Canisius Golden Griffins vs. Manhattan Jaspers (W)
Volume:
$16,481
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the women's college basketball game between Canisius Golden Griffins and Manhattan Jaspers scheduled for February 14, 2026 at 2:00 PM ET. The market resolves based on which team wins the game, with specific provisions for postponements and cancellations.
Kalshi's resolution logic contains a logical contradiction where both possible outcomes (Canisius win or Manhattan win) resolve to Yes, making the market unresolvable. Polymarket uses a winner-specific resolution format with clear cancellation provisions.
Hero Tip:
Do not trade on Kalshi until the resolution logic is corrected. The statement that both outcomes resolve to Yes is a data integrity failure. Polymarket's market is resolvable and should be the reference standard. Verify with Kalshi support whether they intended Canisius Yes vs No, or if this is a template error.
Critical Divergence Points:
Kalshi: Binary collapse error - both Canisius win and Manhattan win are stated to resolve to Yes. Quote: 'If Canisius wins...resolves to Yes. If Manhattan wins...resolves to Yes.' This is logically impossible and prevents settlement.
Polymarket: Winner-specific resolution with cancellation provision. Quote: 'If Canisius wins, resolves to Canisius Golden Griffins. If Manhattan wins, resolves to Manhattan Jaspers. If canceled with no makeup, resolves 50-50.' Clear and resolvable.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.