| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| George Mason wins by over 3.5 Points | 49% | 49¢ | 51¢ | — | $347 | Trade → |
| George Mason wins by over 12.5 Points | 0% | 3¢ | 97¢ | — | $0 | Trade → |
| George Mason wins by over 15.5 Points | 0% | 3¢ | 97¢ | — | $0 | Trade → |
| George Mason wins by over 18.5 Points | 0% | 3¢ | 96¢ | — | $0 | Trade → |
| St. Bonaventure wins by over 3.5 Points | 0% | 3¢ | 96¢ | — | $0 | Trade → |
| St. Bonaventure wins by over 12.5 Points | 0% | 3¢ | 96¢ | — | $0 | Trade → |
| St. Bonaventure wins by over 9.5 Points | 0% | 3¢ | 97¢ | — | $0 | Trade → |
| George Mason wins by over 9.5 Points | 0% | 3¢ | 97¢ | — | $0 | Trade → |
| St. Bonaventure wins by over 6.5 Points | 0% | 3¢ | 97¢ | — | $0 | Trade → |
| George Mason wins by over 6.5 Points | 0% | 3¢ | 96¢ | — | $0 | Trade → |
This market asks which spread outcome will be true after the college basketball game between St. Bonaventure and George Mason. It matters because the spread encapsulates expectations about the game margin and is useful for bettors and analysts monitoring market-implied forecasts.
St. Bonaventure and George Mason are NCAA Division I programs; matchups between them involve differences in roster composition, coaching styles, and typical pace of play that affect scoring margins. Historical context such as each program's recent head-to-head results, conference alignment, and roster continuity can shape expectations for this specific game.
Prediction market prices indicate the collective market view on which spread bucket is most likely to occur and will move as new information (injuries, starting lineups, venue confirmation) becomes available. Treat prices as dynamic signals rather than fixed forecasts; they summarize current market sentiment about the likely margin.
The market closes at the time specified by the platform, typically before game tipoff; because this event lists 'Closes: TBD', check the platform for the exact closing time or watch for an update tied to the official game start.
They represent ten discrete spread buckets or margin intervals offered by the platform; after the final score is official, the market settles to the single outcome whose margin range contains the game's final point differential.
Settlement typically uses the official final score including any overtime periods, so points scored in overtime count toward the final margin used to determine which spread outcome wins.
Roster news can materially change expected margins for this game; because markets update quickly, monitor official injury reports, coach comments, and starting lineup announcements and expect prices to shift as that information is confirmed.
A low total traded volume indicates limited liquidity—prices may be more volatile and large orders could move the market; it does not by itself indicate which outcome is more likely, but it means fewer participants have expressed views so far.