| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 64.5 1H points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Over 61.5 1H points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Over 79.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 73.5 1H points scored | 0% | 42¢ | 48¢ | — | $0 | Trade → |
| Over 70.5 1H points scored | 0% | 54¢ | 60¢ | — | $0 | Trade → |
| Over 85.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 82.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 76.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 67.5 1H points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
This market asks which first-half total range the Southern University vs Alabama State game will fall into; it matters because first-half scoring drives live decisions for traders and reflects each team’s early-game execution.
Southern University and Alabama State are conference rivals with varying styles that can produce different first-half scoring dynamics from year to year. First-half totals are influenced by roster availability, coaching choices for starter minutes, and how each program prefers to start games; this specific market currently lists nine discrete outcomes and closes TBD on KALSHI.
Market prices reflect the consensus view of participants about expected first-half scoring and will move as new information arrives (injuries, starting lineups, weather, etc.). Treat prices as a real-time summary of market sentiment rather than a fixed forecast.
The market close time is listed as TBD on the event page; KALSHI markets like this typically close before the game or at the first-half tip—check the KALSHI event page for the official close time. The outcome is determined by the official first-half score as defined in the market’s settlement rules.
The nine outcomes correspond to specific discrete first-half total ranges or brackets offered by the market. Each outcome settles based on whether the combined points in the first half fall within that bracket; consult the event page for the exact bracket definitions and settlement method.
Late injuries or starter changes can materially shift expectations for first-half scoring—loss of a primary scorer or playmaker typically lowers expected totals, while a healthy returning starter can raise them. The market often adjusts quickly as traders incorporate official pregame reports and coach confirmations.
KALSHI will settle using the official game statistics designated in the market rules—typically the league’s official box score or official scorer’s halftime total. Check the market’s settlement rules on KALSHI for the exact data source and tie-breaking procedures.
Historical head-to-head and recent season first-half trends provide helpful context (for example, whether games tend to open slowly or with quick scoring), but they should be combined with current-season pace metrics, matchup specifics, and up-to-date injury/lineup information rather than relied on alone.