This event group covers a single AHL (American Hockey League) matchup between the Ontario Reign and Coachella Valley Firebirds scheduled for March 13, 2026. Markets on both Polymarket and Kalshi are betting on the outcome of this professional ice hockey game, with resolution based on the final score including overtime and shootouts.
Kalshi market contains a logical contradiction: both Ontario Reign winning and Coachella Valley Firebirds winning are stated to resolve to Yes, which is impossible in a binary market structure. This makes the market unresolvable and creates critical settlement ambiguity.
Hero Tip:
Do not trade on Kalshi. The market is logically broken and will create disputes at settlement. Trade exclusively on Polymarket, which has clear, mutually exclusive resolution criteria. Monitor theahl.com for game status and final score including overtime/shootout determination.
Critical Divergence Points:
Polymarket:
Binary outcome market with three explicit resolution paths: Ontario Reign win resolves to Ontario Reign, Coachella Valley Firebirds win resolves to Coachella Valley Firebirds, or if canceled with no makeup game, resolves 50-50. Shootout rule explicitly states one goal added to winner's score for resolution. Source: theahl.com/stats/schedule.
Kalshi:
Market states If Ontario Reign wins then resolves to Yes AND If Coachella Valley Firebirds wins then resolves to Yes. This is logically contradictory in a binary market and makes resolution impossible, as both mutually exclusive outcomes cannot both resolve to the same value.
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.