McNeese State Cowboys vs. New Orleans Privateers (W)
Volume:
$58,218
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 McNeese State Cowboys and New Orleans Privateers scheduled for February 28, 2026 at 3:00 PM ET. Markets across Polymarket and Kalshi are pricing the outcome of this single game, with resolution dependent on the final score including overtime.
Kalshi's resolution criteria map both possible game outcomes (New Orleans win and McNeese win) to the same resolution value (Yes), creating a logical contradiction that makes the market fundamentally unresolvable and eliminates all price discovery.
Hero Tip:
Avoid trading Kalshi until the platform issues a corrected resolution statement. The Polymarket binary structure is logically sound and should be your reference. Request clarification from Kalshi on whether the McNeese outcome should resolve to No.
Critical Divergence Points:
Polymarket: Clean binary winner-take-all structure. McNeese victory resolves to McNeese State Cowboys; New Orleans victory resolves to New Orleans Privateers. Postponement extends market; cancellation with no makeup resolves 50-50. Resolution based on final score including overtime.
Kalshi: Critical logical error: both outcomes resolve to Yes. States If New Orleans wins resolves Yes AND If McNeese wins resolves Yes, creating an impossible resolution scenario where the market cannot differentiate between outcomes.
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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