UC Irvine Anteaters vs. CSUN Matadors is a men's college basketball game scheduled for February 26, 2026 at 10:00 PM ET. Markets across Kalshi and Polymarket cover moneyline winner, point spread, and over/under total outcomes.
Kalshi uses multiple binary point-spread threshold markets while Polymarket uses categorical outcome markets (moneyline, spread, over/under). The underlying game resolution source is identical, but market structure and settlement mechanics differ.
Hero Tip:
Both platforms will resolve based on the final score of the UC Irvine vs. CSUN game on February 26, 2026, including overtime. On Kalshi, confirm which specific point-differential threshold(s) you are trading, as multiple thresholds may resolve Yes on the same game outcome. On Polymarket, select your outcome category (moneyline, spread, or total) carefully. The game source (NCAA.com / official final score) is consistent across both platforms.
Critical Divergence Points:
Kalshi: 11 separate binary Yes/No markets, each tied to a specific point-differential threshold (UCI +2.5, +5.5, +8.5, +11.5, +14.5 or CSUN +1.5, +4.5, +7.5, +10.5, +13.5, +16.5). Each market resolves Yes if its threshold is exceeded. Key Quote: 'If UC Irvine wins by more than 11.5 points... then the market resolves to Yes.'
Polymarket: Three separate categorical markets: Moneyline (UC Irvine Anteaters vs. CSUN Matadors), Over/Under 154.5 total points, and Spread CSUN -1.5. Each resolves to a single outcome category. Key Quote: 'This market will resolve to UC Irvine Anteaters if the UC Irvine Anteaters win the game by any margin.'
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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