New Hampshire Wildcats vs. Massachusetts-Lowell River Hawks
Volume:
$640,683
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a men's college basketball game between the New Hampshire Wildcats and Massachusetts-Lowell River Hawks scheduled for February 19, 2026 at 6:00 PM ET. Markets include moneyline (winner), point spread, and multiple over/under total points variations across Kalshi and Polymarket platforms.
Kalshi moneyline market contains a logical contradiction: both possible game outcomes (New Hampshire win and UMass Lowell win) are mapped to the same resolution state (Yes), making the market fundamentally unresolvable without manual override.
Hero Tip:
Do not trade the Kalshi moneyline for this matchup. The market structure is broken and will require manual settlement intervention. All Polymarket markets (moneyline, spread, and three over/under variants) are logically sound and resolvable based on final game score.
Critical Divergence Points:
Kalshi: Moneyline market maps both outcomes to Yes: 'If New Hampshire wins...resolves to Yes' and 'If UMass Lowell wins...resolves to Yes'. This creates a logical tautology with no distinguishing resolution path and no possible No outcome.
Polymarket: Moneyline market cleanly separates outcomes: resolves to 'New Hampshire Wildcats' if NH wins, or 'Massachusetts-Lowell River Hawks' if UMass Lowell wins. Cancellation without makeup resolves 50-50. All over/under and spread markets follow consistent, unambiguous logic tied to 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.