This event group covers a men's college basketball game between the Seattle Redhawks and Loyola Marymount Lions scheduled for February 28, 2026 at 9:00 PM ET. Markets span moneyline (winner), spread, and multiple over/under total points variations across Kalshi and Polymarket platforms.
Kalshi moneyline market contains a logical contradiction: both possible outcomes (Seattle win and Loyola Marymount win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable. Polymarket moneyline is clear and unambiguous.
Hero Tip:
Do not trade the Kalshi moneyline market until Kalshi issues a clarification or correction. The spread and over/under markets on both platforms are logically sound and consistent. Use Polymarket for moneyline exposure and NCAA.com official final scores (including overtime) as the authoritative settlement source.
Critical Divergence Points:
Kalshi: Moneyline market (items 1-2) states both Seattle win and Loyola Marymount win resolve to Yes. This is a logical impossibility for a binary market. Quote: 'If Seattle wins...resolves to Yes. If Loyola Marymount wins...resolves to Yes.'
Polymarket: Moneyline market clearly maps Seattle Redhawks win to 'Seattle Redhawks' and Loyola Marymount Lions win to 'Loyola Marymount Lions'. Spread and over/under markets (items 4-12) use consistent threshold logic and 50-50 cancellation rule. Quote: 'If the Seattle Redhawks win, the market will resolve to Seattle Redhawks. If the Loyola Marymount Lions win, the market will resolve to Loyola Marymount Lions.'
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.