This event group covers a Bundesliga match between Hamburger SV and 1. FC Köln scheduled for March 14, 2026. Markets are offered on Kalshi and Polymarket, with overlapping coverage of match outcomes (Hamburg win, Köln win, draw) evaluated over 90 minutes plus stoppage time.
Kalshi markets contain a fundamental logical contradiction where all three mutually exclusive outcomes (Hamburg win, Köln win, draw) are specified to resolve to Yes. This makes the Kalshi markets unresolvable and creates a data integrity failure.
Hero Tip:
Avoid Kalshi markets entirely for this event group. They cannot be settled consistently. Use only Polymarket markets, which employ standard binary resolution: Hamburg win market resolves Yes if Hamburg wins and No otherwise; Köln win market resolves Yes if Köln wins and No otherwise; Draw market resolves Yes if match ends in a draw and No otherwise.
Critical Divergence Points:
Kalshi: All three outcome markets (Hamburg win, Tie, Köln win) are specified to resolve to Yes. This is logically impossible since only one outcome can occur. The market structure violates basic resolution logic.
Polymarket: Three separate binary markets with mutually exclusive outcomes. Hamburg win market: Yes if Hamburg wins, No otherwise. Köln win market: Yes if Köln wins, No otherwise. Draw market: Yes if draw, No otherwise. Includes postponement handling (remains open) and cancellation handling (resolves No for win markets, Yes for draw market). Primary source is official Bundesliga statistics within 2 hours of conclusion.
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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