This event group covers the outcome of a professional Australia A-League soccer match between Sydney FC and Melbourne City FC scheduled for March 17, 2026. The markets track three mutually exclusive outcomes: Sydney FC win, Melbourne City FC win, or a draw, all measured at the conclusion of 90 minutes of regular play plus stoppage time (excluding extra time or penalties).
Cancellation handling divergence between platforms. Polymarket applies asymmetric resolution (draw=Yes, wins=No) if game is canceled with no make-up; Kalshi provides no explicit cancellation clause and appears to resolve all outcomes to Yes by default logic.
Hero Tip:
Monitor A-League.com.au for cancellation notices. If the match is canceled with no rescheduled date, Polymarket traders holding draw positions will profit (Yes) while win position holders lose (No). Kalshi's cancellation behavior is ambiguous; contact support for clarification before the event date.
Critical Divergence Points:
Polymarket: Three separate markets with asymmetric cancellation logic. Sydney FC Win and Melbourne City Win resolve No if canceled with no make-up. Draw resolves Yes if canceled with no make-up. All three reference 90 minutes plus stoppage time only. Primary source is official A-League statistics or credible reporting consensus within 2 hours of conclusion.
Kalshi: Single unified market covering all three outcomes (Win/Loss/Draw). All outcomes resolve Yes regardless of result. No explicit cancellation clause provided. References 90 minutes plus stoppage time only, excluding extra time and penalties.
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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