| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks how many combined points will be scored in the Saint Joseph's at VCU game by offering discrete total-points outcomes. It matters because the market aggregates real-time expectations about scoring based on injuries, matchups, and tempo.
VCU and Saint Joseph's are NCAA basketball programs with different historical profiles: VCU has often emphasized aggressive defense and high-pressure schemes while Saint Joseph's has leaned on halfcourt offense and guard play — those stylistic tendencies shape scoring expectations. Head-to-head history, venue (home court), and recent form all feed into how traders assess the likely combined point total. The market reflects evolving information such as confirmed starters, injuries, and announced game plans.
Market prices reflect the crowd's assessment of which total-points ranges are most likely, and they move as new information arrives (injuries, starter announcements, tempo signals). Interpret prices as a real-time consensus signal, not a guarantee of outcome.
Markets like this typically lock at the official scheduled tipoff for the game; if the listing shows 'Closes: TBD', Kalshi will update the event page with the precise lock time. Trades are not accepted after the market locks.
The 11 outcomes are discrete buckets that cover specified ranges or thresholds of combined final points for the game. The exact point intervals for each outcome are defined in the market contract—check the event description on Kalshi to see the precise ranges.
Many basketball total-points markets include overtime unless the contract explicitly excludes it. Verify the event terms on the Kalshi page to confirm whether overtime is counted for this specific market.
A confirmed late injury typically shifts expectations because it changes scoring and defensive matchups; the market tends to react quickly as traders incorporate official injury reports and announced lineups into prices.
Estimate each team’s recent possessions per game and combine that with offensive and defensive efficiency to form an expected combined score. Adjust for matchup-specific factors—pressing defenses, offensive rebound rates, and whether key tempo-driving players are available—to refine your view.