This event group covers a women's college basketball matchup between Drexel Dragons and St. Bonaventure Bonnies scheduled for March 19, 2026 at 6:00 PM ET. The markets track the outcome of this single game, with resolution based on the final score including overtime.
Kalshi's resolution logic is internally contradictory, stating both possible outcomes (Drexel win and St. Bonaventure win) resolve to Yes, which violates binary market semantics. Polymarket provides clear categorical resolution tied to the winner.
Hero Tip:
Do not trade Kalshi until the contract language is clarified. The stated logic makes the market unresolvable. Use Polymarket as your primary reference: the winner's name determines the resolution outcome. Confirm with Kalshi support whether this is a documentation error or if the market structure differs from standard binary design.
Critical Divergence Points:
Kalshi: Binary market with contradictory logic. Both Drexel win and St. Bonaventure win are stated to resolve to Yes. Quote: 'If Drexel wins...resolves to Yes. If St. Bonaventure wins...resolves to Yes.' This creates an unresolvable state.
Polymarket: Categorical winner-based resolution. Drexel win resolves to 'Drexel Dragons', St. Bonaventure win resolves to 'St. Bonaventure Bonnies'. Quote: 'If the Drexel Dragons win, the market will resolve to Drexel Dragons. If the St. Bonaventure Bonnies win, the market will resolve to St. Bonaventure Bonnies.' Clear, mutually exclusive outcomes.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.