Northwestern Wildcats vs. Penn State Nittany Lions (W)
Volume:
$149,754
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the outcome of a women's college basketball game between Northwestern Wildcats and Penn State Nittany Lions scheduled for February 15, 2026 at 4:00 PM ET at Penn State. Markets resolve based on the final score including overtime, with provisions for postponement or cancellation.
Kalshi market contains a logical contradiction where both possible game outcomes (Northwestern win or Penn State win) are defined to resolve to Yes, making the market fundamentally unresolvable as a binary event.
Hero Tip:
Do not trade on Kalshi's version of this market until the platform clarifies the resolution logic. Polymarket's categorical resolution (Northwestern Wildcats vs Penn State Nittany Lions) is logically sound and should be treated as the reliable settlement source.
Critical Divergence Points:
Kalshi: Binary Yes/No market with contradictory logic: both Northwestern win and Penn State win are mapped to Yes resolution. Quote: If Northwestern wins resolve Yes; If Penn St wins resolve Yes. This leaves no outcome for No resolution.
Polymarket: Categorical market with winner-specific outcomes: Northwestern Wildcats or Penn State Nittany Lions. Includes postponement (market remains open) and cancellation (50-50 split) provisions. Resolution based on final score including overtime.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.