This event group covers the outcome of a women's college basketball game between VCU Rams and Duquesne Dukes scheduled for March 4, 2026 at 11:00 AM ET, played at Duquesne's venue. The markets predict which team will win the game based on the final score including overtime.
Kalshi collapses both outcomes to Yes (binary), while Polymarket uses categorical resolution (team names). Kalshi also omits explicit postponement and cancellation protocols.
Hero Tip:
Confirm Kalshi's market structure is intentional; the binary Yes-for-both design is atypical for sports matchups. Polymarket's categorical structure and explicit edge-case handling (postponement, cancellation) make it the more reliable reference. Do not assume payout equivalence across platforms.
Critical Divergence Points:
Kalshi: Binary resolution: both VCU win and Duquesne win resolve to Yes. No explicit guidance on postponement or cancellation. Quote: 'If Duquesne wins the VCU at Duquesne women's college basketball game originally scheduled for Mar 4, 2026, then the market resolves to Yes. If VCU wins...then the market resolves to Yes.'
Polymarket: Categorical resolution: VCU win resolves to VCU Rams, Duquesne win resolves to Duquesne Dukes. Postponement keeps market open; cancellation with no make-up resolves 50-50. Quote: 'If the VCU Rams win, the market will resolve to "VCU Rams". If the game is canceled entirely, with no make-up game, this market will resolve 50-50.'
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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