AHL: Lehigh Valley Phantoms vs. Charlotte Checkers
Volume:
$1,514
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a single AHL (American Hockey League) regular season game between the Lehigh Valley Phantoms and Charlotte Checkers scheduled for March 22, 2026 at 1:00 PM EDT. Markets on Polymarket and Kalshi are designed to resolve based on the final game outcome, with provisions for postponements, cancellations, and shootout scoring.
Kalshi market contains a logical contradiction: both possible game outcomes (Charlotte Checkers win or Lehigh Valley Phantoms win) are mapped to Yes, leaving no valid No state and making the market unresolvable under standard binary logic.
Hero Tip:
Avoid trading the Kalshi contract until the platform clarifies whether this is a drafting error, a dual-outcome market, or a reversed Yes/No definition. Polymarket's structure is sound and resolvable. Request written clarification from Kalshi before committing capital.
Critical Divergence Points:
Polymarket: Binary categorical resolution: market resolves to the name of the winning team (Lehigh Valley Phantoms or Charlotte Checkers). Postponements keep market open; cancellations with no makeup resolve 50-50. Shootout goals are counted as one goal added to winner's score.
Kalshi: Stated as binary Yes/No but both game outcomes map to Yes: 'If Charlotte Checkers wins...resolves to Yes' AND 'If Lehigh Valley Phantoms wins...resolves to Yes.' No valid No condition is defined, creating a logical impossibility.
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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