This event group covers a Colombian Liga DIMAYOR soccer match between América de Cali and CA Bucaramanga scheduled for April 2, 2026. Three prediction markets track the outcome: whether América de Cali wins, whether the match ends in a draw, and whether Bucaramanga wins. All markets resolve based on the result within 90 minutes of regular play plus stoppage time, excluding extra time or penalties.
Market structure ambiguity on Kalshi (three separate binaries vs. single categorical market) and incomplete cancellation rule specification on Kalshi create potential settlement divergence.
Hero Tip:
Before trading, confirm with Kalshi whether their three outcomes are independent binary markets or a single mutually exclusive categorical market. If independent binaries, platforms are unified. If categorical, Kalshi traders face different payout mechanics. Also clarify Kalshi's cancellation resolution rule for the draw outcome to match Polymarket's explicit Yes resolution.
Critical Divergence Points:
Polymarket: Three separate binary markets (Win/Draw/Loss). Draw market uniquely resolves Yes if game is canceled with no makeup. Win/Loss markets resolve No if canceled. Primary source: official DIMAYOR statistics within 2 hours, or credible reporting consensus. Scope: 90 minutes plus stoppage time only.
Kalshi: Market structure presented as three mutually exclusive outcomes (America Cali wins / Tie / Bucaramanga wins), each resolving to Yes if true. No explicit cancellation rule provided. Scope: 90 minutes plus stoppage time only (does not include extra time or penalties).
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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