This event is for the WBB game between Valparaiso Beacons and Drake Bulldogs on February 19 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.
Polymarket resolves to a single winner (Valparaiso or Drake), while Kalshi resolves to YES for either outcome, creating a logical contradiction where Kalshi's market cannot fail to resolve YES regardless of the game result.
Hero Tip:
Do not trade these markets as equivalent. Polymarket is a standard winner-take-all binary; Kalshi's market structure appears malformed—it resolves YES whether Drake wins OR Valparaiso wins, meaning there is no NO outcome. Clarify Kalshi's actual resolution rule before placing trades.
Critical Divergence Points:
Polymarket: Outlier: Polymarket resolves to exactly one named winner. If Valparaiso wins, market resolves to 'Valparaiso Beacons'; if Drake wins, market resolves to 'Drake Bulldogs'. Only one outcome can occur per game. Key quote: 'If the Valparaiso Beacons win, the market will resolve to Valparaiso Beacons. If the Drake Bulldogs win, the market will resolve to Drake Bulldogs.'
Kalshi: Outlier: Kalshi's resolution rule states the market resolves YES if Drake wins AND resolves YES if Valparaiso wins, leaving no scenario for a NO resolution. This creates a tautology where the market must resolve YES regardless of outcome. Key quote: 'If Drake wins...then the market resolves to Yes. If Valparaiso wins...then the market resolves to Yes.'
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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