This event group covers a Danish Superliga match between FC Midtjylland and FC Nordsjælland scheduled for March 15, 2026. Three prediction markets track the three possible outcomes: Midtjylland win, draw, or Nordsjælland win. All markets resolve based on the result after 90 minutes plus stoppage time (regular play only).
The Polymarket draw market uniquely resolves to Yes if the game is canceled with no make-up, while Kalshi's tie market does not specify a cancellation clause. This creates a logical inconsistency in how the draw outcome is treated under cancellation scenarios.
Hero Tip:
If you are trading the draw outcome across both platforms, note that Polymarket's draw market benefits from cancellation (resolves Yes), while Kalshi's tie market likely resolves No under cancellation (standard market behavior). Hedge accordingly if cancellation risk is material.
Critical Divergence Points:
Polymarket: Three separate binary markets: Midtjylland win (Yes/No), Draw (Yes/No), Nordsjælland win (Yes/No). All resolve on 90+stoppage minutes. Unique clause: Draw market resolves Yes if game is canceled with no make-up. Win markets resolve No on cancellation. Primary source: official Superligaen.dk statistics or credible consensus if not published within 2 hours.
Kalshi: Three markets covering all outcomes (Tie, Midtjylland win, Nordsjaelland win) after 90 minutes plus stoppage time. All three markets resolve Yes if their respective outcome occurs. No explicit cancellation clause provided; standard market behavior implies cancellation resolves No for all three.
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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