| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| South Florida wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 26.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 29.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 23.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express expectations about the point-spread outcome for the college football game between Charlotte (49ers) and South Florida (Bulls). It matters because spread markets aggregate pregame views about margin of victory, team strength, and game conditions.
Charlotte and South Florida are FBS programs with differing histories and recent roster turnover; matchups between them can hinge on coaching continuity, quarterback stability, and familiarity with conference opponents. The game is played at South Florida’s home stadium, so travel, climate, and local conditions can be relevant background factors that influence matchup dynamics.
In a spread market, each outcome reflects a particular margin-of-victory range; market prices signal how participants collectively view which margins are most likely. Prices are dynamic and update as new information (injuries, lineup changes, weather, public bets) arrives.
The market will typically close at the official scheduled kickoff for the Charlotte at South Florida game or earlier if the platform announces a different cutoff; check the market page or platform notices for the final close time.
Each outcome corresponds to a specific point-spread range or exact margin bucket (for example, team A wins by X points, team B wins by Y points); consult the market outcome labels to see the exact spreads each option represents.
A late starter change usually has an outsized impact: consider the backup’s recent game reps, mobility and decision-making, how the offense might simplify play-calling, and how that affects expected scoring margin and volatility.
Home-field advantage is one of several inputs traders use; factors include travel distance for Charlotte, local weather, crowd size and composition, and any documented home/away performance splits for the teams.
Settlement depends on platform rules: many platforms require the game to be played to official completion to settle spread markets, while others may void or pause markets if the game is postponed beyond a specified window; review KALSHI’s market settlement policies or the event page for specifics.