| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Davidson wins by over 4.5 Points | 45% | 45¢ | 47¢ | — | $156 | Trade → |
| Davidson wins by over 1.5 Points | 59% | 56¢ | 58¢ | — | $24 | Trade → |
| Saint Joseph's wins by over 8.5 Points | 0% | 12¢ | 19¢ | — | $0 | Trade → |
| Saint Joseph's wins by over 5.5 Points | 0% | 19¢ | 25¢ | — | $0 | Trade → |
| Davidson wins by over 10.5 Points | 0% | 22¢ | 29¢ | — | $0 | Trade → |
| Saint Joseph's wins by over 2.5 Points | 0% | 29¢ | 35¢ | — | $0 | Trade → |
| Davidson wins by over 16.5 Points | 0% | 9¢ | 16¢ | — | $0 | Trade → |
| Davidson wins by over 19.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
| Saint Joseph's wins by over 11.5 Points | 0% | 6¢ | 13¢ | — | $0 | Trade → |
| Davidson wins by over 7.5 Points | 0% | 33¢ | 39¢ | — | $0 | Trade → |
| Davidson wins by over 13.5 Points | 0% | 15¢ | 22¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome of the college basketball game Saint Joseph's at Davidson. It matters because spread markets aggregate real-time expectations about the final margin and react quickly to game-day information.
Saint Joseph's and Davidson meet in a single-game matchup during the college basketball season; Davidson is the home team, which can be an important edge in college hoops. Historical matchups, roster construction, and recent form for each program shape expectations, and those factors tend to be incorporated into prices as news arrives.
In a spread market each selectable outcome corresponds to a range of final margins; market prices express collective beliefs about which margin bucket will contain the final result. Prices change as bettors update their views in response to injuries, lineups, and in-game developments.
This market lists 11 distinct outcomes; each corresponds to a specific point-margin bucket (for example, ranges favoring Davidson or Saint Joseph's by various margins). The market resolves to the single outcome whose bucket contains the final margin after the game ends.
The event page shows the market closing time as TBD — typically spread markets close at scheduled tip-off. Resolution occurs based on the official final score (including overtime if the platform's rules specify) once the game concludes; check the platform for the confirmed close and resolution timestamps.
Significant roster changes tend to move prices quickly because they alter expected margins; traders evaluate the impact based on the affected player's role, expected minutes, and the team's depth. Minor or uncertain reports often produce smaller, more gradual price adjustments.
Resolution in those situations follows the platform's official event-resolution policy. Commonly, if no official final score is produced within the platform's resolution window, contracts are voided and positions refunded; consult KALSHI's rules on the event page for the precise procedure.
Before tip-off track final injury reports, confirmed starting lineups, travel or rest issues, and bookmaker lines; during the game monitor early pace, foul trouble to key players, unexpected rotations, and how quickly the market is trading (volume), since low liquidity can amplify price swings.