| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market forecasts where the combined final score (total points) of the Dayton at VCU game will land across the listed outcomes on KALSHI. It matters for traders and sports fans who want to express a view on game tempo, offense, and defense without betting on a winner.
Dayton and VCU are NCAA basketball programs with differing recent tendencies in scoring and tempo; matchup context (conference schedules, styles of play) influences expected combined scoring. Historical head-to-head results and season-long offensive/defensive trends provide useful context, but game-to-game factors like rotations and availability often drive actual totals.
Market odds represent the consensus view of participants about the likely range for the combined score and will move as new information arrives. Use them as a snapshot of market expectations rather than a fixed prediction.
The listed close is currently TBD; on most platforms trading closes at or shortly before the scheduled tip-off unless the platform specifies otherwise. Check KALSHI or the event page for the final close time.
The 11 outcomes are discrete score-range buckets that partition possible combined final scores; the market settles to the single bucket that contains the actual combined total at game end.
Injuries to primary scorers, playmakers, or key defenders can substantially alter expected scoring by shifting shot attempts, offensive efficiency, and pace. Last-minute lineup news is often the most market-moving information for totals.
Compare each team’s season and recent possessions-per-game and points-per-possession to identify tempo and efficiency shifts; trending increases or decreases in offensive output over the past several games are more informative than a single outlier performance.
A large trade often signals new information (e.g., injury, lineup change, coach comment) or a strong conviction by an informed participant; it’s a prompt to check official team news and game-day reports before adjusting your position.