This event group covers a men's college basketball game between Boise State Broncos and Fresno State Bulldogs scheduled for February 28, 2026. Markets span moneyline (winner), spread betting (-6.5 and -7.5 point spreads), and over/under totals (148.5 and 149.5 combined points).
Unified Resolution Criteria (Consistent across platforms)
Both platforms apply identical resolution principles: final score including overtime determines all outcomes, postponement keeps markets open, and cancellation without makeup results in 50-50 split.
Primary resolution logic:
Official NCAA game records and final score
Core resolution logic:
Moneyline resolves to the team with the higher final score
Spread markets resolve based on point differential: Boise State -6.5 requires 7+ point win; Boise State -7.5 requires 8+ point win
Over/Under 148.5 resolves Over if combined score is 149+, Under if 148 or less
Over/Under 149.5 resolves Over if combined score is 150+, Under if 149 or less
All outcomes determined by final score including any overtime periods
Edge cases & Clarifications:
Game Postponement: If the game is postponed, all markets remain open and unresolved until the game is completed on a future date
Game Cancellation: If the game is canceled entirely with no makeup game scheduled, all markets resolve 50-50 (split between Yes/No or both outcomes equally)
Overtime: All final scores include any overtime periods played; there is no separate overtime resolution
Timing:
Resolution occurs after the game concludes on February 28, 2026 (or rescheduled date if postponed). Markets remain open if postponed; 50-50 resolution if canceled without makeup.
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.