This event group covers total goals Over/Under markets and a Both Teams to Score market for the Bundesliga match between FC St. Pauli 1910 and SV Werder Bremen scheduled for February 22, 2026. Markets track combined goal totals at thresholds of 1.5, 2.5, 3.5, and 4.5 goals, plus whether both teams score at least one goal each.
Threshold language divergence between platforms. Kalshi uses 'more than X.5' phrasing while Polymarket uses absolute goal counts (2, 3, 4, 5), but both resolve to identical outcomes for the same final score when properly mapped.
Hero Tip:
Map Kalshi thresholds to Polymarket equivalents: Kalshi >1.5 = Polymarket 2+; Kalshi >2.5 = Polymarket 3+; Kalshi >3.5 = Polymarket 4+; Kalshi >4.5 = Polymarket 5+. Confirm final score from Bundesliga.com. No trading risk if you understand the mapping, but document it to avoid settlement disputes.
Critical Divergence Points:
Kalshi:
Four markets using 'more than X.5' thresholds (1.5, 2.5, 3.5, 4.5). Resolves Yes if combined goals exceed the stated threshold. Example: >1.5 means Yes at 2 or more goals. Quote: 'If Bremen and St. Pauli collectively score more than 1.5 total goals...then the market resolves to Yes.'
Polymarket:
Four O/U markets with absolute goal counts (2, 3, 4, 5). Resolves Over if combined goals meet or exceed the stated count. Example: O/U 1.5 resolves Over at 2+ goals. Quote: 'This market will resolve to Over if FC St. Pauli 1910 and SV Werder Bremen combine to score 2 or more goals in this game.' Also includes Both Teams to Score market (Yes if each team scores 1+).
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.