A men's college basketball game between DePaul Blue Demons and Seton Hall Pirates scheduled for February 18, 2026 at 8:00 PM ET at Seton Hall. Multiple prediction markets track the moneyline winner, point spread outcomes, and total points scored.
Kalshi moneyline market contains a logical contradiction where both possible game outcomes (Seton Hall win and DePaul win) are mapped to the same resolution outcome (Yes), making the market fundamentally unresolvable and creating settlement ambiguity.
Hero Tip:
Do not trade the Kalshi moneyline. The market logic is broken - it cannot differentiate between the two teams winning. Use Polymarket moneyline instead, which correctly assigns DePaul Blue Demons to a DePaul victory and Seton Hall Pirates to a Seton Hall victory. All spread and total markets on both platforms are logically sound and consistent.
Critical Divergence Points:
Kalshi: Moneyline market resolves to Yes for both Seton Hall victory AND DePaul victory. Quote: 'If Seton Hall wins... resolves to Yes' and 'If DePaul wins... resolves to Yes'. This creates an impossible scenario where the market cannot differentiate outcomes.
Polymarket: Moneyline market correctly resolves to 'Seton Hall Pirates' if Seton Hall wins or 'DePaul Blue Demons' if DePaul wins. Quote: 'If the DePaul Blue Demons win, the market will resolve to DePaul Blue Demons. If the Seton Hall Pirates win, the market will resolve to Seton Hall Pirates.' Clear binary differentiation.
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.