This market resolves based on the outcome of the Euroleague basketball game between Hapoel Tel Aviv and Olympiacos B.C., scheduled for April 9 at 12:30 PM ET. The winner of the game determines the market resolution, with provisions for postponement (market remains open) and cancellation without makeup (50-50 split).
Kalshi's market resolves YES for both possible game outcomes (Hapoel Tel Aviv win OR Olympiacos win), creating a logical contradiction that makes the market fundamentally unresolvable. Polymarket correctly resolves to one team or the other based on the actual game result.
Hero Tip:
Do not trade on Kalshi's version of this market. The resolution rules state YES for both teams winning, which is logically impossible. Polymarket's market is the only tradeable version with coherent resolution logic.
Critical Divergence Points:
Polymarket: Outlier: Polymarket uses standard binary sports resolution where the market resolves to the winning team's name (either 'Hapoel Tel Aviv' or 'Olympiacos B.C.'), with postponement keeping the market open and cancellation resolving 50-50. Key quote: 'If the Hapoel Tel Aviv win, the market will resolve to Hapoel Tel Aviv. If the Olympiacos B.C. win, the market will resolve to Olympiacos B.C.'.
Kalshi: Outlier: Kalshi's market contains a critical logical error where both possible game outcomes (Hapoel Tel Aviv wins OR Olympiacos wins) are stated to resolve to YES, making the market unresolvable. Key quote: 'If Hapoel Tel-Aviv wins...then the market resolves to Yes. If BC Olympiakos Piraeus 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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