AHL: Wilkes-Barre/Scranton Penguins vs. Belleville Senators
Volume:
$3,049
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 Belleville Senators scheduled for March 20, 2026 at 7:00 PM EDT. Markets on both Polymarket and Kalshi are betting on the outcome of this game, with resolution based on the final score including overtime and shootouts.
Kalshi's market resolution logic contains a logical contradiction: both possible game outcomes (Belleville Senators win OR Wilkes-Barre/Scranton Penguins win) are stated to resolve to Yes, leaving no valid No resolution path. This makes the market fundamentally unresolvable as a binary.
Hero Tip:
Do not trade the Kalshi version. The market structure is broken and will require manual settlement or cancellation. Use Polymarket as the authoritative reference for this event.
Critical Divergence Points:
Polymarket: Clear ternary resolution: resolves to 'Wilkes-Barre/Scranton Penguins' if they win, 'Belleville Senators' if they win, or 50-50 split if game is cancelled with no makeup. Final score including overtime and shootouts determines winner; shootout adds one goal to winner's score.
Kalshi: Logically incoherent binary structure. States 'If Belleville Senators wins...resolves to Yes' AND 'If Wilkes Barre-Scranton Penguins wins...resolves to Yes'. Both possible outcomes map to Yes, creating no valid No resolution state.
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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