| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 131.5 points scored | 56% | 53¢ | 56¢ | — | $2K | Trade → |
| Over 134.5 points scored | 45% | 45¢ | 47¢ | — | $655 | Trade → |
| Over 128.5 points scored | 61% | 59¢ | 64¢ | — | $23 | Trade → |
| Over 137.5 points scored | 39% | 35¢ | 41¢ | — | $4 | Trade → |
| Over 152.5 points scored | 9% | 9¢ | 15¢ | — | $3 | Trade → |
| Over 149.5 points scored | 0% | 13¢ | 17¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 17¢ | 23¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 22¢ | 27¢ | — | $0 | Trade → |
| Over 125.5 points scored | 0% | 65¢ | 71¢ | — | $0 | Trade → |
| Over 117.5 points scored | 0% | 80¢ | 86¢ | — | $0 | Trade → |
| Over 122.5 points scored | 0% | 71¢ | 77¢ | — | $0 | Trade → |
| Over 120.5 points scored | 0% | 75¢ | 82¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 29¢ | 35¢ | — | $0 | Trade → |
This market lets traders take positions on the combined points scored in the Georgetown at DePaul game (the Total Points). It matters because total-point markets aggregate expectations about pace, shooting and game flow into tradable outcomes for bettors and analysts.
Georgetown and DePaul are college basketball programs with distinct recent trajectories and roster changes that affect scoring profiles; both teams have played each other in conference contexts and nonconference matchups historically. Differences in coaching, tempo and roster turnover mean past scores are informative but not determinative for a single-game total.
Market prices for each total outcome represent how traders collectively value different scoring ranges; they are indicators of consensus expectations and react to new information (injuries, starting lineups, travel, etc.), but they do not guarantee any one result.
The listing currently shows a TBD close; on most ticketed markets the market closes shortly before game tip-off. Confirm the exact close time on the KALSHI market page before placing trades.
Those outcomes correspond to multiple discrete total-point thresholds or ranges offered by the platform (for example different over/under cutoffs or buckets). Check the market interface for the exact point targets for each outcome.
Late injuries and lineup announcements can materially change expected scoring; markets typically react quickly, so monitor official team reports and the platform’s live market updates before trading.
Head‑to‑head history provides context on matchup tendencies, but sample sizes and roster/coaching turnover reduce its predictive power; combine historical patterns with current-season form, injuries and tempo metrics for a fuller view.
Resolution rules vary by market; some totals count only regulation and others include overtime. Check the KALSHI market’s rules and settlement description for this specific Georgetown at DePaul listing.