California-San Diego Tritons vs. Cal State Fullerton Titans
Volume:
$691,030
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between UC San Diego Tritons and Cal State Fullerton Titans scheduled for March 5, 2026 at 10:00 PM ET. Markets cover moneyline (winner), point spreads at -2.5 and -3.5, and over/under totals at 155.5, 156.5, and 157.5 points.
Kalshi moneyline market has contradictory resolution logic where both possible game outcomes (UC San Diego win or Cal State Fullerton win) are stated to resolve to Yes, which is logically impossible in a binary Yes/No market structure.
Hero Tip:
Do not trade the Kalshi moneyline market as stated - it cannot be resolved consistently. Use Polymarket's categorical moneyline (resolves to winner name) as the reliable reference. Spread and total markets on both platforms use consistent threshold-based logic and should resolve identically.
Critical Divergence Points:
Kalshi: Moneyline uses binary Yes/No framework with contradictory logic: both UC San Diego winning and Cal State Fullerton winning are stated to resolve to Yes. Quote: 'If UC San Diego wins...resolves to Yes' AND 'If Cal State Fullerton wins...resolves to Yes'.
Polymarket: Moneyline uses categorical outcome framework with mutually exclusive resolution: UC San Diego win resolves to 'California-San Diego Tritons', Cal State Fullerton win resolves to 'Cal State Fullerton Titans'. Quote: 'If the California-San Diego Tritons win, the market will resolve to California-San Diego Tritons. If the Cal State Fullerton Titans win, the market will resolve to Cal State Fullerton Titans.'
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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