AHL: Wilkes-Barre/Scranton Penguins vs. Lehigh Valley Phantoms
Volume:
$525
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 Wilkes-Barre/Scranton Penguins and Lehigh Valley Phantoms scheduled for March 15, 2026 at 3:05 PM EDT. Markets on both Polymarket and Kalshi are betting on the outcome of this matchup, with resolution based on the final score including overtime and shootout results.
Kalshi's resolution criteria state that both possible game outcomes (either team winning) resolve to Yes, creating a logical contradiction with no valid No resolution path. This makes the market fundamentally unresolvable as specified.
Hero Tip:
Avoid trading Kalshi until the market terms are clarified. The current wording guarantees Yes resolution regardless of outcome, which violates basic binary market logic. Polymarket's moneyline structure is sound and should be your primary reference.
Critical Divergence Points:
Polymarket: Moneyline format with mutually exclusive outcomes. Resolves to team name of winner. Includes explicit handling for postponement (market stays open) and cancellation (50-50 split). Overtime and shootouts counted in final score.
Kalshi: Binary Yes/No structure, but both conditional statements (Lehigh Valley Phantoms wins OR Wilkes-Barre/Scranton Penguins wins) resolve to Yes. No condition specified for No resolution, making any game outcome resolve 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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