This event group covers three linked prediction markets on the SE Palmeiras vs. Mirassol FC professional soccer match scheduled for March 15, 2026, in Brazil's Série A. All markets resolve based on the outcome after 90 minutes of regular play plus stoppage time, excluding extra time and penalties.
Polymarket's draw market has an asymmetric cancellation clause (resolves YES on permanent cancellation) that contradicts its win/loss markets (resolve NO on cancellation). Kalshi provides no explicit cancellation guidance across any outcome market.
Hero Tip:
Monitor for game postponement or cancellation announcements. If the match is permanently canceled, Polymarket traders face a split resolution: draw YES, Palmeiras win NO, Mirassol win NO. Kalshi's behavior is undefined. Request explicit cancellation protocols from both platforms before March 15, 2026.
Critical Divergence Points:
Polymarket: Three separate binary markets: Palmeiras win YES/NO, Mirassol win YES/NO, and draw YES/NO. All reference 90 minutes plus stoppage time. Cancellation clause is asymmetric: draw market resolves YES if canceled with no make-up; win/loss markets resolve NO on cancellation. Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve Yes' (draw only).
Kalshi: Three outcome markets presented as conditional statements: if Palmeiras wins then YES, if Mirassol wins then YES, if Tie then YES. All reference 90 minutes plus stoppage time. No explicit cancellation or postponement clause provided. Quote: 'then the market resolves to Yes' (outcome-dependent only).
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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