AHL: Wilkes-Barre/Scranton Penguins vs. Springfield Thunderbirds
Volume:
$2,122
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) matchup between the Wilkes-Barre/Scranton Penguins and Springfield Thunderbirds scheduled for February 18, 2026 at 7:05 PM EST. Markets on both Polymarket and Kalshi are betting on the outcome of this professional hockey game.
Kalshi market contains a logical contradiction: both possible game outcomes (Springfield win and Penguins win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable and creating data integrity failure.
Hero Tip:
Do not trade on Kalshi. The market logic is broken and cannot settle correctly. Polymarket is the only viable venue for this event, with clear mutually exclusive outcomes.
Critical Divergence Points:
Polymarket: Standard moneyline structure with three distinct outcomes: Penguins win resolves to Penguins, Thunderbirds win resolves to Thunderbirds, cancellation with no makeup resolves 50-50. Includes overtime and shootout handling (one goal added to winner's score for resolution purposes).
Kalshi: Binary Yes/No structure with critical logical error: both Springfield Thunderbirds win AND Wilkes-Barre/Scranton Penguins win are stated to resolve to Yes. This creates a logical impossibility where every game outcome produces the same resolution.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.