Polymarket and Kalshi use different market structures to cover the same underlying event. Polymarket offers Over/Under totals and spread markets with symmetric resolution logic, while Kalshi offers four asymmetric Yes/No markets that each resolve Yes only if a specific team wins by a specific margin.
Hero Tip:
If you trade these markets across platforms, note that Polymarket's spread markets (e.g., 'Real Betis (-1.5)') resolve to one of two outcomes based on final margin, whereas Kalshi's markets each resolve Yes only for a single outcome (e.g., 'Real Betis wins by >1.5'). A Polymarket spread bet covers both the Yes and No cases; a Kalshi Yes bet does not. Ensure your position sizing accounts for this structural difference.
Critical Divergence Points:
Polymarket: Distinct stance: Polymarket offers symmetric binary markets (Over/Under totals and spread markets where one outcome or the other must resolve). For example, 'Real Betis (-1.5)' resolves YES if Real Betis wins by 2+ goals, otherwise NO. Each market has exactly two mutually exclusive outcomes. Primary source is laliga.com official statistics within 2 hours of match conclusion, with fallback to credible reporting consensus.
Kalshi: Distinct stance: Kalshi offers four separate asymmetric Yes/No markets, each resolving Yes only if a specific team wins by a specific margin (e.g., 'Espanyol wins by >2.5 goals' or 'Real Betis wins by >1.5 goals'). Each market can resolve Yes or No independently; multiple markets may resolve No simultaneously. No explicit primary source or fallback mechanism is stated in the market descriptions.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.
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