This event group covers the Euroleague basketball matchup between Saski Baskonia and Valencia Basket scheduled for February 26, 2026 at 2:30 PM EST. Markets resolve based on which team wins the game, with provisions for postponement or cancellation.
Kalshi market contains a logical contradiction: both possible game outcomes (Baskonia win and Valencia win) are mapped to the same resolution state (YES), making the market fundamentally unresolvable and creating data integrity failure.
Hero Tip:
Polymarket's binary winner-take-all structure is logically sound and should be treated as the authoritative settlement reference. Kalshi's market cannot be reliably settled without platform clarification or correction of the resolution rules. Avoid trading Kalshi until the contradiction is resolved.
Critical Divergence Points:
Polymarket: Binary winner-take-all market with clear mutually exclusive outcomes. Resolves to 'Saski Baskonia' if Baskonia wins; resolves to 'Valencia' if Valencia wins. Postponement keeps market open; cancellation without makeup resolves 50-50. Key quote: 'If the Saski Baskonia win, the market will resolve to Saski Baskonia. If the Valencia win, the market will resolve to Valencia.'
Kalshi: Defective dual-YES structure with logical contradiction. Both outcomes map to YES: 'If Baskonia wins...resolves to Yes' AND 'If Valencia wins...resolves to Yes'. No NO outcome is defined, making it impossible to distinguish winners or establish a false condition. Key quote: 'If Baskonia Vitoria-Gasteiz wins...resolves to Yes. If Valencia Basket wins...resolves to Yes.'
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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