This event group covers a UEFA Europa Conference League match between Crystal Palace FC (England) and AEK Lárnakas (Cyprus) scheduled for March 12, 2026. The markets track the final result after 90 minutes of regular play plus stoppage time, excluding extra time and penalties. Multiple prediction platforms have created overlapping markets on the three possible outcomes: Crystal Palace win, AEK Lárnakas win, or draw.
Cancellation resolution logic differs between platforms. Polymarket's draw market resolves Yes on cancellation, while win markets resolve No. Kalshi does not specify cancellation behavior.
Hero Tip:
Monitor for any UEFA postponement or cancellation announcements. If the match is canceled with no make-up game, Polymarket traders holding draw positions will profit while win positions lose. Kalshi's behavior in this scenario is undefined. Request clarification from Kalshi support before settlement if cancellation occurs.
Critical Divergence Points:
Polymarket: Three separate markets: AEK Lárnakas win (Yes if AEK wins, No otherwise; No if canceled), Draw (Yes if draw or canceled with no make-up, No otherwise), Crystal Palace win (Yes if Palace wins, No otherwise; No if canceled). Resolution source is official UEFA statistics or credible reporting consensus within 2 hours of match end.
Kalshi: Three separate markets: Tie (Yes if draw after 90+stoppage), Crystal Palace win (Yes if Palace wins after 90+stoppage), Larnaca win (Yes if Larnaca wins after 90+stoppage). No cancellation clause specified. All markets reference the same match and time window.
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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