Binghamton Bearcats vs. Massachusetts-Lowell River Hawks
0%
Yes 0¢No 100¢
$0
$9,671
5%
5%
N/A
Description
This event group covers a men's college basketball game between Binghamton Bearcats and Massachusetts-Lowell River Hawks scheduled for February 21, 2026 at 1:00 PM ET. Markets include moneyline (winner), two spread variants (-9.5 and -10.5), and a total points over/under (146.5).
Kalshi's market definition is a tautology (resolves Yes for any game outcome except cancellation), while Polymarket offers standard binary competitive markets. The markets measure different concepts: Kalshi measures game completion; Polymarket measures competitive outcome.
Hero Tip:
Use Polymarket moneyline and spreads for directional bets on Binghamton vs. UMass Lowell. Treat Kalshi as a game-completion insurance or hedge only if you need protection against cancellation risk. Do not assume Kalshi and Polymarket moneyline are equivalent—they are not.
Critical Divergence Points:
Polymarket:
Moneyline resolves to winner (Binghamton or UMass Lowell). Spreads (-9.5 and -10.5) resolve based on margin of victory. Over/Under (146.5) resolves based on combined score >= 147. All use final score including overtime. Postponement keeps market open; cancellation with no makeup resolves 50-50.
Kalshi:
Market resolves Yes if UMass Lowell wins OR if Binghamton wins. This is logically equivalent to 'the game is played.' No explicit handling of postponement or cancellation stated. Key quote: 'If UMass Lowell wins...then the market resolves to Yes. If Binghamton wins...then the market resolves to 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.