This event group covers a men's college basketball game between Oklahoma State Cowboys and Colorado Buffaloes scheduled for March 10, 2026 at 9:30 PM ET. Markets span moneyline (winner), spread (-1.5), and multiple over/under totals (162.5, 163.5, 164.5, 165.5).
Kalshi's moneyline market contains a logical contradiction where both outcomes resolve to Yes, making it fundamentally unresolvable. Polymarket's moneyline, spread, and total markets are internally consistent and align with standard sports betting conventions.
Hero Tip:
Do not trade Kalshi's moneyline until clarification is obtained from the platform. Polymarket's markets (moneyline, spread, totals) are safe to trade and use consistent resolution logic: final score including overtime, postponement keeps market open, cancellation resolves 50-50.
Critical Divergence Points:
Kalshi: Moneyline market states both outcomes resolve to Yes: 'If Colorado wins... resolves to Yes' AND 'If Oklahoma St. wins... resolves to Yes.' This is a logical impossibility for a binary Yes/No market and indicates a critical data integrity failure.
Polymarket: Moneyline resolves to 'Oklahoma State Cowboys' if OSU wins or 'Colorado Buffaloes' if Colorado wins. Spread resolves to 'Colorado Buffaloes' if they win by 2+ points, otherwise 'Oklahoma State Cowboys'. All totals (162.5, 163.5, 164.5, 165.5) resolve Over/Under based on combined score thresholds. All markets include consistent edge-case handling: postponement keeps market open, cancellation resolves 50-50, overtime included in final score.
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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