| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| VCU wins by over 11.5 Points | 47% | 47¢ | 48¢ | — | $4K | Trade → |
| VCU wins by over 8.5 Points | 61% | 59¢ | 61¢ | — | $45 | Trade → |
| VCU wins by over 5.5 Points | 64% | 69¢ | 73¢ | — | $5 | Trade → |
| VCU wins by over 2.5 Points | 64% | 78¢ | 81¢ | — | $5 | Trade → |
| VCU wins by over 20.5 Points | 0% | 18¢ | 24¢ | — | $0 | Trade → |
| VCU wins by over 26.5 Points | 0% | 5¢ | 12¢ | — | $0 | Trade → |
| George Mason wins by over 4.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
| VCU wins by over 17.5 Points | 0% | 26¢ | 30¢ | — | $0 | Trade → |
| George Mason wins by over 1.5 Points | 0% | 9¢ | 15¢ | — | $0 | Trade → |
| VCU wins by over 14.5 Points | 0% | 36¢ | 39¢ | — | $0 | Trade → |
| VCU wins by over 23.5 Points | 0% | 10¢ | 15¢ | — | $0 | Trade → |
This market lets traders bet on the point-spread outcome for the college basketball game George Mason at VCU; it matters because the spread encodes the market’s collective view of how closely contested the game will be.
VCU and George Mason are mid‑major programs with differing styles; VCU historically emphasizes pressure defense and tempo control while George Mason’s performance depends on roster continuity and shooting consistency. Conference alignment, recent schedules, and coaching matchups can shift expectations from week to week, so context matters more than single-game reputation.
In a spread market, each outcome corresponds to a range of final margins; market prices reflect traders’ aggregated beliefs and update as new information (injuries, lineups, odds from books) arrives. Use price movement and liquidity as signals, but pair them with independent game analysis.
The market close is listed as TBD on the event page; trading typically ends shortly before tipoff with the platform posting a final cutoff—check the market page or platform notifications for the official close time.
They usually represent discrete margin bands or specific spread thresholds (for example, win by X points, lose by Y points, or ranges); each outcome is resolved if the final game margin falls within that band—refer to the market’s outcome descriptions for exact bands.
An injury to a starter can materially change expected margin by altering minutes distribution, matchup strength, and rotation; markets often react quickly, so assess the injury’s expected minutes lost, the replacement’s track record, and any strategic adjustments the coach may make.
Home court typically confers an advantage through crowd influence, familiar surroundings, and travel burden on the visitor; for spreads, that can compress the chance of the visiting team covering large margins and increase probability mass around home‑favored bands.
Head‑to‑head history can highlight matchup patterns, but its relevance depends on roster turnover and coaching changes—prior games are most informative when rosters and styles are similar; emphasize recent matchups and situational similarities (home/away, injuries) over distant results.