Polymarket settles on match outcome (win/draw/loss) within 90 minutes plus stoppage time, while Kalshi settles on total goals scored by both teams combined. These are fundamentally different resolution dimensions: Polymarket determines WHO wins, Kalshi determines HOW MANY goals are scored.
Hero Tip:
If you trade on Polymarket, you are betting on the match result (Freiburg win, draw, or Genk win). If you trade on Kalshi, you are betting on goal totals (over/under 1.5, 2.5, 3.5, or 4.5 combined goals). A Freiburg 1-0 win resolves YES on Polymarket's Freiburg win market but NO on Kalshi's 4.5 and 3.5 goal markets. These outcomes are independent — do not assume correlation.
Critical Divergence Points:
Polymarket: Distinct stance: Polymarket resolves on match outcome (win/draw/loss for either team) within 90 minutes plus stoppage time. Three separate binary markets determine the winner. Key quote: 'If SC Freiburg wins, this market will resolve to Yes. Otherwise, this market will resolve to No.' and 'If the game is canceled entirely, with no make-up game, this market will resolve No' (for win/loss markets) or 'Yes' (for draw market).
Kalshi: Distinct stance: Kalshi resolves on total goals scored by both teams combined (four separate over/under thresholds: 4.5, 3.5, 2.5, 1.5 goals). No market on match outcome. Key quote: 'If Genk and Freiburg collectively score more than [threshold] total goals in the Genk at Freiburg professional Europa League soccer game originally scheduled for Mar 19, 2026 after 90 minutes plus stoppage time, then the market resolves to Yes.'
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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