| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 165.5 points scored | 26% | 17¢ | 25¢ | — | $137 | Trade → |
| Over 153.5 points scored | 44% | 44¢ | 50¢ | — | $129 | Trade → |
| Over 136.5 points scored | 0% | 77¢ | 86¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 30¢ | 35¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 50¢ | 56¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 36¢ | 43¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 64¢ | 70¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 57¢ | 64¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 75¢ | 83¢ | — | $0 | Trade → |
| Over 168.5 points scored | 0% | 13¢ | 20¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 70¢ | 76¢ | — | $0 | Trade → |
| Over 162.5 points scored | 0% | 24¢ | 30¢ | — | $0 | Trade → |
This market asks traders to predict the combined final score (total points) of the college basketball game between Detroit Mercy and Wright St.; it matters to anyone who wants to express a view on how high- or low-scoring this specific matchup will be.
Detroit Mercy and Wright St. are mid-major programs whose games can vary widely in pace and scoring depending on personnel and matchup. Historical trends, conference style of play, and recent roster changes all shape expectations for total points in any given meeting between these teams.
Market prices reflect the collective expectations of traders across the discrete outcomes offered and will move as new information (injuries, lineups, rest, etc.) becomes available; higher prices indicate stronger market support for a particular total range.
The listing currently shows the close time as TBD; typically these markets close at or shortly before the game tip-off according to the platform’s schedule, so check the market page for final close-time updates.
The 12 outcomes break the range of possible combined scores into discrete, mutually exclusive outcome bins or thresholds that traders can buy into to express specific expectations about the total points scored.
Primary scorers, starting ball-handlers who control pace, and frontcourt players who affect rebounding and second-chance points tend to have the largest impact; monitor the status and expected minutes of each team’s leading scorers and playmakers.
Late injuries or changes can materially shift expected scoring—loss of a top scorer or defensive anchor will usually move expectations for the total quickly—so react to official team reports and verified lineup releases close to tip-off.
Use head-to-head and recent-game data as context but adjust for sample size, venue, roster turnover, and schedule differences; place more emphasis on current-season offensive/defensive efficiencies and recent pace trends than on distant past meetings.