This event group covers a Danish Superliga soccer match between FC Fredericia and Aarhus GF scheduled for February 15, 2026. Markets across Kalshi and Polymarket track the final outcome (win/loss/draw) based on the result after 90 minutes plus stoppage time, excluding extra time and penalties.
Kalshi omits explicit postponement and cancellation rules, while Polymarket specifies divergent outcomes for cancellation (Draw=Yes, Wins=No). This creates resolution ambiguity in edge cases.
Hero Tip:
Before February 15, 2026, confirm with Kalshi how postponement and cancellation are handled. If the match is canceled, Polymarket's Draw market will resolve Yes while Win markets resolve No—a logical impossibility. Consider this a platform-level risk and potentially avoid taking positions that depend on cancellation scenarios across both platforms simultaneously.
Critical Divergence Points:
Kalshi:
Three binary markets (Tie wins, Fredericia wins, Aarhus wins) each resolve Yes if their outcome occurs after 90 minutes plus stoppage time. No explicit guidance provided for postponement or cancellation scenarios. Key quote: 'after 90 minutes plus stoppage time (does not include extra time or penalties)'.
Polymarket:
Three separate markets (Draw, Aarhus Win, Fredericia Win) with explicit edge-case handling: postponed games remain open until completion; canceled games with no makeup resolve Draw=Yes and Win markets=No. Key quote: 'If the game is canceled entirely, with no make-up game, this market will resolve to "Yes"' (Draw) vs. 'this market will resolve "No"' (Win markets).
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.