This event group covers the Bundesliga match between RB Leipzig and FC Augsburg scheduled for March 7, 2026. Three related markets track the outcome: whether the match ends in a draw, whether Leipzig wins, and whether Augsburg wins. All markets resolve based on the result after 90 minutes of regular play plus stoppage time.
Polymarket's cancellation logic is internally contradictory: the draw market resolves YES on cancellation while the win markets resolve NO. Kalshi provides no cancellation guidance at all, leaving the fate of all three markets undefined if the game is canceled with no make-up.
Hero Tip:
This divergence creates settlement risk. If the game is canceled, Polymarket traders face a logical trap where the draw market and win markets cannot all resolve consistently. Kalshi traders face complete ambiguity. Seek explicit cancellation rules from both platforms before trading, and consider avoiding these markets until clarification is provided.
Critical Divergence Points:
Polymarket: Provides explicit but contradictory cancellation logic. Draw market: 'If the game is canceled entirely, with no make-up game, this market will resolve to Yes.' Win markets: 'If the game is canceled entirely, with no make-up game, this market will resolve No.' This creates a logical impossibility where all three outcome markets cannot resolve consistently.
Kalshi: Provides no cancellation clause. Markets state 'If [outcome] wins... then the market resolves to Yes' but do not address postponement or cancellation scenarios. This leaves the resolution path undefined if the game is canceled or indefinitely postponed.
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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