This event group covers a single AHL (American Hockey League) regular season game between the Chicago Wolves and Rockford IceHogs scheduled for March 13, 2026 at 8:00 PM EDT. Markets resolve based on which team wins the game, with provisions for postponements, cancellations, and shootout scoring.
Kalshi's resolution criteria contains a logical contradiction: both mutually exclusive outcomes (Chicago Wolves win and Rockford IceHogs win) are mapped to the same resolution state (Yes), making the market fundamentally unresolvable. Polymarket uses a standard binary outcome structure.
Hero Tip:
This is a critical data integrity failure on Kalshi. The market cannot resolve correctly because the platform has not specified what happens if Rockford IceHogs wins - it only states both teams winning resolve to Yes. Avoid trading on Kalshi until the platform clarifies whether this should be a Yes/No binary on Chicago Wolves, or if the Rockford win condition should resolve to No.
Critical Divergence Points:
Polymarket: Binary outcome structure: resolves to "Chicago Wolves" if Chicago wins, "Rockford IceHogs" if Rockford wins. Handles postponements by keeping market open and cancellations without makeup by resolving 50-50. Final score includes overtime and shootouts (shootout winner gets +1 goal added).
Kalshi: Logical contradiction: states "If Chicago Wolves wins... resolves to Yes" AND "If Rockford Icehogs wins... resolves to Yes." Both mutually exclusive outcomes map to identical resolution, creating an unresolvable market. No guidance provided for postponements or cancellations.
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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