This event group covers a men's college basketball game between Oregon State Beavers and Seattle Redhawks scheduled for February 15, 2026. Markets span moneyline (winner), spread (-6.5), and over/under totals (136.5 and 137.5), with resolution based on final score including overtime.
Kalshi's moneyline market contains a logical contradiction where both possible outcomes (Seattle win and Oregon State win) are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket's moneyline and all derivative markets (spread, totals) maintain consistent mutually-exclusive resolution logic.
Hero Tip:
Do not trade the Kalshi moneyline. It will likely be voided or corrected by the platform. For winner determination, rely exclusively on Polymarket's moneyline market. All spread and total markets across both platforms are internally consistent and should resolve normally based on final score including overtime.
Critical Divergence Points:
Kalshi: Moneyline market contains logical contradiction: 'If Seattle wins...resolves to Yes' AND 'If Oregon St. wins...resolves to Yes'. Both outcomes cannot both be Yes in a binary market. This makes the market unresolvable as written.
Polymarket: Moneyline resolves to 'Oregon State Beavers' if Oregon State wins OR 'Seattle Redhawks' if Seattle wins - mutually exclusive outcomes. Spread market resolves to 'Seattle Redhawks' if they win by 7+ points, otherwise 'Oregon State Beavers'. Over/Under markets (136.5 and 137.5) resolve to Over/Under based on combined score threshold. All logic is internally consistent.
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.
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