This event group covers a Colombian professional soccer match between Independiente Santa Fe and CDP Junior FC scheduled for February 22, 2026, in the Liga DIMAYOR. Markets across platforms are betting on the final outcome (win/draw/loss) measured at 90 minutes plus stoppage time, excluding extra time or penalties.
Polymarket and Kalshi diverge on the cancellation scenario. Polymarket's draw market resolves Yes if canceled (no makeup), while its win markets resolve No; Kalshi provides no explicit cancellation guidance, creating potential ambiguity in edge-case resolution.
Hero Tip:
Monitor official DIMAYOR communications for any postponement or cancellation announcements. If cancellation occurs, Polymarket traders should expect the draw market to resolve Yes and win markets to resolve No. Kalshi traders face resolution uncertainty and should seek platform clarification before the event date.
Critical Divergence Points:
Polymarket: Three separate binary markets: (1) Draw market resolves Yes if game ends in a draw OR is canceled with no makeup; (2) Santa Fe win market resolves Yes only if Santa Fe wins, No if canceled; (3) Junior win market resolves Yes only if Junior wins, No if canceled. This creates an internal logical split where cancellation triggers Yes for draw but No for both win markets.
Kalshi: Three outcome-specific markets (Santa Fe Win, Tie, Junior Win) each resolve Yes if their outcome occurs after 90 minutes plus stoppage time. No explicit cancellation clause is provided, leaving the resolution path undefined if the game is canceled with no makeup.
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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