This event is for the WBB game between Murray State Racers and Maryland Terrapins on March 20 at 3:00 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 outcome (Maryland wins OR Murray State wins), making the market logically contradictory and unresolvable. Polymarket correctly resolves to a specific winner (Murray State Racers or Maryland Terrapins), with a 50-50 cancellation clause. These are fundamentally incompatible resolution frameworks.
Hero Tip:
Do not trade on Kalshi — the market rules guarantee YES resolution regardless of game outcome, which violates basic market logic. Polymarket is the only tradeable venue for this event. If you hold Kalshi YES contracts, expect either a market cancellation or emergency settlement clarification from Kalshi.
Critical Divergence Points:
Kalshi: Outlier: Resolves YES if Maryland wins OR if Murray State wins — both outcomes trigger YES resolution, creating a logical contradiction. Key quote: 'If Maryland wins...then the market resolves to Yes. If Murray St. wins...then the market resolves to Yes.'
Polymarket: Distinct stance: Resolves to the actual winner name (Murray State Racers or Maryland Terrapins), with postponement held-open and cancellation resolved 50-50. Key quote: 'If the Murray State Racers win, the market will resolve to Murray State Racers. If the Maryland Terrapins win, the market will resolve to Maryland Terrapins.'
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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