteristics) match. Trying to "disguise" will aggravate the case.
Are bans transferred between brands?
Sometimes yes - within the same holding/network or when participating in industry exchange circuits.
How long does the recording take?
From several months to indefinitely - depends on the basis and policy of the list holder.
11) Player checklist in conflict
- Requested in writing the reason and reference to the rule clause.
- Received status confirmation (internal/external list, self-exclusion).
- Sent KYC/SoF/SoW package via official channel.
- Asked for a manual revision of the decision and gave a timeline.
- If necessary - submitted to ADR/regulator/bank.
- Asked to correct/delete incorrect data and report edits to the recipients of the exchange.
12) Operator's checklist for civilized work with lists
- Documented setting/removal criteria, thresholds, shelf life.
- Separation of automatic flags and final sanctions.
- An appeal procedure with clear SLAs.
- Proportionality - Warning → restriction → ban.
- Secure exchange (hashes/tokens), DPIA/processing risk assessment.
- Regular audit of false positive decisions.
Blacklists in gambling are not one list, but a whole ecosystem: regulators, payments, operators, industry exchanges and communities. For the player, the key skill is to quickly find out the type of list, reason, appeal channel and timing. For the operator - transparent rules, human revision and careful handling of data. Universal principle: no shadow sanctions - only formalized grounds, understandable deadlines and the right to review.