Stanislav Sablin · Product Lead / COO

Complex industry.Connected thinking.

Product. Operations. Intelligence. A connected view of the systems behind iGaming.

From platforms and player journeys to payments
and responsible growth. Explore how it all connects.

Explore the risk lab ↗Discover my expertise ↓
The iGaming operating system32 systems. One operation.

Follow the decision.
See what happens next.
iGaming in motion.

Follow the connections through a live operating system. Select a system to take control of the scene.The camera follows the connections. Tap a system to explore.

Synthetic event flow
Preparing the immersive scene…

A payment request reaches external rails, its result returns through the PSP and updates the ledger. Subsequent reconciliation matches records; it does not replace payment confirmation.

Explore all systems 32
  • Owns product decisions, vendor relationships and the operating model. Orchestrates the business; it is not an extra transaction hop between the wallet and a game.

  • The account holder starts onboarding, funding and play journeys. Each action remains subject to access, balance and player-protection controls.

  • Connects campaigns and traffic sources with registrations and first-time depositors. Cohort-level spend and conversion support CAC analysis.

  • Tracks partner referrals and agreed CPA or revenue-share terms. Attribution and contract definitions determine which activity qualifies for partner reporting.

  • Creates the account, collects required details and records acquisition context. Verification and activation follow the market-specific onboarding policy.

  • Age, identity, location and screening checks determine permitted account actions. Their timing and depth depend on the market and applicable policy; further review may be needed.

  • Maintains account state, permissions, product access and links to financial and protection controls. The platform can integrate separate wallet, payments and content services.

  • Records confirmed credits, debits and reserved balances. Duplicate callbacks must not produce duplicate postings; game-round transactions are distinct from external movement of funds.

  • Offers eligible payment methods and displays deposit or withdrawal status. A submitted payment request does not itself mean funds are available in the player wallet.

  • Selects a payment channel using method, currency, market and provider availability. Routing rules and controlled retries help manage acceptance, cost and duplicate-payment risk.

  • Processes the payment through its supported network and returns verified status updates. Authorisation, capture, payout and settlement are distinct stages whose availability varies by method.

  • External banking, card or local-payment infrastructure executes the relevant funds movement. These rails are outside the player ledger and report results through the payment integration.

  • Matches internal transaction records against processor reports and settled amounts, including fees, refunds and exceptions. Reconciliation is separate from immediate game-round settlement.

  • Presents games enabled for the brand, market and player. Catalogue availability and game discovery are separate from transaction processing and round outcomes.

  • Launches the selected game with a scoped session and required account checks. The content connection can use an aggregator or a direct provider integration.

  • Normalises access to multiple game providers through one integration. It reduces integration work but does not replace the provider’s game logic or the operator’s player ledger.

  • Operates or supplies the game service and round outcomes for connected slots, live or other content. A studio can also be the provider; it need not be another runtime hop.

  • Applies validated bet, win or rollback transactions to the wallet using unique round and transaction identifiers. A settled game round is not the same as a PSP payout settlement.

  • Handles bet placement, tickets and settlement of sports markets. It shares account and wallet services but has a separate odds, trading and exposure-management workflow.

  • Supplies market pricing, sports data and trading controls. Sportsbook exposure risk concerns accepted bets and liabilities; it is distinct from responsible-gambling risk.

  • Publishes time-stamped account, payment and gaming events with stable identifiers. This data pipeline supports reporting and decisions; it does not carry or transfer player funds.

  • Stores deduplicated history with consistent player, currency and timestamp definitions. Data quality and complete observation windows determine which analyses and forecasts are meaningful.

  • Turns validated history into business metrics. GGR is based on stakes and winnings; NGR depends on the operator’s deduction policy. Deposits alone are neither revenue nor LTV.

  • Groups players by observed lifecycle and product behaviour. Consent, exclusion status and protection rules are checked before a segment is activated for commercial communication.

  • Orchestrates event-based messaging and measures responses. Opt-outs, consent and responsible-gambling suppressions take precedence over engagement or reactivation campaigns.

  • Applies offer eligibility, wagering rules and bonus-balance transitions. Bonus cost needs explicit accounting and protection restrictions apply before new offers are granted.

  • Builds model-ready activity and transaction series from historical events. Missing data, short histories and currency changes are explicit input-quality issues, not zero activity by default.

  • Estimates future activity and transaction-series ranges from player history. Commercial value needs a separate economics layer and validation. A behaviour forecast is not a clinical or validated RG risk score.

  • Combines forecast uncertainty, business rules and contact eligibility to propose an action. The operator can review outcomes; protected or excluded accounts are suppressed from commercial activation.

  • Monitors changes in play, spend and contact history against an approved protection policy. Signals can initiate immediate safeguards and specialist review; they are not a diagnosis.

  • A specialist assesses context, records interactions and evaluates whether safeguards work. Human oversight complements automatic protection; urgent safeguards need not wait for a manual review.

  • Enforces applicable deposit, time and loss limits, cooling-off and self-exclusion. Status changes reach account access and campaign systems so protection is enforced across the operation.

Conceptual architecture. Synthetic events.Open live inference lab
THE FULL PICTUREOperationsPlatformsRetentionPaymentsComplianceGaming content
Expertise

See the whole system.
Make better decisions.

Technology is only part of the picture.
The value is in how the pieces work together.

Player intelligence

Understand behaviour.
See the business context.

Forecast deposits and activity. Explore the economics of a player cohort and the signals that need attention.

Player intelligence workspace
Open the full Lab ↗

Behaviour forecasting · Live inference

Understand the pattern.
Anticipate what follows.

Forecast deposits and activity, inspect uncertainty, and identify what needs a closer look.

Connecting to inference API…

Player profile

01

Start with a ready-made player, then adjust the inputs to your case.

TimesFM forecasts complete weekly sums directly. This shows payment volume across sparse daily deposits.

Plausible synthetic examples, not real players or market benchmarks.

Adjust this player’s inputs
Data quality & special cases

Ready for your first calculation.

Behaviour forecast

TimesFM 2.5

Generate a history to see observations, forecast and its interval.

Point to the chart, or focus it and use the arrow keys to inspect a period.

ObservedMedian forecastQ10–Q90

Q10–Q90 is a nominal central 80% prediction interval, not accuracy. Forecasts are not a diagnosis.

Observed changes · historical reconstruction

Seven historical predictions, each excluding its target day or week. Weekly checks describe forecast quality and do not trigger RG rules.

Period startsActualQ90Excess floorAbove

Operational outlook

Selected metric

Explore future payment volume and activity. Compare the forecast against simple historical baselines.

For infrequent deposits, daily medians can be close to zero. Their sum is not expected cash flow, and a low median alone does not predict churn.

Does the forecast add value?

Seven reconstructed forecasts of one day or one week on synthetic history. This small diagnostic is not evidence of commercial effectiveness.

Forecast by period · exportable values
Period startsQ10MedianQ90

Review recommendation

Decision Layer

Awaiting evidence

An explainable policy combines eligible evidence. It does not create another risk probability.

Why this recommendation?

FARO · profile context

1.0.0

FARO provides separate behavioural context and does not adjust the TimesFM forecast. The event mapping currently covers 4 of 60 base features. Technical scores are excluded from player-review rules until mapping verification is complete.

—
What influenced the model score

Contributions are in raw margin units, not percentage points. Missing values can also affect the model output.

Inputs, quality & provenance

—

Public demo accepts only a content-equivalent JSON roundtrip of your own server-generated dataset. Operator data requires a private installation and approved policy.

180 FARO inputs · schema from the artifact
FeatureValueStatus
Versions & reproducibility

Inference source & model notices ↗

Commercial evaluation: compare forecast error, interval coverage and operational decisions on a time-based holdout. A deposit forecast is not a revenue forecast. RG evidence is used for player protection.

What is behind the forecast?Full workspace · methodology · model checks · data export

Cohort economics

30-day scenario · EUR

A separate financial scenario for players acquired in one period. Enter cohort totals to calculate revenue and acquisition economics.

GGR—

Gaming revenue

Formula

Stakes − winnings

NGR—

Revenue after agreed deductions

Formula

GGR − bonuses − taxes − content

CAC—

Acquisition cost per player

Formula

All acquisition spend / cohort size

ARPU · NGR—

Per active player · 30 days

Formula

NGR / active cohort players

LTVassumption—

Scenario contribution per acquired player

Formula

(NGR − payment − servicing) / cohort size × months

Illustrative inputs. Edit the assumptions below.

Edit financial inputs

Use the same cohort and 30-day observation window. LTV assumes the current monthly contribution continues for the entered number of months; no churn model or discounting is applied.

How to interpret these metrics

NGR depends on accounting policy. This scenario deducts bonuses, gaming taxes and content fees; payment and servicing costs are deducted next to calculate contribution. ARPU uses active players, while CAC and scenario LTV use all acquired cohort players. Fixed OPEX is not included. These figures are calculated from your inputs, not predicted by TimesFM.

Reference: stakes and winnings in GGY ↗

iGaming unit economics

Explore

Critical project metrics. Formulas, relationships and the decisions behind the numbers.

Illustrative scenario

From gaming turnover to project revenue

GGR = stakes − winnings

In this model, NGR = GGR − bonuses − gaming taxes − content fees. NGR definitions depend on contracts and accounting policy.

Management decision. Review bonus load: €10,000 / €50,000 GGR = 20%. Then reconcile the remaining €5,000 deductions across tax and content.

Stakes€1,000,000
Winnings€950,000
GGR€50,000
Deductions€15,000
NGR€35,000

Metric reference: Andrei Sviridkov · PRO iGaming ↗
XSlot calculations and scenarios are illustrative, not project results or industry benchmarks.

Selected experience

From strategy
to a working operation.

Outcomes, ownership and technologies.

2024 — presentCentral Asia Capital

Chief Operating Officer

  • Led a regulated iGaming launch programme in Kyrgyzstan to soft-launch readiness in 12 months, coordinating product, compliance, finance and content suppliers.
  • Evaluated 9 platform solutions through demos, technical assessment and vendor negotiations.
  • Built the operating foundation: entity registration, bank accounts and documentation for online-casino operator and administrator licence applications.
  • Developed launch scenarios and financial planning around GGR/NGR, ARPU assumptions, OPEX and local taxation.
  • Coordinated regulatory and certification requirements while keeping critical launch dependencies moving under resource constraints.
Platform evaluationGGR / NGRUnit economicsComplianceCertification
Read case study ↗
12months to soft-launch readiness

A cross-functional roadmap connected product, finance and regulatory work.

Select a stage to explore the work
About

Stanislav Sablin

Product Lead · Regulated iGaming Launches · COO

Working in iGaming since 2018. Connecting product, operations and technical infrastructure — from localisation and SEO to casino launches, payment services and regulated-market launch preparation.

Russian — native · English — B2USUE · Quality Management · 2015Jira · Confluence · Miro · Figma · BPMN · n8n
LinkedIn ↗
iGaming intelligence

Explore the industry.
Understand the decisions.

Platforms, content and market requirements.
A connected reference for operational thinking.

iGaming Intelligence: reports and Telegram evidence in ChatGPT

Platforms & providers

A platform supplies the operational foundation. A provider supplies game content. An aggregator connects content integrations. A single company may fill more than one role.

Explore their connections
Jurisdictions & licensing

Compare the licensed activity, eligible markets, operational responsibilities and reporting requirements. Each jurisdiction entry will include primary sources and the date of review.

Jurisdiction profiles are being prepared.
Responsible gaming & data

A score is one input to a review. Its meaning depends on the underlying signals, data quality, model validation and the process that follows. Explore this relationship with synthetic profiles.

Open the risk workspace
Retention playbooks

Start with the lifecycle stage and the player context. Define the trigger, eligibility, communication and measurement before choosing an incentive. Responsible gaming exclusions belong in the workflow.

Explore retention expertise
Working together

Bring the right perspective
to your next move.

Focused support for a launch, a system decision or an operational challenge.

Operations

Launch & operations

Map the dependencies, responsibilities and operational decisions behind a new iGaming product.

Operating model · Launch roadmap
Infrastructure

Platform & vendor selection

Connect business requirements to platform capabilities, integration constraints and vendor trade-offs.

Requirements · Evaluation framework
Lifecycle

Retention & CRM architecture

Design lifecycle stages, segmentation and communication workflows with clear measurement.

Lifecycle map · CRM workflows
Intelligence

Product, data & responsible gaming

Connect player signals, product decisions and a considered review process.

Product scope · Review workflow

Start with the decision you need to make.

Discuss working together
Let’s connect the next dot.

Building or scaling
an iGaming product?

Operations · Platform selection · Retention · Responsible gaming

iGaming Intelligence / MCP

Industry evidence.
In your ChatGPT.

Connect iGaming reports, Telegram posts and case studies to ChatGPT. Enrich your analysis with corpus evidence and compare it with your decision context and current web sources.

Individual access is available on request.

Find relevant material
Research payments, VIP programmes, retention and other topics in the context of your decision.
Check the source
Follow citations to the text, report pages, dates and available original files.
Explore connections
Change your query and explore retrieved material through an interactive graph with topic tags.