This event group covers the SHL (Swedish Hockey League) match between Leksands IF and HV 71 scheduled for March 22, 2026. Markets resolve based on the final winner of the game, including overtime and shootout outcomes. Both platforms offer binary win/loss resolution with consistent handling of postponements and cancellations.
Kalshi's resolution logic contains a logical contradiction: both mutually exclusive outcomes (Leksands IF win and HV71 win) are stated to resolve to Yes, making the market fundamentally unresolvable as written. Polymarket's binary winner-based resolution is logically sound.
Hero Tip:
Avoid trading on Kalshi until the platform clarifies whether the second condition should resolve to No, or if the market is actually a Yes/No on game completion rather than winner determination. Polymarket is the safer venue with clear, mutually exclusive resolution paths.
Critical Divergence Points:
Polymarket: Binary winner resolution with mutually exclusive outcomes. Resolves to "Leksands IF" if Leksands IF wins; resolves to "HV 71" if HV 71 wins. Postponements keep market open; full cancellations resolve 50-50. Key quote: 'If Leksands IF win, the market will resolve to Leksands IF. If HV 71 win, the market will resolve to HV 71.'
Kalshi: Logically contradictory resolution structure. States both 'If Leksands IF wins... resolves to Yes' and 'If HV71 wins... resolves to Yes', creating an impossible scenario where two mutually exclusive outcomes both map to Yes. Key quote: 'If Leksands IF wins... resolves to Yes. If HV71 wins... resolves to Yes.'
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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