UK Gambling Commission Releases First Open Banking Analysis on Illegal Gambling Activity

Elena Koch · Nov 1, 2026

UK Gambling Commission Releases First Open Banking Analysis on Illegal Gambling Activity

Illustration of UK gambling data analysis charts showing payment trends and regulatory oversight

The UK Gambling Commission published its initial open banking data analysis on illegal gambling on October 28, 2026, and this report examined payment patterns among users who transacted with unlicensed operators while also tracking activity on licensed platforms. Observers note that the study focused on a specific cohort of 122 individuals who made repeated payments to black market sites, and it revealed substantial overlap with regulated gambling environments without any major reduction in licensed betting following those illegal engagements.

Core Findings from the Payment Data Review

Among the 122 individuals identified through repeated transactions with unlicensed operators, 91 percent continued to place bets on licensed sites as well, and the figures indicate no substantial drop in activity on regulated platforms after users began engaging with illegal ones. Data from the analysis shows that these patterns emerged through open banking records, which allowed the commission to trace direct payments and cross-reference them against known licensed operators in Great Britain. Researchers discovered that the overlap suggests many users maintain accounts across both licensed and unlicensed channels rather than shifting entirely away from regulated options.

What's notable is how the study isolated cases of repeated illegal payments to ensure the sample reflected ongoing behavior instead of one-off incidents, and this approach provided clearer insight into user habits over time. The commission's methodology relied on anonymized transaction data to protect privacy while still capturing meaningful trends across the selected group.

Links to Problem Gambling Indicators

The analysis connected users of illegal gambling sites to markedly higher rates of problem gambling behaviors, with 45 percent of those in the illegal payment group scoring 8 or higher on the Problem Gambling Severity Index compared to just 6 percent among licensed gamblers within the same dataset. This index serves as a standard screening tool that measures gambling-related harm through a series of questions about control, consequences, and frequency. Those who've examined the numbers point out that the disparity highlights a potential concentration of higher-risk activity in unlicensed spaces, though the report stops short of establishing direct causation.

Graph depicting problem gambling severity index scores across licensed and unlicensed gambling participants

Further examination of the data reveals that individuals making payments to illegal operators exhibited elevated PGSI scores even when they maintained parallel activity on licensed sites, and this dual engagement did not appear to moderate the risk indicators. The commission's findings emphasize the value of open banking as a monitoring tool that can surface these patterns earlier than traditional methods allowed. Experts have observed that such insights could inform future regulatory strategies aimed at reducing exposure to unregulated markets.

Context and Timing of the October 2026 Release

Released at the end of October 2026, the report marks the first time the Gambling Commission has applied open banking data specifically to black market gambling, and it arrives amid ongoing efforts to strengthen oversight in Great Britain. The study builds on existing regulatory frameworks by incorporating real-time payment information that traditional surveys often miss, and this addition provides a more granular view of user movement between licensed and unlicensed options. People familiar with the sector note that November 2026 discussions among policymakers have referenced these early results as a baseline for tracking changes in illegal market activity going forward.

The sample size of 122 repeat users represents an initial slice of broader transaction data, yet it already demonstrates consistent trends that future iterations of the analysis can expand upon. According to the published findings, the absence of any notable decline in licensed gambling after illegal engagements suggests that users treat the two channels as complementary rather than substitutes in many cases.

Implications for Regulatory Monitoring

By leveraging open banking, the commission gained visibility into payment flows that previously remained hidden, and this capability allowed analysts to quantify the scale of crossover between legal and illegal operators with greater precision. The report details how 91 percent of the identified individuals sustained licensed activity, which underscores the complexity of user behavior in a mixed market environment. Those studying the results have noted that this dual participation could complicate enforcement efforts since blocking illegal sites alone may not redirect all activity to regulated channels.

Data indicates that the higher PGSI scores among illegal site users persist across the sample, and this pattern holds even for participants who split their spending between licensed and unlicensed platforms. The commission plans to refine its data collection methods in subsequent reports to capture additional variables such as deposit frequency and average transaction values. Observers note that continued application of open banking tools could help identify emerging risks before they escalate into wider issues.

Conclusion

The October 28, 2026 release of the open banking analysis provides a new lens on illegal gambling patterns in the UK, and it establishes baseline metrics around user overlap and problem gambling indicators that regulators can monitor over time. With 91 percent of the 122 repeat illegal payment users also active on licensed sites and no significant drop in that activity, the findings illustrate how some gamblers navigate both markets simultaneously. The elevated PGSI rates of 45 percent versus 6 percent further highlight distinctions in risk profiles between the groups studied. Future updates to this dataset will likely build on these initial observations to support more targeted regulatory responses.