KHL: Salavat Yulaev Ufa vs. Avtomobilist Yekaterinburg
Volume:
$31,272
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a professional KHL (Kontinental Hockey League) ice hockey match between Salavat Yulaev Ufa and Avtomobilist Yekaterinburg scheduled for March 29, 2026. Markets on Polymarket and Kalshi are betting on the outcome of this single game, with resolution based on the final score including overtime and shootouts.
Kalshi's market structure contains a logical contradiction: both possible game outcomes (Ufa win and Avtomobilist win) are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket uses standard winner-take-all binary logic.
Hero Tip:
This is a critical data integrity issue on Kalshi. The market cannot settle as written because exactly one team will win, but both outcomes map to Yes. Request clarification from Kalshi before trading. Polymarket's market is resolvable and uses standard sports betting logic.
Critical Divergence Points:
Polymarket: Standard binary winner-take-all structure. Resolves to the winning team's name. Handles postponement by keeping market open; handles cancellation with 50-50 split. Includes shootout clarification (one goal added to winner's score for resolution purposes).
Kalshi: Dual Yes-resolution structure creates logical impossibility. Market states both Ufa victory and Avtomobilist victory resolve to Yes, which violates basic logic since exactly one team will win. No fallback rules provided for postponement or cancellation.
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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