This event group covers a professional Czech Extraliga ice hockey match between HC Dynamo Pardubice and HC Kometa Brno scheduled for February 25, 2026. Both Polymarket and Kalshi have created markets on the outcome of this single game, with different resolution structures and logical frameworks.
Kalshi market contains a logical contradiction where both possible outcomes (Pardubice win and Kometa win) are stated to resolve to Yes, making the market unresolvable. Polymarket uses a coherent binary framework resolving to the winning team's name.
Hero Tip:
Do not trade the Kalshi market in its current form. The resolution logic is contradictory and violates fundamental market design principles. Polymarket's market is logically sound and should be the primary trading venue for this event.
Critical Divergence Points:
Polymarket: Binary outcome market with coherent logic. Resolves to Dynamo Pardubice if Pardubice wins, or Kometa if Kometa wins. Postponements keep market open; cancellations resolve 50-50. Includes shootout clarification (one goal added to winner's score). Key Quote: The result will be determined based on the final score including any overtime periods and shootouts.
Kalshi: Logically incoherent market structure. States both If HC Pardubice wins then resolves to Yes AND If HC Kometa Brno wins then resolves to Yes. This creates a logical impossibility where both mutually exclusive outcomes map to the same resolution state. Key Quote: If HC Pardubice wins... resolves to Yes. If HC Kometa Brno wins... 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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