Unified Resolution Criteria (Consistent across platforms)
Polymarket and Kalshi both resolve based on the official outcome of the Dortmund vs. Leverkusen Bundesliga match on April 11, 2026, after 90 minutes plus stoppage time, with identical handling of postponements and cancellations.
Primary resolution logic:
Official Bundesliga statistics and the governing body or event organizers' final match records
Core resolution logic:
Market resolves based on the result after 90 minutes of regular play plus stoppage time (no extra time or penalties).
Exactly one of three outcomes will occur: Dortmund win, Leverkusen win, or draw.
If the game is postponed, all markets remain open until the match is completed.
If the game is canceled with no make-up scheduled, Dortmund-win and Leverkusen-win markets resolve NO, and the draw market resolves YES.
Edge cases & Clarifications:
Game Postponement: If the match is postponed, all markets remain open and unresolved until the rescheduled game is completed.
Game Cancellation Without Makeup: If the game is canceled entirely with no make-up game scheduled, the draw market resolves YES and both win markets resolve NO.
Delayed Official Statistics: If official Bundesliga statistics are not published within 2 hours of match conclusion, resolution may use consensus of credible reporting sources.
Timing:
Resolution occurs upon official Bundesliga announcement of the final match result after 90 minutes plus stoppage time, or upon consensus reporting if official statistics are delayed beyond 2 hours post-match.
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.