| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 149.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many combined points Furman and UConn will score in their game; it matters because total-point markets synthesize expectations about pace, shooting, and defense into a single tradable outcome.
UConn is a high-profile NCAA program with recent national visibility, while Furman is a mid-major program with different roster depth and typical tempo. Differences in scheduling, travel, and conference styles can produce mismatches in pace and scoring. Historical head-to-head data may be limited, so current-season trends and matchup specifics matter more.
Market prices reflect collective expectations about the final combined score and incorporate breaking news and betting flow; use them as a real-time signal alongside your own analysis.
The event page lists the close time as TBD; typically markets lock at a announced time or shortly before tip-off—check the market page for the official lock/close timestamp.
The market offers 11 distinct total-point outcomes or brackets that correspond to different final combined-score thresholds; view the market interface to see each labeled outcome and its specific total range.
Resolution rules vary by market; many total-point markets include overtime but some do not—confirm the market's official rules on the event page before trading.
Late injury or lineup news can materially change expected scoring by affecting usage, depth, and matchup dynamics, and markets typically move quickly when such information is released.
Head-to-head history can be informative but is often limited and low-sample; prioritize current-season scoring trends, pace, home/away splits, and recent form over distant historical matchups.