This event group covers a professional CONMEBOL Libertadores soccer match between Club Universitario de Deportes and CD Coquimbo Unido scheduled for April 14, 2026. Markets across Kalshi and Polymarket 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. Kalshi provides no explicit cancellation clause, while Polymarket's draw market resolves Yes on cancellation (with no make-up), whereas win markets resolve No.
Hero Tip:
Monitor CONMEBOL Libertadores official channels for any postponement or cancellation notices. If the match is canceled with no rescheduled date, expect Polymarket's draw market to resolve Yes while win markets resolve No. Kalshi's resolution path in a cancellation scenario is undefined and should be clarified with support.
Critical Divergence Points:
Polymarket:
Three separate binary markets: Universitario win (Yes if Universitario wins, No otherwise or if canceled with no make-up), Draw (Yes if draw or if canceled with no make-up, No otherwise), Coquimbo win (Yes if Coquimbo wins, No otherwise or if canceled with no make-up). All reference 90 minutes plus stoppage time. Primary source is official CONMEBOL statistics or credible consensus if not published within 2 hours.
Kalshi:
Single three-outcome market: all three outcomes (Universitario win, Coquimbo win, Tie) resolve to Yes if the match occurs as scheduled after 90 minutes plus stoppage time. No explicit cancellation or postponement clause provided.
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.