AHL: Wilkes-Barre/Scranton Penguins vs. Laval Rocket
Volume:
$3,107
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 Laval Rocket scheduled for March 18, 2026 at 7:00 PM EDT. Markets on Polymarket and Kalshi are tracking the outcome of this game, with resolution based on the final score including overtime and shootout results.
Kalshi's resolution logic omits edge cases (cancellation, postponement, no-contest) that Polymarket explicitly addresses. This creates settlement ambiguity for Kalshi if the game does not proceed as scheduled.
Hero Tip:
If you are trading on Kalshi, request explicit resolution rules for cancellation and postponement scenarios before the event date. Polymarket's framework is more complete and should be treated as the reference standard. Monitor theahl.com for any schedule changes that might trigger these edge cases.
Critical Divergence Points:
Polymarket: Comprehensive three-outcome framework: Penguins win resolves to Penguins, Rocket win resolves to Rocket, cancellation with no makeup resolves 50-50. Postponement keeps market open. Shootout adds one goal to winner's score for resolution purposes. Source: theahl.com/stats/schedule.
Kalshi: Binary Yes/No logic: Yes if Penguins win OR Yes if Rocket wins. No explicit guidance on cancellation, postponement, or no-contest outcomes. Assumes game will be completed as scheduled on Mar 18, 2026 at 7:00 PM EDT.
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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