A professional soccer match between Universidad Central de Venezuela FC and Club Libertad scheduled for April 9, 2026, as part of the CONMEBOL Libertadores competition. Markets across Polymarket and Kalshi are betting on the outcome (win/loss/draw) after 90 minutes of regular play plus stoppage time.
Market structure differs between platforms (Polymarket uses mutually exclusive binaries; Kalshi uses independent Yes/No markets), and cancellation resolution for draw outcomes is unspecified on Kalshi.
Hero Tip:
Both platforms resolve based on the same match outcome after 90 minutes plus stoppage time. The primary risk is Polymarket's draw market resolving Yes on cancellation while win markets resolve No—a scenario Kalshi does not address. Confirm with event organizers whether a canceled match with no makeup counts as a draw or a no-contest. Use CONMEBOL Libertadores official statistics as the tiebreaker if credible reporting diverges within the 2-hour window.
Critical Divergence Points:
Polymarket:
Three separate binary markets (UCV win, Libertad win, draw). Mutually exclusive outcomes. Draw market uniquely resolves Yes if game is canceled with no makeup. Win markets resolve No on cancellation. Resolution source: official CONMEBOL statistics or credible consensus within 2 hours of match end.
Kalshi:
Three independent Yes/No markets (UCV win, Libertad win, Tie). Each resolves Yes for its respective outcome. No explicit cancellation clause provided for any market. Resolution source: professional CONMEBOL Libertadores match result after 90 minutes plus stoppage time.
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.