Kalshi market structure is logically contradictory and unresolvable. All three outcome markets (Juan Pablo II win, Comerciantes U. win, Tie) are defined to resolve YES independently, which violates the mutual exclusivity requirement of a three-way outcome event where exactly one outcome must occur.
Hero Tip:
Do not trade the Kalshi markets for this event. The resolution logic is broken—all three markets cannot simultaneously resolve YES, yet the platform's rules state each resolves YES for its respective outcome. Polymarket offers coherent, mutually exclusive resolution logic and should be the primary trading venue.
Critical Divergence Points:
Polymarket: Three mutually exclusive binary markets with coherent logic: Market 1 resolves YES only if Juan Pablo II wins; Market 2 resolves YES only if draw occurs; Market 3 resolves YES only if Comerciantes Unidos wins. Exactly one market will resolve YES. Resolution source is official Liga 1.pe statistics or credible consensus within 2 hours post-match. Cancellation with no makeup resolves draw market to YES, win markets to NO.
Kalshi: Three independent markets each defined to resolve YES for their respective outcome: 'If Juan Pablo II College wins...then resolves to Yes', 'If Comerciantes U. wins...then resolves to Yes', 'If Tie wins...then resolves to Yes'. This creates a logical impossibility—exactly one outcome will occur, but all three markets are structured to resolve YES for their outcome, meaning either all three resolve YES (impossible) or the platform must apply unstated tie-breaking logic not documented in the rules provided.
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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