UC Irvine Anteaters vs. UC Santa Barbara Gauchos (W)
Volume:
$35,898
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a women's college basketball game between UC Irvine Anteaters and UC Santa Barbara Gauchos scheduled for February 28, 2026 at 5:00 PM ET. Markets on Polymarket and Kalshi are betting on the outcome of this single game, with resolution based on the final score including overtime.
Kalshi's resolution logic contains a logical contradiction where both possible game outcomes (UC Santa Barbara win and UC Irvine win) are mapped to the same resolution state (Yes), making the market fundamentally unresolvable and creating a data integrity failure.
Hero Tip:
Avoid trading on Kalshi until the platform issues a corrected resolution criteria. The market as currently written cannot distinguish between the two teams winning. Polymarket's binary structure is logically sound and should be your reference point.
Critical Divergence Points:
Polymarket: Binary winner-take-all structure with clear paths: UC Irvine win resolves to UC Irvine Anteaters, UC Santa Barbara win resolves to UC Santa Barbara Gauchos. Postponement keeps market open; cancellation with no makeup resolves 50-50. Key Quote: If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Kalshi: Defective Yes/No structure where both possible outcomes map to Yes resolution, creating logical impossibility. No path to No resolution exists. Key Quote: If UC Santa Barbara wins... resolves to Yes. If UC Irvine wins... 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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.