This event group covers three linked prediction markets on the outcome of a professional international friendly soccer match between Ukraine and Albania scheduled for March 31, 2026. Markets track whether Ukraine wins, Albania wins, or the match ends in a draw, all measured at the conclusion of 90 minutes plus stoppage time (excluding extra time or penalties).
Polymarket explicitly defines cancellation resolution (No for win markets, Yes for draw market), while Kalshi does not address cancellation, creating settlement ambiguity if the match is canceled with no make-up game.
Hero Tip:
Traders should clarify cancellation handling with Kalshi support. If both platforms treat cancellation as market void, the divergence is eliminated. If Kalshi leaves canceled matches unresolved, this creates a settlement timing and payout mismatch.
Critical Divergence Points:
Polymarket: Three separate binary markets (Ukraine win Yes/No, Albania win Yes/No, draw Yes/No). Resolves to official FIFA statistics within 2 hours post-match. Explicit cancellation clause: Ukraine/Albania win markets resolve No; draw market resolves Yes if canceled with no make-up. Key Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve No' (win markets) and 'Yes' (draw market).
Kalshi: Three outcome markets (Albania wins, Ukraine wins, Tie) all resolve Yes if that outcome occurs. References professional Intl Friendlies soccer game, 90 minutes plus stoppage time. No explicit cancellation clause provided. Ambiguity: unclear whether canceled match remains open or resolves.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.