This event group covers the outcome of a professional EFL Championship soccer match between Derby County FC and Sheffield Wednesday FC scheduled for March 7, 2026. Markets across Polymarket and Kalshi assess whether Derby wins, Sheffield Wednesday wins, or the match ends in a draw, all measured at 90 minutes plus stoppage time (excluding extra time and penalties).
Polymarket and Kalshi diverge on how a canceled match (with no make-up game) resolves. Polymarket's draw market resolves YES on cancellation, while its win markets resolve NO. Kalshi provides no explicit cancellation clause for any outcome market.
Hero Tip:
Verify cancellation protocol with each platform before match day. On Polymarket, a cancellation creates a logical trap: the draw market wins while both win markets lose. On Kalshi, assume cancellation may void the market or require manual intervention. Consider this tail risk when sizing positions.
Critical Divergence Points:
Polymarket:
Three separate binary markets (Derby win, Sheffield Wednesday win, Draw). Draw market explicitly resolves YES if game is canceled with no make-up. Derby and Sheffield Wednesday win markets resolve NO on cancellation. All markets remain open if postponed until completion. Scope: 90 minutes plus stoppage time only.
Kalshi:
Three outcome-based markets (Derby win, Sheffield Wednesday win, Tie/Draw). Each market resolves YES if its specified outcome occurs after 90 minutes plus stoppage time. No explicit cancellation or postponement clause provided. Scope: 90 minutes plus stoppage time only, no extra time or penalties.
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.