This event group covers the outcome of a professional Champions League soccer match between Sport Lisboa e Benfica and Real Madrid CF scheduled for February 17, 2026. Markets track three mutually exclusive outcomes: a Real Madrid win, a Benfica win, or a draw, all measured at 90 minutes plus stoppage time (regular play only).
Cancellation handling differs between platforms. Polymarket specifies explicit 'No' resolution for win markets and 'Yes' for draw on full cancellation; Kalshi provides no cancellation clause, creating ambiguity.
Hero Tip:
Monitor UEFA.com and official team sources for any cancellation announcements. If cancellation occurs, Polymarket traders should expect the draw market to resolve 'Yes' while win markets resolve 'No'. Kalshi traders should demand clarification from the platform before settlement. Cross-platform arbitrage risk exists if cancellation occurs.
Critical Divergence Points:
Polymarket: Three separate binary markets (Real Madrid Win, Benfica Win, Draw). Win markets resolve 'No' on full cancellation; draw market resolves 'Yes' on full cancellation. 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-based markets (Real Madrid wins, Tie, Benfica wins) presented as mutually exclusive. No explicit cancellation clause provided. All three outcomes are treated as discrete resolution paths with no fallback guidance.
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.