This event group covers a single Swiss National League (SNHL) professional ice hockey match between HC Davos and EHC Biel scheduled for March 9, 2026 at 2:45 PM EDT. Both Kalshi and Polymarket are pricing the outcome of this game, with Polymarket offering a categorical resolution (Davos vs. Biel) and Kalshi offering a binary Yes/No structure.
Kalshi's binary market structure is logically contradictory: both a Biel win and a Davos win are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket uses a categorical resolution model (Davos or Biel) with explicit edge-case handling. These are incompatible resolution frameworks.
Hero Tip:
Do not trade Kalshi's version of this market until the logic error is corrected. Polymarket's market is resolvable and includes clear postponement and cancellation rules. If you hold Kalshi positions, contact support to clarify whether the market will be voided or corrected.
Critical Divergence Points:
Kalshi:
Binary Yes/No structure with logical contradiction. Both Biel win and Davos win are stated to resolve to Yes. No edge-case handling for postponement or cancellation. Key Quote: If EHC Biel wins... resolves to Yes. If HC Davos wins... resolves to Yes.
Polymarket:
Categorical resolution (Davos or Biel) with explicit edge-case handling. Postponed games remain open until completion. Canceled games with no make-up resolve 50-50. Resolution includes overtime and shootout outcomes. Key Quote: If Davos win, resolves to Davos. If Biel win, resolves to Biel. If canceled entirely, resolves 50-50.
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.