| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Arkansas wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arkansas wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arkansas wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arkansas wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arkansas wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arkansas wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arkansas wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders buy and sell outcomes tied to the point-spread result for the Oklahoma at Arkansas college football game; it aggregates market expectations about the game's margin and is useful for expressing a forecast or hedging exposure.
Oklahoma and Arkansas are college programs whose matchup draws attention because of conference alignment and regional recruiting overlap; game outcomes typically depend on quarterback play, offensive tempo, and complementary defense. Roster turnover and coaching changes make recent-season indicators, injury reports, and matchup-specific metrics more relevant than long-ago results.
In a spread market each discrete outcome corresponds to a range of final margins; market prices move as participants incorporate new information such as injuries, lineup announcements, and weather into their expectations.
Close time is listed as TBD; typically KALSHI and similar platforms close spread markets at the game's scheduled kickoff or when official lineups lock, but the platform may set an exact closing time or pause trading earlier for significant game-status changes, so check the market page for updates.
The ten outcomes correspond to distinct point-margin intervals covering possible final margins (for example, wide wins by either team, narrow wins, or exact ranges); the market description on KALSHI defines the exact intervals and which interval pays based on the final score differential.
Confirmed late injuries or a starter change typically shift expectations for offensive efficiency and play-calling, causing rapid price movement across the spread intervals; the magnitude of the shift depends on the player's role and timing of the announcement relative to kickoff.
Head-to-head history provides context on matchup tendencies and coaching familiarity, but college rosters turn over frequently, so participants commonly prioritize current-season performance, injury reports, and matchup-specific analytics over distant past results.
Yes—traders often use spread intervals to hedge exposure from moneyline or prop positions by taking outcome ranges that offset their current risk; because liquidity can change and prices can move quickly around lineup or weather news, plan entry and exit points in advance and monitor announcements for these teams.