This event group covers a professional Euroleague basketball matchup between BC Dubai and Valencia Basket scheduled for April 17, 2026 at 2:00 PM EDT. The markets resolve based on which team wins the game, with specific provisions for postponements and cancellations.
Kalshi market contains a logical contradiction: it resolves YES for both possible outcomes (Valencia win OR Dubai win), making the market fundamentally unresolvable and creating a guaranteed arbitrage opportunity.
Hero Tip:
Do not trade the Kalshi market. The resolution logic states both outcomes resolve to YES, which is logically impossible for a binary event. On Polymarket, the market correctly resolves to either BC Dubai or Valencia based on the game result. Exploit this by betting YES on Polymarket if available, as Kalshi's contradiction suggests a drafting error that will likely be corrected or cause settlement disputes.
Critical Divergence Points:
Polymarket: Binary winner-take-all resolution: market resolves to BC Dubai if Dubai wins, resolves to Valencia if Valencia wins. Includes postponement (market stays open) and cancellation (50-50 split) clauses. Quote: 'If the BC Dubai win, the market will resolve to BC Dubai. If the Valencia win, the market will resolve to Valencia.'
Kalshi: Logically contradictory resolution: states market resolves YES if Valencia wins AND ALSO resolves YES if Dubai wins. This creates an impossible scenario where both outcomes trigger YES. Quote: 'If Valencia Basket wins...then the market resolves to Yes. If Dubai Basketball wins...then the market 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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