This event group covers a professional Serie B soccer match between SS Juve Stabia and Modena FC 2018 scheduled for February 22, 2026. Three markets track the possible outcomes: Stabia win, Modena win, and draw. Resolution is based on the result after 90 minutes of regular play plus stoppage time, excluding extra time and penalties.
Polymarket and Kalshi diverge on cancellation resolution logic. Polymarket's draw market resolves YES on cancellation, while its win markets resolve NO. Kalshi provides no explicit cancellation clause, leaving that edge case ambiguous.
Hero Tip:
If the game is canceled without a makeup, Polymarket traders holding the draw market win while win-market holders lose. Kalshi's cancellation behavior is undefined—request clarification from the platform before the event date. Do not assume cancellation parity across platforms.
Critical Divergence Points:
Polymarket: Three separate binary markets with asymmetric cancellation rules. Modena win and Stabia win markets resolve NO on cancellation; draw market resolves YES on cancellation. Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve to Yes' (draw) and 'this market will resolve to No' (win markets).
Kalshi: Single unified three-outcome market (Stabia win, Modena win, Tie). No explicit cancellation clause provided in source data. Quote: 'If Tie wins the Stabia vs Modena professional Serie B soccer game originally scheduled for Feb 22, 2026 after 90 minutes plus stoppage time, then the market resolves to Yes.'
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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