This event group covers the professional Liga MX soccer match between Atlas FC and CD Guadalajara scheduled for March 7, 2026. The markets assess three mutually exclusive outcomes: Atlas FC victory, CD Guadalajara victory, or a draw. Resolution is based on the final score after 90 minutes of regular play plus stoppage time, excluding extra time and penalties.
Cancellation handling divergence between platforms. Polymarket explicitly resolves the draw market YES if game is canceled with no makeup, while win markets resolve NO. Kalshi provides no cancellation clause and implies all outcomes resolve YES, creating logical inconsistency.
Hero Tip:
Monitor Liga MX official sources for any cancellation or postponement announcements. If cancellation occurs with no makeup game, Polymarket draw backers win while win backers lose—a rare asymmetry. Kalshi's ambiguity on cancellation may require platform clarification before settlement.
Critical Divergence Points:
Polymarket:
Three separate binary markets: Atlas FC win (YES if Atlas wins, NO otherwise), Draw (YES if draw, NO otherwise), Guadalajara win (YES if Guadalajara wins, NO otherwise). Explicit cancellation clause: if game canceled with no makeup, draw market resolves YES and win markets resolve NO. Postponement keeps markets open. Scope: 90 minutes regular play plus stoppage time only.
Kalshi:
Single market with three resolution paths: all three outcomes (tie, Atlas win, Guadalajara win) resolve to YES. No explicit cancellation or postponement handling provided. Scope: 90 minutes regular play plus stoppage time only.
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.