Cal Poly Mustangs vs. California-San Diego Tritons
Volume:
$57,744
Markets
Outcome
Chance %
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Volume
24h
7d
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Description
This event group covers a women's college basketball game between Cal Poly Mustangs and UC San Diego (California-San Diego) Tritons scheduled for February 28, 2026 at 10:00 PM ET. Markets track the moneyline winner, point spread (-6.5 favoring UC San Diego), and two over/under totals (162.5 and 164.5 points).
Kalshi moneyline market contains a logical contradiction: both possible outcomes (Cal Poly win and UC San Diego win) are mapped to the same resolution (Yes), making the market unresolvable. Polymarket moneyline and all other markets are logically sound and consistent.
Hero Tip:
Do not trade or hold the Kalshi moneyline market. It cannot be resolved as written. Trade the Polymarket moneyline, spread, and total markets with confidence—they all use standard, mutually exclusive resolution logic and agree on the underlying game outcome source (final score including overtime, NCAA.com).
Critical Divergence Points:
Kalshi: Moneyline market resolves to Yes for both Cal Poly win and UC San Diego win. This is a logical contradiction that makes the market unresolvable. Quote: 'If Cal Poly wins the UC San Diego at Cal Poly women's college basketball game originally scheduled for Feb 28, 2026, then the market resolves to Yes. If UC San Diego wins the UC San Diego at Cal Poly women's college basketball game originally scheduled for Feb 28, 2026, then the market resolves to Yes.'
Polymarket: Moneyline, spread, and total markets all use standard mutually exclusive resolution logic. Cal Poly win resolves to Cal Poly Mustangs; UC San Diego win resolves to California-San Diego Tritons. Spread resolves based on margin (UC San Diego by 7+ = UC San Diego wins). Totals resolve based on combined points (163+ = Over for 162.5 line; 165+ = Over for 164.5 line). All reference final score including overtime, with 50-50 split if game is canceled with no makeup.
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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