This event group covers the outcome of a Major League Soccer (MLS) match between New York Red Bulls and CF Montréal scheduled for March 8, 2026. Three related markets track whether New York wins, Montréal wins, or the match ends in a draw, all measured at the conclusion of 90 minutes plus stoppage time (regular play only).
Cancellation handling diverges between platforms. Polymarket's draw market resolves YES on cancellation with no makeup game, while Polymarket's win markets resolve NO, and Kalshi markets lack explicit cancellation guidance.
Hero Tip:
Verify cancellation protocol with both platforms before the match date. If cancellation occurs, Polymarket draw traders will receive YES while win traders receive NO—creating potential settlement disputes. Kalshi's silence on cancellation may trigger manual review or market suspension.
Critical Divergence Points:
Polymarket: Three separate binary markets: (1) New York Red Bulls win resolves YES if NYRB wins in 90+stoppage, NO otherwise or if canceled; (2) CF Montréal win resolves YES if Montréal wins in 90+stoppage, NO otherwise or if canceled; (3) Draw resolves YES if match ends level in 90+stoppage OR if game is canceled with no makeup, NO otherwise. Postponement keeps markets open until completion.
Kalshi: Three binary markets presented as: (1) Tie wins, (2) Montreal wins, (3) New York wins—all measured at 90+stoppage time. No explicit cancellation or postponement language provided. All three outcomes appear mutually exclusive and collectively exhaustive for a completed match, but edge case handling is undefined.
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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