This event group covers a Japan J1 League professional soccer match between FC Machida Zelvia and Kashima Antlers scheduled for March 18, 2026. Markets across Kalshi and Polymarket are tracking the final outcome (win/loss/draw) based on the result after 90 minutes of regular play plus stoppage time, excluding extra time and penalties.
Polymarket's draw market includes an explicit cancellation clause (resolves YES if game is canceled with no make-up), while Kalshi provides no cancellation guidance. Win/loss markets on Polymarket resolve NO on cancellation, creating asymmetric treatment across outcome types.
Hero Tip:
Monitor official J-League announcements for any postponement or cancellation notices. If cancellation occurs, Polymarket draw traders win automatically, but Kalshi resolution remains unclear. Request clarification from Kalshi support on their cancellation protocol before March 18, 2026.
Critical Divergence Points:
Polymarket:
Three separate binary markets (Machida win YES/NO, Kashima win YES/NO, Draw YES/NO). Draw market uniquely resolves YES if game is canceled entirely with no make-up. Win/loss markets resolve NO on cancellation. Primary source is official J-League statistics within 2 hours of conclusion, with credible reporting as fallback. Covers 90 minutes plus stoppage time only.
Kalshi:
Three markets structured as conditional YES outcomes: Kashima wins = YES, Machida wins = YES, Tie = YES. No explicit cancellation clause provided. All three outcomes treated symmetrically. Covers 90 minutes plus stoppage time only. No fallback source specified.
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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