| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| South Carolina wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 24.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 27.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 30.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Carolina wins by over 33.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market concerns how the point spread will resolve in the college football game Oklahoma at South Carolina. It matters because spread outcomes capture market expectations about the margin of victory and concentrate betting views on which team will cover.
Oklahoma and South Carolina are FBS programs with differing styles, roster compositions, and recent form that influence expected margins. Historical meetings between these programs may be infrequent, so game-specific factors — such as current season performance, injuries, and matchup nuances — tend to drive market movement. The market aggregates trader reactions to pregame reports and game-day developments.
Market prices represent the collective view about which side will cover the listed spread and how new information shifts that view. To interpret prices here, compare the market’s quoted outcomes to the posted spread and read the outcome labels and resolution rules on the market page.
The market close time is listed as TBD on the event page, so check the market for updates. Platforms typically close spread markets before kickoff or at a platform-specified cutoff; trades placed after close will not affect settlement, so monitor the listed close time and any last-minute changes.
The 11 outcomes represent discrete spread outcomes or margin buckets for this Oklahoma at South Carolina matchup. Each outcome corresponds to a specific margin range or condition defined on the market page, so review those labels and the resolution criteria to know which exact margins map to each outcome.
Many spread markets use the official final score, which includes overtime unless the market states otherwise. Confirm the market’s resolution rules on the event page to see whether final score including overtime is used for settlement.
Confirmation that a starter (for either Oklahoma or South Carolina) will or will not play typically triggers rapid price movement, as it materially changes expected scoring margins. The market reacts to the replacement player’s experience, coaching adjustments, and broader roster implications, and those moves can be larger in low-liquidity conditions.
A recorded volume of $0 indicates no trades have yet been executed, implying low current liquidity. Low liquidity can produce wider bid-ask spreads and higher slippage for new trades, so traders should be cautious, watch for incoming news that could shift prices, and check for increasing volume before taking large positions.