This event group covers a single AHL (American Hockey League) regular season game between the Toronto Marlies and Syracuse Crunch scheduled for March 11, 2026 at 7:00 PM EDT. Both Polymarket and Kalshi have created prediction markets on the outcome of this game, with resolution based on the final score including overtime and shootouts.
Kalshi market contains a logical contradiction where both possible game outcomes (Toronto Marlies win and Syracuse Crunch win) are mapped to the same resolution state (Yes), making the market fundamentally unresolvable and creating a data integrity failure.
Hero Tip:
Do not trade the Kalshi market in its current form. The resolution logic is broken and cannot distinguish between the two outcomes. Trade on Polymarket instead, which has clear binary resolution logic. Contact Kalshi support to request clarification or correction of the resolution criteria.
Critical Divergence Points:
Polymarket:
Binary outcome market with clear winner-take-all logic. Resolves to the name of the winning team (Toronto Marlies or Syracuse Crunch). Includes explicit handling of postponements (market remains open) and cancellations (50-50 split). Shootout goals are counted toward final score. Source: theahl.com/stats/schedule.
Kalshi:
Market structure is contradictory. Both conditions state resolution to Yes: If Toronto wins = Yes, If Syracuse wins = Yes. This creates logical impossibility where the market cannot differentiate between outcomes. No explicit cancellation or postponement rules provided. Source: Kalshi platform.
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.