This event group covers a La Liga soccer match between Levante UD and Deportivo Alavés scheduled for February 27, 2026. Markets track three mutually exclusive outcomes: Levante win, Alavés win, or draw, all determined by the result after 90 minutes plus stoppage time.
Polymarket explicitly resolves the draw market to Yes if the game is canceled with no make-up game, while Kalshi provides no cancellation guidance and implies resolution only occurs if the specified outcome occurs after 90 minutes plus stoppage time.
Hero Tip:
Monitor La Liga's official schedule for any cancellation announcements. If cancellation occurs, Polymarket draw bettors will receive Yes resolution, but Kalshi traders face uncertainty. Request clarification from Kalshi support on their cancellation protocol before the match date.
Critical Divergence Points:
Polymarket: Three separate binary markets: Alavés Win (Yes/No), Levante Win (Yes/No), Draw (Yes/No). All reference 90 minutes plus stoppage time. Postponement keeps markets open; cancellation with no make-up resolves draw market to Yes and win markets to No. Key Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve "Yes"' (draw) or 'No' (win markets).
Kalshi: Three outcome-based markets: Tie, Levante Win, Alavés Win. All reference 90 minutes plus stoppage time. No explicit cancellation or postponement clause provided. Implies resolution occurs only if the specified outcome occurs. Key Quote: 'If Tie wins... then the market resolves to Yes' (outcome-dependent, no contingency language).
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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