This event group covers a single AHL (American Hockey League) game between the Milwaukee Admirals and Iowa Wild scheduled for February 24, 2026 at 8:00 PM EST. Both Polymarket and Kalshi have created markets to predict the outcome of this professional hockey matchup.
Kalshi's resolution criteria contains a logical contradiction where both possible game outcomes (Milwaukee Admirals win OR Iowa Wild win) are stated to resolve to Yes, making the market fundamentally unresolvable as written. Polymarket uses standard binary logic with clear outcome mapping.
Hero Tip:
Do not trade Kalshi's version of this market until the contradiction is resolved. Contact Kalshi support to clarify whether this is a documentation error. Polymarket's market is logically sound and tradeable. The game outcome is deterministic (one team will win), so a Yes/Yes resolution structure is impossible.
Critical Divergence Points:
Polymarket: Binary outcome market with mutually exclusive resolution paths. Milwaukee Admirals victory resolves to Milwaukee Admirals, Iowa Wild victory resolves to Iowa Wild. Includes clear edge case handling: postponement keeps market open, total cancellation resolves 50-50. Resolution includes overtime and shootout outcomes (shootout adds one goal to winner's score for scoring purposes).
Kalshi: Yes/No market with stated resolution logic that maps both possible outcomes to Yes. Both Milwaukee Admirals win and Iowa Wild win are described as resolving to Yes, creating a logical impossibility. No edge case handling for postponement or cancellation is documented.
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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