| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Mississippi St. | 4% | 3¢ | 4¢ | — | $66K | Trade → |
| Florida | 98% | 97¢ | 98¢ | — | $33K | Trade → |
This market covers the outcome of the Mississippi St. at Florida college football game on KALSHI, letting traders express expectations about which team will win. It matters because market prices aggregate real‑time information (injuries, weather, lineups) that can move around kickoff and during pregame news cycles.
Mississippi State and Florida meet as members of the Southeastern Conference, a league known for high stakes late‑season games and strong regional rivalries. Historical matchups, coaching philosophies, quarterback play, and home‑field advantage in Gainesville all shape expectations heading into this specific contest.
Market prices reflect the crowd’s aggregated view of likely outcomes and will update as new information arrives; higher volume generally means prices are incorporating more trader information. Treat prices as a snapshot of collective expectations, not guarantees — they can move quickly with news like injury reports or weather changes.
The market resolves based on the official game result as recorded by the event’s reporting authority (usually the schools, conference, or NCAA); the declared winner at final whistle determines which outcome pays.
Closure timing is set by KALSHI’s event rules and is typically tied to the official start of the game; because the listing shows 'Closes: TBD', check the platform for the announced close time and any last‑minute updates.
Late‑breaking injury reports for key positions—especially quarterbacks, offensive linemen, or top defenders—can materially change expectations; monitor official team releases and pregame injury reports, as traders will often reprice the market quickly after such news.
Look at recent head‑to‑head results, trends in each program’s performance in SEC play, and how each team has fared in similar situational games (home vs. road, vs. strong rush/pass teams); stylistic contrasts and coaching continuity often carry predictive value.
Resolution policy depends on KALSHI’s rules for event disruptions: typically the platform will specify conditions under which markets void, freeze, or push to a later resolution date; consult the event’s official rule page for the exact protocol.