This event group tracks the outcome of a professional Germany DEL (Deutsche Eishockey Liga) hockey match between Adler Mannheim and EHC Red Bull Munich, originally scheduled for April 17, 2026 at 1:00 PM EDT. The markets resolve based on which team wins the game in regulation, overtime, or shootout play.
Kalshi resolves YES for either team winning (both outcomes trigger YES), while Polymarket resolves to the winning team's name (mutually exclusive outcomes). This is a fundamental scope mismatch in how the markets are structured.
Hero Tip:
On Kalshi, you cannot lose—any game outcome (Mannheim or Munich win) resolves to YES. On Polymarket, you must pick the correct winner. If you want directional exposure to this game, use Polymarket; if you want to bet that the game will be completed (not canceled), use Kalshi.
Critical Divergence Points:
Kalshi:
Market resolves YES if either Adler Mannheim wins OR Red Bull Munich wins. The rule states: 'If Adler Mannheim wins... then the market resolves to Yes' AND 'If Red Bull Munich wins... then the market resolves to Yes.' This creates a logical structure where both possible outcomes trigger YES, making the market a bet on game completion rather than team selection.
Polymarket:
Market resolves to the name of the winning team: 'Adler Mannheim' if Mannheim wins, or 'EHC Red Bull Muenchen' if Munich wins. These are mutually exclusive outcomes. Includes explicit edge cases: postponement keeps market open until completion; cancellation with no makeup resolves 50-50. Shootout adds one goal to winner's score for resolution purposes.
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.