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
XSLOT / SYSTEM ATLAS30 NODES / 40 CONNECTIONS
A CONNECTED INDUSTRY, IN MOTION

Every connection
changes the picture.

PLAYER EXPERIENCE / 01CONTENT NETWORK / 02INTELLIGENCE LAYER / 03
SYSTEM VIEW

The whole operation. One connected view.

Select a node to explore its role, or highlight a flow to follow the connections.

SYNTHETIC EVENT STREAM
Wallet → PAM Balance synced
CONCEPTUAL ARCHITECTURE · SYNTHETIC EVENTSSCROLL MAP TO EXPLORE ↔SELECT ANY NODE ↗
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.

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