This event group covers a Colombian Liga DIMAYOR professional soccer match between AD Cali and Independiente Santa Fe scheduled for March 18, 2026. Markets across Kalshi and Polymarket assess the final outcome (win, loss, or draw) based on the result after 90 minutes plus stoppage time, excluding extra time or penalties.
Cancellation handling differs between platforms. Kalshi resolves all outcome markets to Yes regardless of result, while Polymarket uses conditional logic: draw market Yes on cancellation, win markets No on cancellation.
Hero Tip:
Monitor DIMAYOR.com.co for any postponement or cancellation notices. If the match is canceled without a makeup date, Kalshi traders holding tie positions will see Yes resolution, while Polymarket traders holding win positions will see No resolution. Reconcile your hedge positions accordingly before the scheduled date.
Critical Divergence Points:
Kalshi: Three separate markets all resolve to Yes: Cali win resolves Yes, Tie resolves Yes, Santa Fe win resolves Yes. This creates a logical impossibility where all three mutually exclusive outcomes cannot simultaneously occur, suggesting Kalshi treats the market as a binary confirmation of match completion rather than outcome differentiation.
Polymarket: Three outcome-specific markets with conditional cancellation logic. Draw market: Yes if draw OR canceled (no makeup). Cali win market: Yes if Cali wins, No if canceled (no makeup). Santa Fe win market: Yes if Santa Fe wins, No if canceled (no makeup). This creates asymmetric cancellation treatment across the three markets.
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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