This event group covers Game 2 of the Timberwolves vs. Nuggets playoff series, scheduled for April 20, 2026 in Denver. The markets resolve based on the outcome of this single professional basketball game, with both a Denver win and a Minnesota win triggering a Yes resolution.
Unified Resolution Criteria (Consistent across platforms)
Both Kalshi and Polymarket resolve based on the outcome of the NBA game between Minnesota Timberwolves and Denver Nuggets scheduled for April 20, 2026, with each platform resolving to a single winner outcome.
Primary resolution logic:
Official NBA game result for Minnesota at Denver on April 20, 2026, including any overtime periods.
Core resolution logic:
Market resolves based on the final score of the Timberwolves vs. Nuggets game on April 20, 2026.
If Denver wins, Kalshi resolves YES and Polymarket resolves to Nuggets.
If Minnesota wins, Kalshi resolves YES and Polymarket resolves to Timberwolves.
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. Kalshi rules do not explicitly address postponement but would logically follow the same principle.
Game Cancellation: If the game is canceled entirely with no make-up game, Polymarket resolves 50-50. Kalshi rules do not explicitly address this scenario.
Timing:
Resolution occurs upon completion of the game and official announcement of the final score by the NBA, including any overtime periods played on April 20, 2026.
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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