This event group covers a professional Conference League soccer match between HNK Rijeka and AS Omónoia Leukosías scheduled for February 26, 2026. The markets assess three mutually exclusive outcomes: Rijeka win, Omonia win, or draw, all evaluated within 90 minutes of regular play plus stoppage time.
Polymarket and Kalshi diverge on cancellation handling. Polymarket's draw market resolves YES on cancellation, while win markets resolve NO. Kalshi does not explicitly address cancellation, creating ambiguity in edge-case resolution.
Hero Tip:
Traders should note that a game cancellation with no make-up will produce different outcomes across platforms: Polymarket draw backers win, Polymarket win backers lose, and Kalshi outcomes remain undefined. Request explicit cancellation guidance from Kalshi before the event date.
Critical Divergence Points:
Polymarket: Three separate binary markets with asymmetric cancellation logic. Rijeka win and Omonia win markets resolve NO on cancellation. Draw market resolves YES on cancellation. All markets remain open if game is postponed. Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve YES' (draw) vs 'this market will resolve NO' (win markets).
Kalshi: Three outcome-based markets (Tie, Omonia, Rijeka) presented as exhaustive alternatives with no explicit cancellation clause. Implies standard sports betting convention where cancellation voids all markets or triggers refund. Quote: 'If Tie wins... If Omonia Nicosia wins... If Rijeka wins...' with 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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