| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 150.5 points scored | 48% | 44¢ | 48¢ | — | $200 | Trade → |
| Over 141.5 points scored | 0% | 64¢ | 71¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 14¢ | 21¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 30¢ | 36¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 80¢ | 87¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 57¢ | 64¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 70¢ | 76¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 36¢ | 42¢ | — | $0 | Trade → |
| Over 162.5 points scored | 0% | 17¢ | 24¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 52¢ | 56¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 23¢ | 29¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 75¢ | 83¢ | — | $0 | Trade → |
This market lets traders express expectations about the combined final score (total points) in the Saint Louis at George Mason basketball game; it matters because total points markets synthesize public information about pace, shooting, and game context. The market currently shows 12 discrete outcomes and has had $200 of trading volume to date.
Both teams are Division I programs with distinct offensive and defensive tendencies; team rosters, coaching philosophies, and recent form shape how high- or low-scoring the game is likely to be. Seasonal factors — such as nonconference scheduling, travel, and any roster turnover since the previous meeting — also affect scoring expectations and are often reflected in pregame lines and market movement.
Market prices aggregate traders' information and react to new facts (injuries, starters, tempo indicators) but are not static forecasts — they update as participants trade. Use the market as a dynamic summary of collective expectations while checking underlying data (box scores, injury reports, pace metrics) for your own analysis.
The close time is not yet set; the platform will post an official close time on the market page and via any exchange notifications. Until the market closes, outcomes can be traded and prices will continue to respond to new information.
The 12 outcomes partition the range of possible combined scores into discrete, mutually exclusive outcomes (either specific total values or contiguous score ranges). Consult the market description on the trading platform to see the exact mapping of those outcomes to final total-score intervals.
Treat confirmed injuries or confirmed changes to starters/minutes as high-impact information: loss of a primary scorer typically reduces expected total, while addition of a key offensive player increases it. Watch official team announcements, pregame injury reports, and verified starting lineups, and expect the market to adjust quickly after such releases.
Head-to-head history can offer context about matchup tendencies but may be limited by roster turnover, coaching changes, and small sample sizes. Place greater weight on current-season offensive/defensive metrics, recent games against similar opponents, and current roster availability.
Settlement is based on the official final box score designated by the trading platform (for example, the league's official statistics provider). Check the market's rules or the platform's settlement policy to confirm the named official source and the timing for final settlement.