| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UConn wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Georgetown wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 28.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 22.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 25.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how the point spread will fall for the Georgetown at UConn college basketball game; it matters because the spread encodes collective expectations about the expected margin of victory and is useful for comparing opinions and information about the matchup.
Georgetown and UConn are NCAA programs with different recent trajectories, roster strengths, and coaching styles; UConn is playing at home in this listing, which is an important contextual detail. Seasonal factors such as nonconference scheduling, injury trends, and roster turnover from year to year all shape how this matchup is perceived.
Market prices are an aggregated, continuously updated reflection of participant expectations about the spread and will move as new information (injuries, starting lineups, weather/venue issues) becomes available; they summarize consensus belief but are not guarantees of the actual outcome.
The market's close time is listed as TBD; typically the market will close before tipoff according to KALSHI's schedule or at the official start time once set—check the market page for the final closing timestamp.
The 11 outcomes correspond to distinct spread resolution buckets (specific margin ranges, covering/pushing outcomes, or point-differential bands) defined on the market page; consult the outcome descriptions there to see the exact margin ranges used for settlement.
Home-court typically favors the host through crowd influence, travel fatigue for the visitor, and familiarity with the arena; those effects are commonly reflected in how the spread outcomes are priced.
Late availability news is often the most market-moving information for a spread market—monitor official team announcements and trusted reporters; prices will usually adjust quickly once credible updates about starters or injuries are released.
Resolution follows KALSHI's published rules and the specific market's terms: some markets are voided and funds returned, others are settled using alternate criteria; check KALSHI's resolution policy and the market page for the definitive procedure in that scenario.