Where the cluster lands
Median trust score in this cluster: 45/100. That is 5 points above the Atlas-wide median of 40/100.
Across 12 scored brands: 9 at 40-59, 3 under 40.
Bookmaker Atlas · Cluster File
Prediction Markets is a prediction-market platform. The brands below run on the same market-making engine (same outcomes, different KYC and jurisdictional rules).
Median trust score in this cluster: 45/100. That is 5 points above the Atlas-wide median of 40/100.
Across 12 scored brands: 9 at 40-59, 3 under 40.
Brands in this cluster accept players from 1 country in total. The biggest concentrations are Slovenia (2 brands).
Atlas has not aggregated specific red-flag patterns for this cluster yet.
All 12 brands running on Prediction Markets. Search by name or filter by licence tier. The dot beside each brand shows what tier its operator's licence holds.
Showing 12 of 12
Prediction Markets prediction-market brands settle on real-world events, not traditional sports lines. Liquidity, settlement criteria, and regulatory standing all behave differently from sportsbooks.
Step 1
Prediction-market contracts settle based on a specific data source. Ambiguous or moving criteria are the single biggest source of disputes; check the contract text first.
Step 2
Prediction markets sit in a patchwork of regulatory regimes. Some are gambling, some are commodity exchanges, some are unregulated. Atlas surfaces the brand's actual licence status.
Step 3
Many prediction-market brands operate primarily on crypto rails. Understand whether fiat withdrawal exists and what KYC it triggers.
Step 4
When a contract settles unexpectedly, the brand-level audit and red-flag list typically picks up the controversy. Recurring resolution disputes are a strong negative signal.
Of the 12 brands Atlas tracks in this cluster, 12 hold no documented Tier 1, 2, or 3 licence in the public registries Atlas reads. Brand-level licence is the single biggest variable that determines your dispute rights, segregated-funds protection, and complaint channel; a cluster without strict regulator representation is a structural signal worth weighing before depositing.
The 12 brands in the Prediction Markets cluster collectively accept players from 1 country. Atlas tracks the footprint per-brand from public terms of service and active payment-rail coverage; aggregating across the cluster gives a rough sense of which regions the cluster's operators target.
They share an operator, an odds engine, a platform, or all three. Atlas tracks the affiliation so a player can see when "different" brands are run by the same back-end. The grouping comes from public regulator filings, corporate ownership disclosures, and infrastructure fingerprinting, not from guesswork.
Often yes. A withdrawal delay, an independent web-security flag, or a regulator action against one brand in the cluster is usually a sign of the same on the rest. Atlas score components that track infrastructure (security, threat intelligence) tend to move together for sibling brands.
License jurisdiction is the single biggest reason. A brand licensed in the UK or Malta gives a player binding dispute-resolution rights that the same operator running under a Caribbean license does not. Brand-specific support staffing and country availability also matter.
Tied to the operator in most clusters. If the operator has a payout-delay history, the player will see it regardless of which brand label they signed up under. Atlas surfaces the operator-level evidence on every clone page.
Each brand scores independently, but the evidence trail often overlaps. If a regulator fines the operator, every sibling brand under that operator picks up the fine in the threat-intelligence component. The license component scores per-brand because licenses are issued per-brand.
Trust score computed from 6 weighted components (licensing, corporate, security, reviews, threat intel, operational). License data verified against public authority records. Last verified 53 days ago.
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