George Washington Revolutionaries vs. Rhode Island Rams (W)
Volume:
$9,545
Markets
Outcome
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24h
7d
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Description
This event group covers a women's college basketball game between George Washington Revolutionaries and Rhode Island Rams scheduled for February 28, 2026 at 2:30 PM ET. The markets resolve based on which team wins the game, with provisions for postponement, cancellation, and overtime.
Kalshi's market contains a logical contradiction where both possible game outcomes (George Washington win and Rhode Island win) resolve to the same value (Yes), making the market fundamentally unresolvable. Polymarket's market is logically sound with clear binary outcomes.
Hero Tip:
Trade only on Polymarket's version. Kalshi's market has a data integrity failure in its resolution logic - both teams winning results in Yes, which violates basic binary market design. This market cannot be reliably settled and poses significant counterparty risk.
Critical Divergence Points:
Polymarket: Binary winner-take-all structure with clear outcomes. George Washington win resolves to 'George Washington Revolutionaries', Rhode Island win resolves to 'Rhode Island Rams'. Includes edge case handling: postponement keeps market open, cancellation without makeup resolves 50-50, overtime included in final score. Source: NCAA.com.
Kalshi: Logical contradiction in resolution logic. Both 'If George Washington wins' and 'If Rhode Island wins' are stated to resolve to 'Yes', creating an impossible scenario where the market cannot distinguish between outcomes. This violates fundamental binary market design principles.
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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