This event group covers a professional KHL (Kontinental Hockey League) ice hockey match between Salavat Yulaev Ufa and Sibir Novosibirsk scheduled for February 24, 2026. Both Polymarket and Kalshi have created prediction markets on the outcome of this game, with resolution based on the final score including overtime and shootouts.
Kalshi's resolution logic is internally contradictory, mapping both possible game outcomes (Sibir win and Ufa win) to the same resolution state (Yes), making the market logically unresolvable. Polymarket uses a standard binary outcome structure with clear, mutually exclusive resolution paths.
Hero Tip:
Kalshi's market contains a data integrity failure in its resolution definition. Do not trade this market until the platform clarifies whether the Yes outcome should apply to only one team, or if the market definition is corrected. Polymarket's market is safe to trade based on standard binary sports betting logic.
Critical Divergence Points:
Polymarket:
Binary outcome market with mutually exclusive resolution paths. Resolves to team name of winner. Handles edge cases: postponement keeps market open; cancellation with no makeup resolves 50-50. Final score includes overtime and shootouts (one goal added to winner in shootout). Clear, resolvable logic.
Kalshi:
Yes/No market with contradictory resolution criteria. States both Sibir win AND Ufa win resolve to Yes, leaving No outcome impossible. This is a logical contradiction that makes the market unresolvable as written. No edge case handling documented.
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.