This event is for the WBB game between Rhode Island Rams and Alabama Crimson Tide on March 21 at 2:30 PM ET.
If the game is postponed, this market will remain open until the game has been completed.
If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Kalshi resolves YES for either team winning (logical contradiction making the market unresolvable), while Polymarket correctly resolves to the specific winner name. Kalshi's rules state both 'If Alabama wins...resolves to Yes' AND 'If Rhode Island wins...resolves to Yes', creating a market that resolves YES regardless of outcome.
Hero Tip:
Do not trade on Kalshi — this market has a data integrity failure and will resolve YES for any outcome, making it unhedgeable against Polymarket. Polymarket is the only reliable venue for this event, where YES resolves to 'Rhode Island Rams' and NO resolves to 'Alabama Crimson Tide'.
Critical Divergence Points:
Kalshi: Outlier: Contains a logical contradiction where both possible outcomes (Alabama win OR Rhode Island win) resolve to YES, making the market fundamentally unresolvable. Rules state 'If Alabama wins...resolves to Yes' and separately 'If Rhode Island wins...resolves to Yes', leaving no outcome path for a NO resolution.
Polymarket: Distinct stance: Resolves to the specific winner name — 'Rhode Island Rams' if Rhode Island wins, 'Alabama Crimson Tide' if Alabama wins. Includes explicit handling for postponement (market remains open) and cancellation (50-50 split). Resolution based on final score including overtime, per NCAA source.
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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