| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 168.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 162.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 165.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the college basketball game between Duquesne and VCU. It matters to traders and fans who want to express views about scoring tendencies, tempo, and game conditions without betting on a winner.
Duquesne and VCU are conference opponents whose styles, rosters, and recent form shape expected scoring outcomes. Historical matchups, venue (home/away), and any roster or coaching changes since their last meetings can alter how that game typically plays out. Because the market window and actual game conditions can change, background context helps interpret shifts in market pricing.
Market prices represent the collective expectation for the combined points total and will move as new information (injuries, lineups, weather for travel, etc.) becomes available. Use price movements to see which scoring ranges traders find more or less likely, rather than as fixed predictions.
Total Points refers to the combined points scored by Duquesne and VCU in the game; unless the market rules state otherwise, points scored in any overtime periods are included. Always confirm the market’s official rules before trading.
The closing time is set by the market operator and is currently TBD; typical practice is to close markets at or just before the scheduled game start, but check the platform for the official close notification.
Head-to-head history can provide context, but prioritize recent games, roster continuity, and current-season trends since teams’ styles and personnel can change materially between meetings.
Announcements that affect scoring capacity—such as absence of a leading scorer, loss of a primary ball-handler, or return of a high-volume shooter—tend to shift expectations for the combined point total.
Multiple discrete outcomes let you target narrow point bands rather than a single over/under; assess liquidity across adjacent ranges, consider hedging by buying/selling nearby bands, and be mindful that low volume can cause larger price swings.