Polymarket structures three separate binary markets (Leonesa win, Draw, Andorra win) that are mutually exclusive and collectively exhaustive, while Kalshi presents three markets that all resolve YES for any outcome, making Kalshi's markets logically incoherent and fundamentally unresolvable.
Hero Tip:
Do not trade Kalshi markets in this group. Kalshi's three markets are contradictory—they cannot all resolve YES simultaneously, yet the rules state each resolves YES for mutually exclusive outcomes. Polymarket's structure is logically sound: exactly one of the three markets will resolve YES based on the match result. Trade only Polymarket if you want a coherent, resolvable market.
Critical Divergence Points:
Polymarket:
Aligned with sound logic: Polymarket offers three mutually exclusive binary markets (Leonesa win YES/NO, Draw YES/NO, Andorra win YES/NO). Exactly one resolves YES based on the 90-minute match outcome. Primary source is official LaLiga statistics within 2 hours of conclusion. Quote: 'If Cultural y Deportiva Leonesa wins, this market will resolve to Yes. Otherwise, this market will resolve to No.'
Kalshi:
Outlier: Kalshi presents three markets that each claim to resolve YES for different outcomes, but the outcomes are mutually exclusive (Andorra win, Tie, Leonesa win). All three cannot resolve YES simultaneously. This creates a logical contradiction where the market group is unresolvable. Quote: 'If Andorra wins...then the market resolves to Yes. If Tie wins...then the market resolves to Yes. If Cultural Leonesa wins...then the market resolves to Yes.'
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.