This event group covers three linked prediction markets on the Liga MX soccer match between Atlético San Luis and CF Pachuca scheduled for March 14, 2026. Markets track whether San Luis wins, Pachuca wins, or the match ends in a draw, all resolved on the basis of the 90-minute regulation period plus stoppage time.
Cancellation handling differs across platforms. Kalshi implicitly assumes game completion; Polymarket explicitly handles cancellation with platform-specific outcomes (No for win markets, Yes for draw market).
Hero Tip:
Monitor Liga MX schedule for postponement or cancellation announcements. If cancellation occurs with no makeup, Polymarket draw market pays Yes while win markets pay No—creating a one-way arbitrage opportunity. Kalshi markets would require clarification from the platform on cancellation protocol.
Critical Divergence Points:
Polymarket: Three separate markets: San Luis win (Yes if San Luis wins, No otherwise or if canceled), Draw (Yes if draw or if canceled, No otherwise), Pachuca win (Yes if Pachuca wins, No otherwise or if canceled). All scope to 90 minutes plus stoppage time. Key Quote: If the game is canceled entirely, with no make-up game, this market will resolve Yes [for draw] or No [for win markets].
Kalshi: Three markets presented as mutually exclusive outcomes: Tie, Pachuca win, San Luis win. Each resolves to Yes if that outcome occurs. No explicit cancellation or postponement clause. Key Quote: If Tie wins... If Pachuca wins... If San Luis 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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