This event group covers a professional Euroleague basketball game between ASVEL Lyon-Villeurbanne and Maccabi Tel Aviv scheduled for March 20, 2026 at 3:45 PM EDT. Markets on Kalshi and Polymarket are tracking the outcome of this single match, with different resolution mechanics across platforms.
Kalshi's resolution criteria contain a logical contradiction: both possible game outcomes (ASVEL win or Maccabi win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable. Polymarket uses standard winner-selection resolution with explicit edge-case handling.
Hero Tip:
Do not trade on Kalshi until the platform clarifies whether the Yes resolution applies only to one team or if this is a data entry error. Polymarket's market is resolvable as written. Verify with Kalshi support that the intended logic matches Polymarket (i.e., one outcome per team, or a different market structure entirely).
Critical Divergence Points:
Kalshi: Both ASVEL win and Maccabi win resolve to Yes. This creates a tautology: the market always resolves Yes regardless of outcome. Key Quote: 'If ASVEL Lyon-Villeurbanne wins... resolves to Yes' and 'If Maccabi Tel-Aviv wins... resolves to Yes.'
Polymarket: Resolves to the name of the winning team (ASVEL Lyon-Villeurbanne or Maccabi Tel Aviv). Postponements keep market open; cancellations without makeup resolve 50-50. Key Quote: 'If the ASVEL Lyon-Villeurbanne win, the market will resolve to ASVEL Lyon-Villeurbanne. If the Maccabi Tel Aviv win, the market will resolve to Maccabi Tel Aviv.'
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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