This event group covers a Swiss National League (SNHL) ice hockey match between HC Ambri-Piotta and SC Bern scheduled for March 7, 2026. Markets on Polymarket and Kalshi are betting on the winner of this professional hockey game, with resolution based on final score including overtime and shootouts.
Kalshi market contains a logical contradiction: both possible outcomes (Bern win and Ambri-Piotta win) are mapped to the same resolution state (Yes), making the market unresolvable and economically incoherent. Polymarket provides a valid binary structure.
Hero Tip:
Polymarket is the only tradeable market in this group. Kalshi's dual-YES structure is a data integrity failure—do not place capital at risk on Kalshi until the platform issues a formal amendment clarifying whether the Ambri-Piotta outcome should resolve to No. Escalate to Kalshi support immediately.
Critical Divergence Points:
Polymarket:
Binary winner-take-all. Ambri-Piotta win → resolves to 'Ambri-Piotta'. Bern win → resolves to 'Bern'. Postponement keeps market open; cancellation with no makeup resolves 50-50. Resolution includes overtime and shootouts (one goal added to winner's score in shootout). Key Quote: 'The result will be determined based on the final score including any overtime periods and shootouts.'
Kalshi:
Contradictory logic: 'If SC Bern wins...resolves to Yes' AND 'If HC Ambri-Piotta wins...resolves to Yes'. Both outcomes map to Yes, creating logical impossibility. No provisions stated for postponement or cancellation. Key Quote: Both conditions 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.