Jackson State Tigers vs. Prairie View A&M Panthers (W)
Volume:
$8,293
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 Jackson State Tigers and Prairie View A&M Panthers scheduled for February 26, 2026 at 8:00 PM ET. Markets across platforms are betting on which team will win the game, with resolution based on the final score including overtime.
Kalshi's resolution logic contains a logical contradiction where both possible game outcomes (Prairie View A&M win OR Jackson State win) are stated to resolve to Yes, making the market fundamentally unresolvable and creating a data integrity failure.
Hero Tip:
This is a critical flaw in Kalshi's market design. Do not trade on Kalshi's version. Use Polymarket exclusively, which has coherent binary resolution: one team wins and resolves to that team's name, the other outcome does not occur. Kalshi's market cannot be settled fairly because both outcomes map to the same resolution state.
Critical Divergence Points:
Polymarket: Standard binary winner-take-all structure with clear mutually exclusive outcomes. Jackson State Tigers win resolves to Jackson State Tigers; Prairie View A&M Panthers win resolves to Prairie View A&M Panthers. Postponement keeps market open; cancellation without makeup resolves 50-50. Resolution based on final score including overtime.
Kalshi: Contradictory resolution logic: both Prairie View A&M winning AND Jackson State winning are stated to resolve to Yes. This violates binary market logic and makes settlement impossible. No contingency rules provided for postponement or cancellation.
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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