This event group covers Game 2 of the Houston Rockets vs. Los Angeles Lakers playoff series scheduled for April 21, 2026. Markets resolve based on the official outcome of this single professional basketball game, with resolution triggered by either team's victory.
Unified Resolution Criteria (Consistent across platforms)
Both Kalshi and Polymarket resolve based on the outcome of the Game 2 Houston at Los Angeles Lakers NBA game scheduled for April 21, 2026, with identical binary logic: one team wins, that outcome is the resolution.
Primary resolution logic:
Official NBA final score for Game 2: Houston Rockets at Los Angeles Lakers, April 21, 2026
Core resolution logic:
Market resolves to the team that wins Game 2 based on final score including overtime.
If Rockets win, Kalshi resolves YES and Polymarket resolves Rockets.
If Lakers win, Kalshi resolves YES and Polymarket resolves Lakers.
Exactly one outcome will occur per game.
Edge cases & Clarifications:
Game Postponement: If the game is postponed, Polymarket remains open until completion. Kalshi rules do not explicitly address postponement but standard sports market practice is to resolve upon rescheduled game completion.
Game Cancellation: If the game is canceled with no make-up game, Polymarket resolves 50-50. Kalshi rules do not explicitly address cancellation; this represents a potential minor divergence in edge case handling.
Timing:
Resolution occurs upon official NBA announcement of the final score for Game 2 on April 21, 2026, or upon the rescheduled game date if postponed.
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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