A men's college basketball game between Cal Poly Mustangs and Hawaii Rainbow Warriors scheduled for February 19-20, 2026. Markets cover the moneyline (winner), multiple point spreads, and over/under total points wagered across Kalshi and Polymarket platforms.
Kalshi moneyline market contains a logical contradiction where both possible outcomes (Hawaii wins OR Cal Poly wins) are stated to resolve to Yes, making the market unresolvable. Additionally, Kalshi cites Feb 20 while Polymarket cites Feb 19 at 11:59 PM ET, creating a date/time ambiguity.
Hero Tip:
Do not trade Kalshi moneyline—it is logically incoherent. Use Polymarket as the primary source for all resolution logic. Verify the actual game date and time against NCAA.com before the event. If Kalshi intended to create a 'game will be played' market, that should have been explicit; as written, it cannot be settled fairly.
Critical Divergence Points:
Kalshi: Moneyline market states: 'If Hawai'i wins...resolves to Yes' AND 'If Cal Poly wins...resolves to Yes.' This is a logical contradiction. Game date listed as Feb 20, 2026. No clear handling of postponement or cancellation.
Polymarket: Clear mutually exclusive outcomes: Cal Poly win resolves to 'Cal Poly Mustangs', Hawaii win resolves to 'Hawaii Rainbow Warriors'. Game scheduled Feb 19 at 11:59 PM ET. Explicit rules for postponement (market stays open) and cancellation (50-50 split). Spread and total markets use consistent logic with same date/time and edge-case handling.
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.