| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 125.5 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 → |
| Over 149.5 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 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on the combined final score (total points) of the college basketball game Georgetown at UConn. It matters because total-points markets aggregate expectations about pace, shooting, and game script and move as new information arrives.
Georgetown and UConn are long-standing programs in the same conference; UConn has been a national contender in recent cycles while Georgetown has experienced more variable results. Matchups between these teams can show large swings in scoring depending on pace, defensive matchups, and roster availability, so historical context and recent form both matter.
Market prices reflect the crowd’s expectation about which of the discrete total-point outcomes will occur; price movement signals how new information (injuries, lineups, odds moves) shifts that expectation. Treat prices as real-time consensus signals, not guarantees.
This market is split into 11 discrete outcomes that each correspond to a range of combined team points; check the KALSHI market page for the exact point ranges and settlement mapping.
The market’s close is listed as TBD; typically such markets lock just before tip-off or when official lineups are posted, so monitor the KALSHI page for the announced close time.
Whether overtime counts is determined by the market’s contract terms on KALSHI; many basketball totals specify inclusion or exclusion of overtime, so confirm the contract rules on the event page before trading.
Use head-to-head games to identify matchup-driven tendencies (pace, defensive weaknesses), but adjust for roster turnover, coaching changes, and current-season form — historical totals are helpful context but not definitive predictors.
Settlement in the event of postponement or cancellation follows KALSHI’s terms: the platform will announce whether the market will be settled based on the rescheduled game, voided, or otherwise adjudicated; check the event’s rules and KALSHI announcements for the final decision.