This event group covers a men's college basketball game between Pepperdine Waves and Oregon State Beavers scheduled for February 21, 2026 at 8:00 PM ET at Oregon State. Markets track the moneyline winner, the spread (Oregon State -9.5), and two over/under totals (147.5 and 148.5 points).
Kalshi's moneyline market contains a logical contradiction where both possible outcomes (Pepperdine win and Oregon State win) are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket's equivalent markets are logically consistent.
Hero Tip:
Avoid trading the Kalshi moneyline until the platform issues a clarification. Focus on Polymarket's moneyline, spread, and totals markets, which all follow standard binary resolution logic. If you hold Kalshi moneyline contracts, contact support immediately to understand the intended resolution.
Critical Divergence Points:
Kalshi: Moneyline market states: 'If Pepperdine wins...resolves to Yes' AND 'If Oregon St. wins...resolves to Yes'. This creates a logical impossibility where both outcomes map to the same resolution. No explicit handling of postponement or cancellation is provided.
Polymarket: Moneyline market resolves to 'Pepperdine Waves' if Pepperdine wins, or 'Oregon State Beavers' if Oregon State wins. Spread market resolves to 'Oregon State Beavers' if they win by 10+ points, otherwise 'Pepperdine Waves'. Totals markets (147.5 and 148.5) resolve Over/Under based on combined score. All markets include explicit handling: postponement keeps market open; cancellation with no makeup resolves 50-50.
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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