East Texas A&M Lions vs. Northwestern State Demons (W)
Volume:
$362,309
Markets
Outcome
Chance %
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Liquidity
Volume
24h
7d
Open Interest
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Description
This event group covers a women's college basketball game between East Texas A&M Lions and Northwestern State Demons scheduled for February 16, 2026 at 5:00 PM ET. Markets across Polymarket and Kalshi are betting on the outcome of this single game, with resolution based on the final score including overtime.
Kalshi market contains a logical contradiction where both possible game outcomes (Northwestern St. win OR East Texas A&M win) are specified to resolve to Yes, making the market unresolvable. Polymarket uses standard binary winner-take-all logic.
Hero Tip:
This is a critical data integrity failure on Kalshi. Both outcomes cannot simultaneously resolve to Yes in a binary market. Escalate to Kalshi support immediately to clarify whether the market is actually about game occurrence, postponement, or cancellation rather than winner selection. Avoid trading Kalshi until the contradiction is resolved.
Critical Divergence Points:
Polymarket: Standard binary sports outcome market. East Texas A&M Lions win resolves to East Texas A&M Lions; Northwestern State Demons win resolves to Northwestern State Demons. Postponement keeps market open; cancellation without makeup resolves 50-50. Resolution based on final score including overtime.
Kalshi: Contradictory resolution logic. Market states: If Northwestern St. wins, resolve Yes. If East Texas A&M wins, resolve Yes. This creates logical impossibility where both mutually exclusive outcomes trigger the same resolution, making the market mathematically unresolvable.
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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