This event group covers a professional CONMEBOL Sudamericana soccer match between América de Cali and Club Alianza Atlético scheduled for April 15, 2026. Markets across platforms assess three mutually exclusive outcomes: a win for América de Cali, a win for Club Alianza Atlético, or a draw, all evaluated within 90 minutes of regular play plus stoppage time.
Kalshi's market specification contains a logical contradiction where all three mutually exclusive outcomes are stated to resolve to Yes. This makes the market fundamentally unresolvable as written and suggests a documentation or data entry error.
Hero Tip:
Do not trade on Kalshi's stated terms until clarification is obtained directly from the platform. The market structure violates basic logic (three mutually exclusive events cannot all be true). Polymarket's three separate binary markets provide clear, resolvable logic. Confirm Kalshi's actual market mechanics before any settlement action.
Critical Divergence Points:
Kalshi: Three binary markets stated as: (1) If America Cali wins, resolve Yes; (2) If Alianza Atletico wins, resolve Yes; (3) If Tie, resolve Yes. This is logically impossible since only one outcome occurs per match. The market structure appears to be a documentation error.
Polymarket: Three independent binary markets with mutually exclusive outcomes: (1) Alianza Atlético Win = Yes/No; (2) América de Cali Win = Yes/No; (3) Draw = Yes/No. Exactly one resolves Yes, others No. Postponement keeps markets open; cancellation with no makeup resolves Draw to Yes, others 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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