Louisiana-Lafayette Ragin' Cajuns vs. South Alabama Jaguars (W)
Volume:
$3,191
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
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Description
This event group covers the women's college basketball matchup between Louisiana-Lafayette Ragin' Cajuns and South Alabama Jaguars scheduled for February 14, 2026. The market resolves based on which team wins the game, with specific handling for postponements and cancellations.
Kalshi market contains a logical contradiction where both possible game outcomes (Louisiana win or South Alabama win) resolve to Yes, making the market fundamentally unresolvable as written. Polymarket uses a standard categorical winner-determination structure.
Hero Tip:
Do not trade Kalshi until the contradiction is resolved by the platform. Polymarket is the only resolvable market in this group. Verify with PredictionHero support whether Kalshi intended a binary Yes/No split or if the market will be canceled.
Critical Divergence Points:
Kalshi: Binary Yes/No structure with logical error. Both Louisiana win and South Alabama win are stated to resolve to Yes, leaving no path for a No resolution. Key Quote: 'If Louisiana wins...resolves to Yes. If South Alabama wins...resolves to Yes.'
Polymarket: Categorical winner resolution. Louisiana win resolves to Louisiana-Lafayette Ragin' Cajuns; South Alabama win resolves to South Alabama Jaguars. Includes postponement (market stays open) and cancellation (50-50 split) handling. Key Quote: 'If the Louisiana-Lafayette Ragin' Cajuns win, the market will resolve to Louisiana-Lafayette Ragin' Cajuns.'
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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