This event group covers a professional SHL (Swedish Hockey League) match between Växjö Lakers and Brynas IF scheduled for March 24, 2026 at 2:00 PM EDT. Both Kalshi and Polymarket have created markets to predict the winner of this single game.
Kalshi's resolution logic is contradictory and unresolvable: both outcomes (Växjö wins OR Brynas wins) resolve to YES, leaving no path to NO resolution. Polymarket uses standard binary logic where exactly one team wins and resolves accordingly, with clear handling of postponement and cancellation scenarios.
Hero Tip:
Do not trade on Kalshi's market — it contains a logical error that makes it impossible to resolve to NO under any realistic game outcome. Polymarket's market is tradeable and follows standard sports betting logic. If you hold Kalshi YES, expect potential voiding or manual intervention by Kalshi's settlement team.
Critical Divergence Points:
Kalshi:
Outlier: Both possible game outcomes (Växjö Lakers wins OR Brynas IF wins) are specified to resolve to YES, creating a logical contradiction with no NO resolution path. The market states 'If Växjö Lakers wins...then the market resolves to Yes' and separately 'If Brynas IF wins...then the market resolves to Yes.'
Polymarket:
Aligned with standard binary sports resolution: Exactly one outcome resolves to each result — 'If Vaexjoe win, the market will resolve to Vaexjoe' and 'If Brynaes win, the market will resolve to Brynaes.' Includes explicit handling for postponement (market remains open) and cancellation (50-50 split).
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.