This event group covers a professional EFL Championship soccer match between Sheffield United FC and Hull City AFC scheduled for April 11, 2026. Three related markets track the possible outcomes: Sheffield United win, Hull City win, and a draw result, all measured within 90 minutes of regular play plus stoppage time.
Polymarket and Kalshi diverge on cancellation handling. Polymarket explicitly resolves the draw market to YES and win markets to NO if the game is canceled with no make-up. Kalshi provides no cancellation clause, leaving its resolution undefined in that scenario.
Hero Tip:
Traders should assume Polymarket's cancellation logic is binding for that platform. For Kalshi, seek official clarification on how a canceled match would resolve before April 11, 2026. In normal play scenarios (match completed), all platforms converge on the same outcome.
Critical Divergence Points:
Polymarket: Three separate markets: draw resolves YES on cancellation; Sheffield United win resolves NO on cancellation; Hull City win resolves NO on cancellation. Primary source is EFL.com official statistics or credible reporting consensus within 2 hours of match end. Key Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve to Yes' (draw) and 'this market will resolve No' (win markets).
Kalshi: Three outcome markets (Sheffield United win, Hull win, Tie) with no explicit cancellation or postponement clause. Resolution logic covers only the 90-minute plus stoppage time outcome on April 11, 2026. No fallback source or contingency is specified.
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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