| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UCF wins by over 9.5 Points | 51% | 48¢ | 51¢ | — | $2K | Trade → |
| UCF wins by over 6.5 Points | 60% | 60¢ | 62¢ | — | $828 | Trade → |
| UCF wins by over 12.5 Points | 39% | 35¢ | 40¢ | — | $73 | Trade → |
| UCF wins by over 3.5 Points | 69% | 69¢ | 75¢ | — | $7 | Trade → |
| UCF wins by over 15.5 Points | 23% | 25¢ | 31¢ | — | $1 | Trade → |
| UCF wins by over 24.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
| Oklahoma St. wins by over 6.5 Points | 0% | 5¢ | 12¢ | — | $0 | Trade → |
| Oklahoma St. wins by over 3.5 Points | 0% | 11¢ | 17¢ | — | $0 | Trade → |
| Oklahoma St. wins by over 1.5 Points | 0% | 14¢ | 21¢ | — | $0 | Trade → |
| UCF wins by over 18.5 Points | 0% | 15¢ | 22¢ | — | $0 | Trade → |
| UCF wins by over 21.5 Points | 0% | 9¢ | 15¢ | — | $0 | Trade → |
This market lets traders speculate on the point-spread outcome for the college football game Oklahoma St. at UCF; it matters because spread markets aggregate public information and can highlight how expectations about the matchup change as new data arrives.
The market covers a single neutral event: Oklahoma State visiting UCF to play a regulated spread market with multiple discrete outcomes. Historical head-to-head history between these programs may be limited, so pregame form, matchup quirks, and roster changes often dominate market pricing. The market is hosted on KALSHI and currently lists 11 distinct spread outcomes with trading volume visible on the platform.
Prices in this spread market represent how traders allocate belief across different margin outcomes; higher prices on an outcome indicate stronger market support for that range of final margins, and changes in prices over time show how new information is being incorporated into expectations.
The event listing shows the close time as TBD; KALSHI typically sets a final close before kickoff or at a time specified on the platform, so check the market page for the official close time and any last-minute changes.
Each of the 11 outcomes corresponds to a specific point-margin category or side-of-spread result defined by the market creator; review the outcome labels on the market page to see the exact margin ranges or cover/non-cover definitions being traded.
Monitor official injury reports, starter confirmations, and team beat reporters closely; because spread markets are sensitive to lineup changes, traders often adjust positions or hedge into adjacent outcomes when late news affects expected margin.
Home-field at UCF can affect crowd noise, travel distance and recovery for Oklahoma State, and familiarity with local conditions for UCF; the magnitude of that effect depends on roster health, travel logistics, and how each team historically performs away or at home.
Price shifts across the 11 outcomes indicate where traders are concentrating belief about final margins; concentrated buying into a particular outcome or a quick reallocation of volume often signals that market participants have reacted to new information (injuries, weather, matchup analysis) relevant to this game.