Category

Market Data

iGaming market signals, product categories and research notes.

No posts in this category yet

Start with nearby live pages

This section is reserved for a specific editorial topic. Until new articles land here, use nearby sections or search the site.

Latest articles

Useful pages nearby

All articles
Igaming analytics: facts, limits and source checks — editorial illustration for Metric Lab
Metric Lab

iGaming Analytics: Metric Dictionary and Cohort Design

An iGaming analytics layer should define person, account, active user, session, deposit, withdrawal, stake, payout and GGY before calculating funnels or retention. Every dashboard needs a reporting timezone, currency rule, test-account filter, late-event policy and cohort key. Without those controls, two correct queries can still answer different questions.

Read
Sportsbook margin data: terms and risk context — editorial illustration for Metric Lab
Metric Lab

Sportsbook Margin Data: Overround, Hold and GGY

Displayed overround is calculated from a complete set of market odds. Realised hold compares stakes and payouts over settled activity. Regulatory GGY follows the reporting authority's definition and may not match an internal hold field. Put these measures in separate columns with their formula, population, currency, settlement status and period before comparing them.

Read
How to evaluate gaming compliance reporting without hype — editorial illustration for Compliance Data
Compliance Data

Gaming Compliance Reporting: A Data-Control Checklist

A defensible gaming compliance report connects every field to a definition, source system, owner, reporting period, validation rule, evidence record and revision history. The required submission depends on the licence and jurisdiction; this page is a data-control method, not legal advice or a universal return template.

Read
Responsible gambling metrics: terms and risk context — editorial illustration for Compliance Data
Compliance Data

Responsible Gambling Metrics: Denominators and Limits

Responsible-gambling reporting should combine tool availability, uptake, intervention delivery, customer response and longer-term outcomes. Every rate needs a denominator and observation window. Behavioural flags are imperfect risk indicators, not diagnoses; measure false positives, missed cases, channel effects and whether an intervention actually reduced risk rather than merely recording contact.

Read
How to read iGaming data: terms, risk and reader context — editorial illustration for Method Notes
Method Notes

How to Read iGaming Data: Five Questions First

Before comparing an iGaming number, ask five questions: what exactly is measured, which population is covered, what denominator is used, which dates apply and whether the series can be revised. A percentage without its denominator and a revenue figure without its currency, jurisdiction and definition are not analysis-ready data.

Read
Partner pick

BC.Game

Partner placement, 18+.

Useful routes to read next

Start with these pages: they connect fresh topics, core hubs and useful articles that need a clear entry point.

iGaming Data Labs 18+

Sponsored links may appear on this site and are marked as advertising. Set limits, avoid chasing losses and skip offers that create pressure.

Advertising and responsible-play policy