This event group covers a single AHL (American Hockey League) matchup between the Utica Comets and Belleville Senators scheduled for March 7, 2026 at 7:00 PM EST. Markets on both Polymarket and Kalshi are betting on the outcome of this professional ice hockey game, with resolution based on the final score including overtime and shootouts.
Kalshi's binary market structure contains a logical contradiction: both possible game outcomes (Utica win and Belleville win) are stated to resolve to Yes, which is impossible in a binary Yes/No market. Polymarket uses a clear winner-take-all categorical resolution.
Hero Tip:
This is a critical flaw in Kalshi's market design. Do not trade Kalshi's version without direct confirmation from their support team that the resolution logic has been corrected. Polymarket's market is resolvable and should be the preferred venue.
Critical Divergence Points:
Polymarket:
Categorical winner-take-all resolution. Utica Comets win resolves to 'Utica Comets'; Belleville Senators win resolves to 'Belleville Senators'. Postponements keep market open; total cancellations resolve 50-50. Shootout wins add one goal to winner's score for resolution purposes. Key Quote: 'The result will be determined based on the final score including any overtime periods and shootouts.'
Kalshi:
Binary Yes/No structure with contradictory logic: states both 'If Utica Comets wins...resolves to Yes' and 'If Belleville Senators wins...resolves to Yes'. This is logically impossible - only one team can win, so only one outcome should resolve to Yes. The market as documented is unresolvable.
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.