| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 145.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 166.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 163.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 157.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 160.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Over 133.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Over 139.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Over 136.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Resolved |
This market lets traders express expectations for the combined points scored by Saint Joseph's and California in their game; it matters because total-points markets aggregate views about pace, shooting, and game flow into a single tradeable instrument.
This is a college basketball matchup with California hosting Saint Joseph's—home-court factors, travel from the East Coast, and each team's season-long offensive and defensive trends will shape scoring expectations. The market currently shows low trading volume and the close time is listed as TBD; actual trading typically ends before tip-off once the schedule and lineups are final.
Market prices reflect the relative market interest in each total-points outcome and update as new information arrives; traders should interpret movements as shifts in collective expectations about how many combined points the game will produce.
The listed close time is TBD; markets like this typically close shortly before the official game start once tip-off is finalized and lineups are posted. Check the contract page for the exact final close time as the event approaches.
The 11 outcomes are different mutually exclusive total-point buckets or thresholds that partition possible combined scores; consult the contract description on the event page to see the exact point ranges or cutoff values for each outcome.
That depends on the specific contract rules for this event—some total-points markets include overtime scoring and others exclude it—so verify the event’s rule text on the KALSHI contract page before trading.
Late injuries or lineup changes typically shift expectations quickly: losing a primary scorer tends to lower expected totals, while losing a defensive anchor can raise them. Liquidity and trader attention determine how fast and how far prices adjust.
Head-to-head history can provide context about matchup tendencies, but current-season metrics—recent scoring trends, pace, roster health, and coaching strategies—are generally more informative for forecasting the combined points in this specific game.