F4 - Methodology
Each rating starts with market depth, regulation, contract design, and settlement quality. The model now also measures how betting-led products introduce new users: event variety, welcome value, responsible-use controls, and whether promotional terms are understandable.
Prediction markets are no longer only a trader story. Polymarket and Kalshi still set the standard for exchange-style contracts, but the next wave is coming through betting products that already know how to onboard casual users. I therefore score both sides: the market mechanics that keep prices honest and the consumer details that make a first session realistic.
I start with the question itself. A good market names the event, the deadline, and the source that decides the outcome. After that I check payment rails, country restrictions, fees, limits, KYC, responsible-use tools, and the gap between promotional language and actual terms. If that gap is wide, the score comes down.
25%
Liquidity and pricingDepth, spreads, volume, and whether a serious user can enter and exit without moving the market badly.
20%
Regulation and custodyJurisdiction, account structure, fiat or crypto handling, and clarity around who supervises the product.
15%
Settlement qualitySource quality, resolution rules, dispute handling, and speed from event close to payout.
15%
Event range and designWhether markets are useful, varied, searchable, and framed around clear outcomes rather than vague headlines.
15%
Onboarding and offersWelcome bonuses, free bets, odds boosts, bet insurance, minimum deposits, and whether the terms are clear enough for a first session.
10%
Fees, limits, and protectionExplicit fees, hidden margin, withdrawal costs, practical order size, support, and responsible-use tools.