| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| North Carolina St. wins by over 7.5 Points | 57% | 52¢ | 59¢ | — | $277 | Trade → |
| Pittsburgh wins by over 2.5 Points | 18% | 17¢ | 18¢ | — | $19 | Trade → |
| Pittsburgh wins by over 5.5 Points | 9% | 9¢ | 18¢ | — | $5 | Trade → |
| North Carolina St. wins by over 10.5 Points | 37% | 41¢ | 47¢ | — | $1 | Trade → |
| North Carolina St. wins by over 13.5 Points | 0% | 30¢ | 33¢ | — | $0 | Trade → |
| Pittsburgh wins by over 8.5 Points | 0% | 4¢ | 12¢ | — | $0 | Trade → |
| North Carolina St. wins by over 1.5 Points | 0% | 70¢ | 75¢ | — | $0 | Trade → |
| North Carolina St. wins by over 16.5 Points | 0% | 20¢ | 24¢ | — | $0 | Trade → |
| North Carolina St. wins by over 19.5 Points | 0% | 12¢ | 20¢ | — | $0 | Trade → |
| North Carolina St. wins by over 22.5 Points | 0% | 6¢ | 13¢ | — | $0 | Trade → |
| North Carolina St. wins by over 4.5 Points | 0% | 62¢ | 66¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome of the college football game played at North Carolina State between Pittsburgh and NC State. Spread markets matter because they aggregate market views about the likely margin of victory and react to game-day information.
Pittsburgh (Panthers) and North Carolina State (Wolfpack) are collegiate programs whose matchups are influenced by conference scheduling, coaching styles, and roster turnover. Because this market references a game at NC State, home-field factors, travel, and recent team form are especially relevant.
Market prices here reflect the community’s assessment of which spread bracket the final margin will fall into and will move as new information (injuries, weather, lineups) arrives. Treat prices as a dynamic signal, not a guarantee of outcome.
The listed close is TBD; typically the market closes at or shortly before kickoff and is settled using the official final score for the game. If the game goes into overtime, settlement uses the official final margin after overtime; cancellations, postponements, or voided contests are handled per the platform’s market rules.
The 11 outcomes divide possible final-margin results into discrete brackets; each outcome wins if the game’s final margin falls inside that bracket. The platform displays which margin ranges correspond to each outcome so traders can pick the bracket they expect.
Total volume is a measure of liquidity and interest; relatively low volume like $302 can mean prices are more sensitive to new trades and information, while higher volume generally indicates stronger market consensus and deeper liquidity.
Late injury reports and lineup announcements often move the market, with the magnitude depending on the position and importance of the player (e.g., starting quarterback vs. role player). Traders typically update positions quickly after authoritative reports, so expect increased volatility around those updates.
Venue changes and postponements materially affect spread evaluation because home-field advantage and travel dynamics change; the market will reflect those effects once the change is official, and final settlement will follow the platform’s rules regarding rescheduled or relocated games.