This event group covers a professional Swiss National League (NL) ice hockey match between Fribourg-Gotteron and Geneve-Servette scheduled for April 12, 2026. Markets resolve based on which team wins the game, including overtime and shootout outcomes.
Kalshi market contains a logical contradiction where both possible game outcomes (Genève Servette win and Fribourg Gottéron win) are mapped to Yes resolution, making the market fundamentally unresolvable and creating data integrity failure.
Hero Tip:
Avoid trading on Kalshi until the platform corrects the market definition. The Polymarket version is logically consistent and safe to trade. Kalshi's error means no outcome can be definitively resolved as No.
Critical Divergence Points:
Polymarket: Binary outcome market with mutually exclusive resolution paths. Fribourg-Gotteron victory resolves to 'Fribourg-Gotteron', Geneve-Servette victory resolves to 'Geneve-Servette'. Postponements extend market; cancellations without makeup resolve 50-50. Shootout goals counted as one goal for winning team. Key Quote: 'If Fribourg-Gotteron win, the market will resolve to "Fribourg-Gotteron". If Geneve-Servette win, the market will resolve to "Geneve-Servette".'
Kalshi: Yes/No market with contradictory resolution logic. Both win conditions incorrectly map to Yes: 'If Genève Servette wins...resolves to Yes' and 'If Fribourg Gottéron wins...resolves to Yes'. No condition maps to No, creating logical impossibility. Key Quote: Both 'If Genève Servette wins' and 'If Fribourg Gottéron wins' conclude with 'then the market resolves to Yes.'
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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