This event group covers a Major League Soccer match between New England Revolution and CF Montréal scheduled for April 4, 2026. Markets track the outcome of the match during regular play (90 minutes plus stoppage time), with separate binary markets for each team's victory and a draw outcome.
Polymarket's draw market includes a cancellation resolution clause (resolves YES if game is canceled with no make-up), while Kalshi's markets resolve only on actual match completion. This creates a logical fork where the same cancellation event produces different outcomes across platforms.
Hero Tip:
Traders should recognize that Polymarket's draw market is effectively a bet on either a tie OR a cancellation, while Kalshi's draw market is purely a tie bet. If cancellation risk is material, Polymarket's draw YES becomes overvalued relative to Kalshi. Hedge accordingly or avoid cross-platform arbitrage on the draw outcome.
Critical Divergence Points:
Polymarket: Three separate binary markets: NE Revolution win, CF Montreal win, and Draw. All three markets remain open if postponed until completion. Critically, the draw market resolves YES if the game is canceled entirely with no make-up game. Resolution source is official MLS statistics or credible reporting consensus within 2 hours of conclusion.
Kalshi: Single catch-all market covering all three outcomes (Tie, New England win, Montreal win) with a single YES resolution for any completed match result. No explicit cancellation clause provided. Market resolves YES for any of the three outcomes after 90 minutes plus stoppage time.
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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