This event group covers a Liga MX professional soccer match between Atlético San Luis and Club León FC scheduled for March 21, 2026. Markets span multiple outcome types: total goals scored (over/under thresholds), match result (win/loss/draw), and cancellation scenarios.
Cancellation and postponement handling differs between platforms. Polymarket explicitly addresses these scenarios (draw resolves YES on cancellation; win markets resolve NO; postponement keeps markets open), while Kalshi total goals markets contain no cancellation or postponement language, creating resolution ambiguity.
Hero Tip:
Before March 21, 2026, confirm with Kalshi whether postponed or canceled matches trigger auto-resolution or market suspension. The Polymarket draw market's YES resolution on cancellation is a one-way bet; if canceled, buy draw. Conversely, if you believe the match will be completed, Kalshi total goals markets may offer better odds since they lack cancellation hedges.
Critical Divergence Points:
Polymarket: Three distinct markets (draw, San Luis win, León win) all reference 90 minutes plus stoppage time. Draw market resolves YES if game is canceled with no makeup; win markets resolve NO if canceled. Postponement keeps all markets open. Primary source: official Liga MX statistics or credible consensus within 2 hours of conclusion.
Kalshi: Four total goals markets (over 1.5, 2.5, 3.5, 4.5) all reference 90 minutes plus stoppage time. No explicit language on cancellation, postponement, or makeup games. Resolution criteria depend solely on aggregate goals scored.
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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