PGSI-based player risk classification – built for operators, developed by experts
Perhaps the most, scientifically validated, dynamically adaptive risk classification tool on the market. 15 short statements. 284 tailored feedback variations. One operator-ready integration layer — delivering player protection and regulator-ready evidence in the same motion.
✅ 3M+ tests completed across operators worldwide
✅ EL / WLA / SGA-aligned Out of the box
✅ 20+ jurisdictions From Nordic lotteries to multi-market groups
Trusted by the gambling industry
Across the globe, companies have entrusted us as their service and product provider to safeguard players.
WHAT MAKES IT DIFFERENT
Three things no other self-test on the market can claim
01
Dynamic, not static.
Most self-tests hand every player the same generic result. GamTest doesn't. Every player's response pattern across 15 statements maps to one of 284 distinct feedback variations — personalised tips, relevant resources, and CTAs the operator can tailor to their own brand and tools.
02
PGSI-anchored, operator-adapted.
The Problem Gambling Severity Index is the clinical gold standard for measuring gambling harm. GamTest is validated directly against it, corresponding to players' own experience of harm with Cronbach's α = .94 (Jonsson et al. 2017). Academic rigour, engineered for live operator environments.
10,402 participants · Nordic studies
03
Operator-grade from day one.
1-day branding setup. 20+ languages. Every device and browser. GDPR-compliant and aligned with EL and WLA standards out of the box. Anonymous mode for lightweight deployments. identified mode for operators who want test results linked to CRM, intervention engines, or in-house risk models.
Deployed in 20+ jurisdictions
WHY 284 MATTERS
Same 15 statements.
Fundamentally different feedback
Every player is scored across five dimensions: overconsumption of money, overconsumption of time, and financial, social, and emotional consequences.
Their specific combination of scores determines the feedback they see, not a generic green/yellow/red verdict, but targeted reflection prompts and CTAs.
Easily adjust recommendations, promote specific tools and resources, and tailor the options that appear for each player based on their test results.
Three operator-ready use cases
USE CASE 01
Duty of Care segmentation
Use risk scores to prioritise proactive outreach. Teams working under UKGC, MGA, Spelinspektionen and emerging EU regulations use GamTest as a standardised, defensible input into their intervention workflow.
USE CASE 02
Responsible marketing & promotional suppression
Link risk profiles to CRM segments so promotional campaigns automatically suppress at-risk players. Demonstrates to regulators that marketing and RG are a single system.
USE CASE 03
Regulator-ready reporting and evidence
The Back Office produces the numbers regulators, compliance teams, and boards actually ask for: completion volumes, CTA performance, risk-level distribution, and user feedback. All exportable, all audit-ready.
Anonymised case
"A major Nordic operator uses their GamTest dashboard as a core input in monthly leadership reporting. Beyond completion rates, they track which RG resources are most clicked by at-risk players — informing which tools to promote, which messaging to retire, and where to invest next."
WHAT YOUR DASHBOARD ACTUALLY TELLS YOU
Insights that move from "nice to have" to "we use this every monthly review"
Every completed test feeds directly into your GamTest Back Office. What you get isn't a PDF report. It's a live, filterable dashboard showing the shape of your player base, the effectiveness of your resources, and patterns you likely didn't have visibility into before.
Hear what our customers have to say about GamTest
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"It is appreciated by many players who want to investigate how their gambling affects them."
For us who work with responsible gambling, a player taking a “red” test is a signal that we need to investigate further, preferably by calling or chatting with the player. Self-tests are also a great source of knowledge in understanding what behaviors are more risky and linked to experiencing problems.
– Axel Lyckberg, Responsible Gambling Specialist at Svenska Spel
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"GamTest is in our opinion one of the most advanced products on the market"
GamTest is one of very few self assessments that are based on real research. We love the ability to use GamTest for proactive interactions with our players. It’s a very convenient way for players and ourselves to get a detailed overview of their gambling habits and see areas of increased risk.
– Eduards Jakubovs, Head of Safer Gambling, Betsson Group
FOR TECHNICAL BUYERS
Building risk models in-house?
Here's the data layer most teams are missing.
Most operator risk models are trained on behavioural proxies: deposit velocity, session length, loss chasing, time-of-day patterns. They flag behaviour. What they lack is validated ground truth — a trustworthy signal that a flagged player is actually experiencing harm.
Two recent peer-reviewed studies make this gap explicit.
Auer & Griffiths (2026)
Comparing multiple machine-learning approaches to predict self-reported problem gambling, both studies converge on persistent calibration issues and high false-positive rates when relying on behavioural proxies alone.
Heirene et al. (2025)
Examining online sports and race bettors, behavioural-data-only models reached an AUROC of approximately 0.74–0.75. Adding just two self-reported variables raised performance to roughly 0.85 AUROC — approximately a 40% reduction in model error space.
If you want AI to predict gambling harm rather than just risky play, you need training data that actually represents harm. GamTest in identified mode is exactly that — a structured, PGSI-anchored five-factor risk profile tied to every test-taking player.
HOW WE THINK ABOUT IT
"GamTest protects players first. Because it does so with scientifically validated labels, it also produces the most useful training data an operator risk team can get their hands on. Player protection and better models are the same motion — not a trade-off."
The science behind GamTest.
GamTest is not a self-test built by a marketing team. It has been developed, refined and validated by clinical psychologists and researchers over more than a decade. The five-factor model, feedback logic, and scoring thresholds are the result of large-scale empirical studies — not guesswork.
Trusted by 3 000 000+ players worldwide
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“The test was very good. It helped highlight some of my problems I didn’t notice I had. Thank you.”
– Man, 36 years
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"I can see clearer now. Helped me to access the factors that determine whether I might have a problem with gambling. Good test. Thank you"
– Man, 67 years
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"Very helpful tool. Makes you stop and think"
– Woman, 43 years
Client security
All personal data is encrypted and securely stored within the GDPR-compliant software.
Choose your GamTest
Looking for an easy-to-use tool for reliable insights into the well-being of your overall player population? Then GamTest might be the right choice for you. With its robust back-office tool, you can effortlessly analyse statistics and compile the reports you need.
Want to do all of the above but take it to the next level? Integrate GamTest Plus with your existing systems to add additional layers to risk profiles and automate timely measures – making sure the right actions are taken precisely when needed.
| Features | GamTest | GamtTest Plus |
|---|---|---|
| Detailed 5-factor player risk profile with personalised feedback | ✅ | ✅ |
| Customise to your brand, colours and call to actions | ✅ | ✅ |
| Back-office tool for on-demand statistics, reporting and follow-up | ✅ | ✅ |
| GDPR compliant | ✅ | ✅ |
| Available in 20+ languages | ✅ | ✅ |
| Player risk profile identified to individual players | ✅ | |
| Track individual players and integrate with CRM systems | ✅ | |
| View test history for individual players | ✅ | |
| Real-time data synchronisation with integrated systems | ✅ |
WEBINAR
Unlocking the potential of self-assessment tools: Get inspired by industry examples
A webinar with Christofer Hagstedt, CBDO at Sustainable Interaction, discussing the unrealised potential of self-assessment tools. Watch the webinar to get several concrete examples of how to use self assessments to protect customers and support your work on responsible gambling.
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