This event group covers a Colombian Liga DIMAYOR soccer match between AD Cali and Once Caldas scheduled for March 6, 2026. Markets are offered across Polymarket and Kalshi, with Polymarket providing three binary outcomes (Cali win, draw, Once Caldas win) and Kalshi offering a single catch-all market covering all three outcomes.
Market structure incompatibility between platforms. Polymarket uses three separate binary markets with conflicting cancellation logic on the draw market, while Kalshi uses a single tautological ternary market that resolves Yes for any match outcome.
Hero Tip:
Do not attempt cross-platform hedging. On Polymarket, the draw market's Yes resolution on cancellation creates asymmetric risk versus the win markets (which resolve No on cancellation). On Kalshi, the market is effectively a bet on whether the game occurs, not on the outcome itself. Monitor official DIMAYOR sources for postponement or cancellation announcements.
Critical Divergence Points:
Polymarket: Three independent binary markets covering all outcomes. Cali win and Once Caldas win markets resolve No on cancellation. Draw market uniquely resolves Yes on cancellation with no make-up game. All reference official DIMAYOR statistics or credible consensus within 2 hours post-match. Scope: 90 minutes plus stoppage time only.
Kalshi: Single market that resolves Yes if Cali wins, Tie occurs, or Once Caldas wins. Implicitly resolves No only if game is canceled or postponed indefinitely. Scope: 90 minutes plus stoppage time only (no 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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