| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| VCU wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which spread bucket will apply to the Dayton at VCU game, letting traders express views on the likely margin of victory. It matters because spread markets consolidate public and informed expectations about the game's competitiveness.
Dayton and VCU are conference opponents with contrasting styles — Dayton often emphasizes structured offense while VCU typically stresses defense and tempo control at home. The game will be played at VCU’s home arena, which historically influences outcomes; short travel for Dayton reduces extreme travel disadvantages. Market close is listed as TBD, so timing and available information may change up to the game.
Market prices indicate how traders collectively value each spread outcome and will move as new information (injuries, lineups, betting flow) arrives. Treat current prices as a snapshot of sentiment, not a fixed prediction, and check the market periodically until it closes.
The event lists the close as TBD; typically spread markets close shortly before game start. Settlement is based on the official final margin reported by the event organizer (confirm whether overtime is included in the market terms).
The 11 outcomes correspond to discrete point-differential buckets around the spread (e.g., VCU wins by a range, Dayton wins by a range, and intermediate margins). Check the market description for the exact bucket definitions used to determine which margin maps to each outcome.
Injuries and late lineup updates are high-impact information for the spread. Markets often move quickly on official team releases, coach statements, and verified injury reports, so monitor team updates and trade or adjust positions after confirmations.
Home-court tends to matter through crowd influence, familiarity with the floor, and travel fatigue for the visitor; the magnitude varies by matchup and season context. Consider how each team historically performs at home versus away and any travel/rest differentials before the game.
Zero or very low volume indicates limited liquidity and higher price sensitivity to individual trades or news. Expect wider effective costs, potential volatility, and the possibility that prices reflect few participants; consider smaller stake sizes or waiting for more activity and confirmed information.