| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 138.5 points scored | 46% | 46¢ | 47¢ | — | $30K | Trade → |
| Over 135.5 points scored | 55% | 55¢ | 56¢ | — | $6K | Trade → |
| Over 132.5 points scored | 62% | 64¢ | 65¢ | — | $1K | Trade → |
| Over 144.5 points scored | 33% | 32¢ | 34¢ | — | $650 | Trade → |
| Over 141.5 points scored | 38% | 39¢ | 41¢ | — | $135 | Trade → |
| Over 117.5 points scored | 88% | 88¢ | 92¢ | — | $116 | Trade → |
| Over 129.5 points scored | 71% | 69¢ | 72¢ | — | $98 | Trade → |
| Over 123.5 points scored | 77% | 79¢ | 85¢ | — | $90 | Trade → |
| Over 120.5 points scored | 89% | 87¢ | 89¢ | — | $90 | Trade → |
| Over 126.5 points scored | 75% | 75¢ | 79¢ | — | $10 | Trade → |
| Over 147.5 points scored | 0% | 25¢ | 29¢ | — | $0 | Trade → |
This market lets traders take positions on the combined points scored by Towson and Charleston in their matchup; it matters because total-points markets aggregate real-time views about pace, scoring efficiency, and game conditions that affect final scoring.
Towson and Charleston are Division I college programs whose game-to-game scoring can vary with rosters, coaching tactics, and schedule context. Historical matchups, recent offensive and defensive form, and where the game is played all provide background that helps frame expectations for total points.
Market prices reflect the collective expectation for total points and move as new information arrives (injuries, lineups, weather for travel, etc.). Treat prices as evolving signals rather than fixed forecasts and check platform rules to understand how outcomes are defined and settled.
The event page lists the close time as TBD; typically markets close at a platform-specified cutoff, often shortly before tip-off or when lineup/injury information is finalized—check the platform’s event page for the official close time.
Major movers are early foul trouble to starters, unexpected injuries or ejections, a sudden change in tempo (e.g., one team pushing fast breaks), and any announced lineup shifts that alter scoring responsibilities.
Head-to-head history can highlight matchup tendencies, but use it alongside recent season form, roster turnover, and pace differences; small sample sizes and roster changes can make historical numbers less predictive.
Late reports can materially change expected scoring—loss of a primary scorer or rim protector typically lowers expected totals, while depth changes may have subtler effects; monitor official injury updates and starting lineups closely.
Resolution rules vary by platform; some markets count only regulation while others include overtime—confirm the settlement rules on the event page or platform rulebook before trading.