This event group covers the outcome of a professional EFL Championship soccer match between Portsmouth FC and Sheffield United FC scheduled for February 14, 2026. Markets track whether Sheffield United wins, Portsmouth wins, or the match ends in a draw, with resolution based on the result after 90 minutes of regular play plus stoppage time.
Cancellation handling diverges between platforms. Polymarket explicitly resolves the draw market to Yes if the game is canceled with no makeup, while Kalshi's structure (three Yes-resolution markets covering all outcomes) creates ambiguity about which market resolves Yes in a cancellation scenario.
Hero Tip:
Monitor for any postponement or cancellation announcements. If the match is canceled with no makeup game, Polymarket traders should expect the draw market to resolve Yes, while Kalshi's resolution may require clarification from the platform. For normal match completion, both platforms align perfectly on the 90-minute + stoppage time window.
Critical Divergence Points:
Polymarket: Three separate binary markets: Sheffield United win (Yes/No), Portsmouth win (Yes/No), and draw (Yes/No). Explicitly states that if the game is canceled entirely with no makeup game, the draw market resolves Yes. Postponements keep markets open until completion.
Kalshi: Three markets all resolve to Yes under different conditions (Sheffield win, Portsmouth win, or tie). Does not explicitly address cancellation scenarios. The structure implies all three markets would resolve Yes if the match occurs, but cancellation handling is undefined.
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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