This event group covers a professional K League 1 soccer match between Gangwon FC and FC Anyang scheduled for March 15, 2026. The markets assess the outcome (win/loss/draw) based on the result after 90 minutes of regular play plus stoppage time, excluding extra time and penalties.
Cancellation handling differs between platforms. Polymarket explicitly specifies draw resolves YES if game is canceled with no make-up, while Kalshi provides no cancellation clause, leaving ambiguity on how a canceled match would settle across its three binary outcomes.
Hero Tip:
Monitor for any postponement or cancellation announcements. If the game is canceled without rescheduling, Polymarket's draw market will resolve YES while Kalshi's resolution remains undefined. Consider this tail risk when sizing positions, especially if you are short the draw on Polymarket or long on Kalshi.
Critical Divergence Points:
Kalshi:
Three separate binary outcomes (Gangwon win, FC Anyang win, Tie) each resolve YES if their condition is met after 90 minutes plus stoppage time. No explicit cancellation or postponement clause provided. Key Quote: 'If Gangwon wins... then the market resolves to Yes' (and similarly for other outcomes).
Polymarket:
Three separate markets with explicit postponement and cancellation handling. Win/loss markets resolve NO if canceled with no make-up; draw market resolves YES if canceled with no make-up. Key Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve "No"' (win/loss) and 'this market will resolve "Yes"' (draw).
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.