This event group covers Game 2 of a professional basketball matchup between the Toronto Raptors and Cleveland Cavaliers, originally scheduled for April 20, 2026. The markets resolve based on the outcome of this single game, with both a Raptors victory and a Cavaliers victory triggering a Yes resolution.
Unified Resolution Criteria (Consistent across platforms)
Both Kalshi and Polymarket resolve based on the outcome of the Game 2 NBA match between Toronto Raptors and Cleveland Cavaliers on April 20, 2026, with identical binary logic: one team wins, that outcome is the resolution.
Primary resolution logic:
Official NBA final score for Game 2: Toronto at Cleveland, April 20, 2026
Core resolution logic:
Market resolves based on the final score of the Game 2 professional basketball game between Toronto Raptors and Cleveland Cavaliers scheduled for April 20, 2026.
If Cleveland wins, Kalshi resolves YES and Polymarket resolves to Cavaliers.
If Toronto wins, Kalshi resolves YES and Polymarket resolves to Raptors.
The result is determined by the final score including any overtime periods.
Edge cases & Clarifications:
Game Postponement: If the game is postponed, Polymarket will remain open until the game is completed. Both platforms will resolve based on the rescheduled game result.
Game Cancellation: If the game is canceled entirely with no make-up game, Polymarket resolves 50-50. Kalshi resolution in this scenario is not explicitly specified in provided rules.
Timing:
Resolution occurs upon official announcement of the final NBA game score, including overtime if applicable.
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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