Houston Christian Huskies vs. East Texas A&M Lions (W)
Volume:
$18,008
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 Houston Christian Huskies and East Texas A&M Lions scheduled for February 19, 2026. The markets resolve based on which team wins the game, with provisions for postponement and cancellation scenarios.
Kalshi's resolution logic contains a logical contradiction where both possible game outcomes (Houston Christian win and East Texas A&M win) are stated to resolve to Yes, making binary settlement impossible. This is a data integrity failure that renders the Kalshi market fundamentally unresolvable as written.
Hero Tip:
Avoid trading on Kalshi until this contradiction is resolved. Use Polymarket as the authoritative source. The Polymarket logic is internally consistent and includes proper edge-case handling for postponements and cancellations.
Critical Divergence Points:
Polymarket: Binary win-based resolution. Resolves to 'Houston Christian Huskies' if Houston Christian wins, 'East Texas A&M Lions' if East Texas A&M wins. Postponed games remain open; canceled games with no makeup resolve 50-50. Key quote: 'The result will be determined based on the final score including any overtime periods.'
Kalshi: Contradictory logic failure. States both 'If Houston Christian wins...resolves to Yes' and 'If East Texas A&M wins...resolves to Yes', creating logical impossibility. Key quote: Both outcomes map to Yes, violating binary contract principles.
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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