| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| North Carolina St. wins by over 4.5 Points | 3% | 59¢ | 65¢ | — | $2 | Trade → |
| Stanford wins by over 20.5 Points | 0% | 3¢ | 5¢ | — | $0 | Trade → |
| Stanford wins by over 5.5 Points | 0% | 9¢ | 18¢ | — | $0 | Trade → |
| Stanford wins by over 23.5 Points | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| North Carolina St. wins by over 7.5 Points | 0% | 51¢ | 55¢ | — | $0 | Trade → |
| Stanford wins by over 8.5 Points | 0% | 4¢ | 12¢ | — | $0 | Trade → |
| Stanford wins by over 2.5 Points | 0% | 18¢ | 25¢ | — | $0 | Trade → |
| Stanford wins by over 17.5 Points | 0% | 3¢ | 5¢ | — | $0 | Trade → |
| Stanford wins by over 14.5 Points | 0% | 3¢ | 7¢ | — | $0 | Trade → |
| Stanford wins by over 11.5 Points | 0% | 3¢ | 8¢ | — | $0 | Trade → |
| North Carolina St. wins by over 1.5 Points | 0% | 68¢ | 75¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur in the Stanford at North Carolina St. game; it matters because spread markets capture expectations about the margin of victory, not just who wins. Traders use these markets to express views on competitiveness and matchup-specific advantages.
Stanford and North Carolina State matchups combine team-level trends (offense/defense balance, coaching style) with game-specific variables like injuries and travel. Spread markets for a single game condense diverse information — lineup news, weather, and betting-market moves — into tradable outcomes that update as new facts arrive.
Market prices for spread outcomes reflect how participants collectively value different margin intervals and will move as new information comes in. Use them as a real-time signal of consensus sentiment, but complement prices with independent assessment of matchup factors.
The event listing shows the close time as TBD; typically markets close at or just before game kickoff. Check the market page for the official close time and any platform announcements.
The outcomes usually map to discrete point-margin intervals or specific spread ranges (for example, different bands of how many points one team wins by). Refer to the market’s outcome list on the platform for the exact definitions of each option.
Low volume indicates limited liquidity and that current prices may reflect very few trades; prices can be volatile and may not represent broad consensus, so treat them with caution and corroborate with external information.
Late injury reports, an announced starting quarterback or major lineup change, depth-chart releases, and coach statements about game plan or player availability are the developments most likely to shift spread outcomes.
Head-to-head results provide useful context but are often a small sample and can be outweighed by current-season factors like roster turnover, injuries, and recent performance metrics; prioritize recent, team-specific data when assessing this spread.