This event group covers the Danish Superliga match between FC København and FC Nordsjælland scheduled for February 14, 2026. Three related markets track the final outcome: whether Nordsjælland wins, whether København wins, or whether the match ends in a draw. All markets resolve based on the result after 90 minutes of regular play plus stoppage time, excluding extra time and penalties.
Polymarket explicitly defines cancellation behavior (draw market resolves Yes; win markets resolve No), while Kalshi omits cancellation guidance entirely. This creates a settlement risk if the match is canceled with no makeup game.
Hero Tip:
Assume normal match completion for trading purposes. If you hold positions and cancellation becomes likely, contact Kalshi support immediately to confirm their cancellation protocol. Polymarket traders holding the draw market should note it benefits from cancellation, while win markets do not.
Critical Divergence Points:
Polymarket:
Three separate markets with explicit cancellation rules. Draw market resolves Yes on cancellation; win markets resolve No. Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve "Yes"' (draw) or '"No"' (win markets). Postponement keeps markets open until completion.
Kalshi:
Three outcome markets (tie, Nordsjælland win, København win) all stated to resolve Yes if their condition is met, but no cancellation or postponement clause is provided. Quote: 'If [outcome], then the market resolves to Yes.' Silent on cancellation and postponement scenarios.
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.