Kalshi markets are logically contradictory—all three outcome markets (Al-Hazm win, Al-Riyadh win, tie) resolve YES, making simultaneous winning impossible. Polymarket markets are mutually exclusive and resolvable. This creates a fundamental data integrity failure on Kalshi.
Hero Tip:
Do not trade Kalshi markets in this group—they are unresolvable as written. All three outcomes cannot occur simultaneously. Trade only Polymarket markets, which have coherent mutually-exclusive logic: one market resolves YES (draw), and exactly one of the two team-win markets resolves YES.
Critical Divergence Points:
Kalshi: All three markets (Al-Hazm win, Al-Riyadh win, tie) are written to resolve YES if their respective outcome occurs. This creates a logical impossibility: exactly one outcome will occur in the match, but Kalshi's rules state all three markets resolve YES. Quote: 'If Al-Hazm wins...then the market resolves to Yes. If Al-Riyadh wins...then the market resolves to Yes. If Tie wins...then the market resolves to Yes.' This violates basic mutual exclusivity.
Polymarket: Three mutually exclusive markets with coherent logic: (1) Draw market resolves YES only if match ends in a draw, NO otherwise; (2) Al-Riyadh win market resolves YES only if Al-Riyadh wins, NO otherwise; (3) Al-Hazm win market resolves YES only if Al-Hazm wins, NO otherwise. Cancellation rules are defined: draw market resolves YES if canceled; team-win markets resolve NO if canceled. Quote: 'If the game ends in a draw, this market will resolve to Yes. Otherwise, this market will resolve to No.'
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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