| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Stanford wins by over 2.5 Points | 44% | 43¢ | 44¢ | — | $5K | Trade → |
| Notre Dame wins by over 1.5 Points | 46% | 45¢ | 46¢ | — | $2K | Trade → |
| Notre Dame wins by over 4.5 Points | 35% | 35¢ | 36¢ | — | $653 | Trade → |
| Notre Dame wins by over 10.5 Points | 14% | 13¢ | 17¢ | — | $2 | Trade → |
| Notre Dame wins by over 13.5 Points | 0% | 6¢ | 11¢ | — | $0 | Trade → |
| Stanford wins by over 14.5 Points | 0% | 6¢ | 11¢ | — | $0 | Trade → |
| Stanford wins by over 11.5 Points | 0% | 14¢ | 18¢ | — | $0 | Trade → |
| Stanford wins by over 5.5 Points | 0% | 31¢ | 37¢ | — | $0 | Trade → |
| Notre Dame wins by over 16.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| Stanford wins by over 8.5 Points | 0% | 22¢ | 26¢ | — | $0 | Trade → |
| Notre Dame wins by over 7.5 Points | 0% | 21¢ | 25¢ | — | $0 | Trade → |
| Stanford wins by over 16.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
This market trades the point-spread outcome for the Stanford at Notre Dame game, letting traders express views on the margin of victory. It matters because spread prices aggregate real-time information about team strength, injuries, and game conditions.
Notre Dame typically benefits from strong home-field support and a history of competitive seasons, while Stanford has been known for disciplined, physical football and detailed game planning. Matchups between these programs often hinge on quarterback play, rushing success, and defensive adjustments. Travel, roster turnover, and coaching changes in recent years mean current-season form is more relevant than old results.
Market prices indicate the consensus about which spread interval is most likely to occur; prices move as traders react to news and information. Use prices as a dynamic signal of market expectations rather than fixed predictions.
The close time is listed as TBD; most point-spread markets close at or shortly before kickoff, but check the market page for the final posted close time.
The 12 outcomes correspond to discrete spread brackets or margin ranges for the final score; the market page lists the exact bracket labels so you can see which margin each outcome covers.
A late injury to a key player like a starting QB usually triggers rapid price movement as traders re-evaluate the expected margin; the market will incorporate the change once the news is public and confirmed.
Head-to-head history provides context on matchup tendencies, but roster turnover, coaching changes, and current-season performance are generally more informative for forecasting the spread.
Fast swings typically reflect new information (injuries, weather updates, large bets) and shifts in liquidity; they indicate changing consensus but also increase execution risk, so verify underlying news before acting.