This event group covers the professional AHL hockey game between the Belleville Senators and Utica Comets scheduled for April 4, 2026 at 6:00 PM EDT. Markets resolve based on the final game outcome, including overtime and shootout results.
Polymarket and Kalshi use fundamentally different resolution logic. Polymarket resolves to the winner of the game (Belleville Senators or Utica Comets), while Kalshi's market structure resolves YES for either team winning, making it logically impossible to distinguish between outcomes and rendering the market unresolvable.
Hero Tip:
Do not trade on Kalshi's version of this market. The resolution criteria 'If Utica Comets wins...resolve to Yes' AND 'If Belleville Senators wins...resolve to Yes' means the market resolves YES regardless of outcome, making it a guaranteed YES with no NO resolution path. Polymarket's binary winner-take-all structure is the only resolvable version.
Critical Divergence Points:
Polymarket: Outlier: Resolves to the actual winner's name (Belleville Senators or Utica Comets) as a binary outcome. Market explicitly states 'If Belleville Senators win, the market will resolve to Belleville Senators. If Utica Comets win, the market will resolve to Utica Comets.' This creates a clear winner-loser distinction.
Kalshi: Outlier: Resolves YES if either team wins, with no NO resolution condition specified. The rules state 'If Utica Comets wins...resolve to Yes' and separately 'If Belleville Senators wins...resolve to Yes,' but provide no condition for a NO resolution, making both outcomes resolve identically 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.
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