This event group covers a professional Serie B soccer match between SS Juve Stabia and UC Sampdoria scheduled for March 4, 2026. Three markets across Polymarket and Kalshi track the outcome: Stabia win, draw, and Sampdoria win, each resolving based on the result within 90 minutes plus stoppage time.
Polymarket's draw market has a contradictory cancellation clause (resolves YES) compared to its win markets (resolve NO), and Kalshi does not explicitly address cancellation or postponement scenarios.
Hero Tip:
Verify game completion before settlement. If the match is canceled with no reschedule, Polymarket traders face a logical inconsistency: the draw market YES and both win markets NO cannot all be correct simultaneously. Kalshi's three-outcome structure leaves cancellation handling ambiguous. Contact both platforms for clarification on their cancellation protocols.
Critical Divergence Points:
Polymarket: Three separate binary markets (Stabia win, Draw, Sampdoria win). Win markets resolve NO on cancellation; draw market resolves YES on cancellation. This creates a logical contradiction where all three outcomes cannot simultaneously resolve correctly if the game is canceled. Primary source is official Liga Serie B statistics or credible consensus within 2 hours of conclusion.
Kalshi: Single three-outcome market (Stabia win, Sampdoria win, Tie). Each outcome resolves YES if true after 90 minutes plus stoppage time. Cancellation and postponement behavior is not explicitly defined in the provided rules, creating ambiguity in edge-case resolution.
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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