This event group covers a Europa League match between FC Viktoria Plzeň (home) and Panathinaikós AO scheduled for February 26, 2026. Markets span match outcome (win/loss/draw) and total goals scored across both teams, with resolution based on 90 minutes plus stoppage time only.
Two distinct market dimensions: Polymarket resolves on match outcome (1X2), while Kalshi resolves on total goals thresholds. No logical contradiction, but they measure different aspects of the same game and require separate settlement workflows.
Hero Tip:
Treat Polymarket and Kalshi as independent market families. A single game result (e.g., 2-1 Plzeň) will resolve Polymarket Plzeň Win as Yes AND Kalshi >1.5 as Yes AND Kalshi >2.5 as Yes, but these are not hedges—they are orthogonal outcomes. Verify final score from UEFA.com and apply each platform's logic independently.
Critical Divergence Points:
Polymarket: Three binary outcome markets: (1) Plzeň Win, (2) Panathinaikós Win, (3) Draw. Resolution is mutually exclusive—exactly one resolves Yes. Postponement keeps market open; cancellation resolves to No (or Yes for draw market per terms). Key Quote: 'If FC Viktoria Plzeň wins, this market will resolve to Yes. Otherwise, this market will resolve to No.'
Kalshi: Four independent binary total goals markets at thresholds 1.5, 2.5, 3.5, 4.5. Multiple can resolve Yes simultaneously (e.g., if final score is 3-2, all four resolve Yes). No cancellation clause provided; assumes game completion. Key Quote: 'If Panathinaikos and Plzen collectively score more than X total goals... 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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