This event group covers the Liga MX soccer match between Querétaro FC and CF América scheduled for March 7-8, 2026. Markets across Polymarket and Kalshi predict the outcome (win/loss/draw) within 90 minutes of regular play plus stoppage time, excluding extra time and penalties.
Date discrepancy (March 7 vs March 8, 2026) and market structure interpretation differ between platforms. Cancellation logic for draw/tie markets also diverges in practical application.
Hero Tip:
Confirm the official Liga MX match date from ligamx.net before trading. If March 8 is correct, Polymarket is authoritative. If March 7 is correct, Kalshi is authoritative. Monitor both platforms for date updates. The draw/tie cancellation resolution (YES vs NO) is consistent in intent but verify Kalshi's market structure to ensure the three outcomes are mutually exclusive.
Critical Divergence Points:
Polymarket: Three separate binary markets: América win (YES/NO), Querétaro win (YES/NO), Draw (YES/NO). Match scheduled March 8, 2026. Cancellation with no make-up resolves win markets to NO and draw market to YES. Key Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve No' (for wins) and 'resolve Yes' (for draw).
Kalshi: Three separate markets, each resolving YES if their outcome occurs (Querétaro win, América win, or Tie). Match scheduled March 7, 2026. No explicit cancellation clause provided. Key Quote: 'If Queretaro wins... then the market resolves to Yes. If America wins... then the market resolves to Yes. If Tie wins... then the market resolves to Yes.'
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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