UC Irvine Anteaters vs. California-San Diego Tritons (W)
Volume:
$12,340
Markets
Outcome
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24h
7d
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Description
This event group covers a women's college basketball game between UC Irvine Anteaters and UC San Diego Tritons scheduled for February 21, 2026 at 7:00 PM ET. Markets on Polymarket and Kalshi are tracking the outcome of this matchup, with resolution based on the final score including overtime.
Kalshi market contains a logical contradiction where both possible outcomes (UC Irvine win and UC San Diego win) are specified to resolve to Yes, making the market unresolvable. Polymarket uses standard binary resolution logic.
Hero Tip:
This is a critical data integrity failure on Kalshi. The market as written cannot be settled fairly because both mutually exclusive outcomes map to the same resolution value. Do not trade on Kalshi until the platform issues a clarification or corrected terms. Polymarket's market is resolvable and follows proper binary sports betting structure.
Critical Divergence Points:
Polymarket: Binary outcome market with mutually exclusive resolution paths. If UC Irvine wins, resolves to UC Irvine Anteaters. If UC San Diego wins, resolves to California-San Diego Tritons. Includes postponement (market stays open) and cancellation (50-50 split) provisions. Resolution based on final score including overtime.
Kalshi: Contradictory dual-Yes structure. States both If UC Irvine wins then Yes AND If UC San Diego wins then Yes. This is logically impossible since only one team can win. Market cannot be settled without platform intervention to clarify which outcome should resolve Yes and which should resolve No.
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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