This event group covers three interconnected prediction markets on the professional Liga MX soccer match between CF Pachuca and Atlas FC scheduled for February 14, 2026. The markets collectively capture all possible outcomes: a Pachuca win, an Atlas win, or a draw, each resolving based on the result after 90 minutes of regular play plus stoppage time.
Cancellation and postponement handling diverges between platforms. Kalshi provides no explicit guidance on game cancellation or postponement, while Polymarket specifies that postponed games remain open and canceled games (with no make-up) resolve differently depending on outcome type: No for win markets, Yes for draw market.
Hero Tip:
Monitor Liga MX official announcements for any postponement or cancellation notices. If the game is postponed, Polymarket markets will remain open pending completion, but Kalshi's behavior is undefined. If permanently canceled, Polymarket's draw market resolves Yes while win markets resolve No, creating a potential arbitrage or hedge opportunity depending on your position mix.
Critical Divergence Points:
Kalshi: Treats all three outcomes (Pachuca win, Atlas win, tie) as Yes-resolving events with no explicit cancellation or postponement clause. Resolution is binary: outcome occurs = Yes. No guidance on game postponement or cancellation scenarios.
Polymarket: Provides explicit handling: postponed games remain open until completion; canceled games with no make-up resolve No for Pachuca and Atlas win markets, but Yes for the draw market. This creates asymmetric payoff structure in cancellation scenarios.
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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