Utah Tech Trailblazers vs. Abilene Christian Wildcats (W)
Volume:
$1,565
Markets
Outcome
Chance %
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Liquidity
Volume
24h
7d
Open Interest
Ends in
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Description
This event group covers a women's college basketball game between Utah Tech Trailblazers and Abilene Christian Wildcats scheduled for February 26, 2026 at 7:00 PM ET. Markets on Polymarket resolve based on the winner, while Kalshi's market structure creates a logical inconsistency in how outcomes are handled.
Kalshi's market structure is logically contradictory: both possible game outcomes (Utah Tech win and Abilene Christian win) are mapped to the same resolution (Yes), making the market incapable of distinguishing between outcomes and rendering it unresolvable.
Hero Tip:
Do not trade on Kalshi's version of this market. The resolution logic is broken—it will resolve Yes regardless of who wins, making it impossible to profit from correct predictions. Use Polymarket exclusively, which has proper binary resolution logic and clear edge-case rules.
Critical Divergence Points:
Polymarket: Binary winner-based resolution with explicit edge-case handling. Utah Tech win resolves to 'Utah Tech Trailblazers', Abilene Christian win resolves to 'Abilene Christian Wildcats'. Postponement keeps market open; cancellation with no makeup resolves 50-50. Final score including overtime determines outcome.
Kalshi: Logically malformed Yes/No structure where both Utah Tech win and Abilene Christian win are stated to resolve to Yes, creating a tautology that makes outcome differentiation impossible.
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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