Southeastern Louisiana Lions vs. New Orleans Privateers (W)
Volume:
$111
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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Description
This event group covers a women's college basketball game between Southeastern Louisiana Lions and New Orleans Privateers scheduled for February 26, 2026 at 7:30 PM ET. Markets on Polymarket and Kalshi are tracking the winner of this matchup, with different resolution mechanics across platforms.
Kalshi's resolution logic contains a logical contradiction where both mutually exclusive outcomes (Southeastern Louisiana wins AND New Orleans wins) are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket uses standard binary winner-take-all logic.
Hero Tip:
Kalshi's market is critically broken and cannot be resolved as currently written. Avoid trading on Kalshi. Polymarket's market is logically sound and resolvable based on final game score. Trade confidence should be placed only on Polymarket until Kalshi corrects its resolution terms.
Critical Divergence Points:
Polymarket: Binary winner-take-all structure. Lions victory resolves to 'Southeastern Louisiana Lions', Privateers victory resolves to 'New Orleans Privateers'. Postponement keeps market open; total cancellation resolves 50-50. Resolution based on final score including overtime.
Kalshi: Logically contradictory dual-Yes resolution. States both 'If Southeastern Louisiana wins...resolves to Yes' AND 'If New Orleans wins...resolves to Yes', creating an impossible scenario where both mutually exclusive outcomes cannot both be Yes.
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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