| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| VCU wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saint Joseph's wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saint Joseph's wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saint Joseph's wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VCU wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market settles on which point-spread outcome will occur for the Saint Joseph's at VCU game; it matters because spread outcomes reflect expected margin and guide traders who want exposure to the likely game margin.
Saint Joseph's and VCU are conference opponents with a history of competitive matchups; roster turnover, coaching styles, and recent form can change team strengths year to year. The game setting (VCU at home) and timing relative to the season (nonconference vs conference play, regular season vs tournament) provide important context for how each team matches up.
Market prices represent the aggregated market view about which spread outcome will occur; interpret those prices as one signal among injury reports, lineups, matchup analytics, and public betting flows when forming a trading decision.
The official close time is listed on the KALSHI market page and is currently TBD; markets like this commonly lock shortly before the scheduled tipoff, so check the event page for the exact lock time.
Each outcome corresponds to a distinct spread interval or specific margin outcome for the game (for example, ranges favoring VCU or Saint Joseph's); consult the market's outcome labels on the platform to see the exact mapping.
Late injury or rotation news can materially change the expected margin; monitor official pregame reports and adjust exposure or wait until prices reflect the new information before trading.
Head-to-head history can provide context, but weigh it against roster changes, coaching, and recent performance — older results matter less if key players or coaches have changed since those games.
Low volume can mean limited liquidity and larger price impact for trades; expect prices to move more on relatively small orders and review the order book and potential slippage before placing sizable positions.