This event group covers a single professional AHL (American Hockey League) game between the Hershey Bears and Belleville Senators scheduled for February 14, 2026 at 7:00 PM EST. Markets on Kalshi and Polymarket are pricing the outcome of this game, with different resolution structures and edge-case handling.
Kalshi market contains a logical contradiction where both possible game outcomes (Belleville win and Hershey win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable. Polymarket uses standard winner-take-all resolution.
Hero Tip:
Avoid trading Kalshi until the market is corrected. The Kalshi market as written cannot distinguish between outcomes. Use Polymarket as your primary market for this event, which has clear resolution logic: Hershey Bears resolves to 'Hershey Bears', Belleville Senators resolves to 'Belleville Senators', with explicit postponement and cancellation protocols.
Critical Divergence Points:
Kalshi:
Both Belleville win and Hershey win resolve to Yes. This is a logical contradiction. Quote: 'If Belleville Senators wins...then the market resolves to Yes. If Hershey Bears wins...then the market resolves to Yes.'
Polymarket:
Standard categorical resolution: Hershey Bears win resolves to 'Hershey Bears', Belleville Senators win resolves to 'Belleville Senators'. Includes postponement (market stays open) and cancellation (50-50 split) protocols. Quote: 'If Hershey Bears win, the market will resolve to Hershey Bears. If Belleville Senators win, the market will resolve to Belleville Senators.'
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.