Polymarket defines three mutually exclusive binary markets (Cincinnati win, draw, Montreal win) where exactly one resolves YES, while Kalshi defines three separate YES/NO markets that can all resolve YES simultaneously if the underlying event produces a single outcome. This creates a fundamental logical contradiction in how the group resolves.
Hero Tip:
On Polymarket, exactly one of the three markets will resolve YES. On Kalshi, exactly one of the three markets will also resolve YES, but the market structures are incompatible: Polymarket's draw market resolves YES on cancellation with no makeup, while Kalshi's draw market does not address cancellation. If the game is canceled, Polymarket traders face a different resolution than Kalshi traders. Avoid cross-platform hedging on this group.
Critical Divergence Points:
Polymarket:
Outlier: Polymarket structures the group as three mutually exclusive binary markets where exactly one resolves YES based on the 90-minute match outcome. Critically, the draw market resolves YES if the game is canceled with no makeup: 'If the game is canceled entirely, with no make-up game, this market will resolve to Yes.' Cincinnati and Montreal win markets resolve NO on cancellation.
Kalshi:
Outlier: Kalshi structures the group as three independent YES/NO markets, each asking 'If [outcome] occurs, does this market resolve YES?' All three markets reference the same 90-minute match outcome, but Kalshi provides no explicit cancellation clause for any market, creating ambiguity on how cancellation is handled compared to Polymarket's draw-resolves-YES rule.
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.