| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Siena wins by over 3.5 Points | 52% | 49¢ | 52¢ | — | $502 | Trade → |
| Mount St. Mary's wins by over 6.5 Points | 0% | 16¢ | 23¢ | — | $0 | Trade → |
| Siena wins by over 9.5 Points | 0% | 25¢ | 31¢ | — | $0 | Trade → |
| Mount St. Mary's wins by over 15.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| Mount St. Mary's wins by over 12.5 Points | 0% | 4¢ | 12¢ | — | $0 | Trade → |
| Mount St. Mary's wins by over 18.5 Points | 0% | 3¢ | 7¢ | — | $0 | Trade → |
| Siena wins by over 12.5 Points | 0% | 17¢ | 24¢ | — | $0 | Trade → |
| Mount St. Mary's wins by over 3.5 Points | 0% | 27¢ | 33¢ | — | $0 | Trade → |
| Siena wins by over 6.5 Points | 0% | 35¢ | 41¢ | — | $0 | Trade → |
| Mount St. Mary's wins by over 9.5 Points | 0% | 10¢ | 16¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur for the college basketball game Mount St. Mary's at Siena; it matters because spread markets aggregate bettors' expectations about margin of victory and react to news up to tipoff.
Siena is the home team for this matchup and both programs are mid‑major Division I teams with different conference affiliations and styles; home court, roster availability, and recent form often drive expectations in these games. Historical meetings may be limited, so bettors typically weigh recent performance, matchup statistics, and roster news rather than long-term rivalry trends.
Prices in a spread market reflect the crowd's assessment of which margin band is most likely; they update as new information (injuries, line moves, betting flow) becomes available and are best read as a real‑time summary of collective expectations, not certainties.
Each of the ten outcomes corresponds to a specific point‑spread bracket or exact-margin range for the final score; the winning outcome is the bracket that contains the actual final margin. Check the market page to see the exact spread ranges assigned to each outcome.
The close time is listed as TBD for now; typically the platform will close a spread market at or just before scheduled tipoff, but the final closing time can change if the platform updates the event schedule, so monitor the market page for the authoritative close.
Late injury or lineup news can materially shift market prices and thus the implied likelihood of each spread bracket; significant absences, reduced minutes for key players, or announced foul trouble often push bettors and prices toward wider or narrower margin outcomes accordingly.
Watch Siena's home offensive/defensive efficiency and primary ball‑handlers, plus Mount St. Mary's interior presence and rebounding — those elements commonly determine whether the game stays close or produces a decisive margin. Lineup matchups and expected minutes for each team's lead scorers matter more than deep bench stats.
Use head‑to‑head as supplemental context if there are multiple recent meetings, but prioritize recent performance vs. similar opponents, strength of schedule, and situational factors (home/away, rest, injuries). Small sample H2H trends can be noisy, so combine them with box‑score analytics and roster news before drawing conclusions.