| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Notre Dame wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Notre Dame wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Notre Dame wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which side will cover the point spread in the Notre Dame at Ohio St. game; it matters because spreads summarize market expectations about the likely margin and are used by bettors and observers to track evolving views on the matchup.
Notre Dame and Ohio State are high-profile college football programs whose meetings draw national attention; Ohio State typically plays in a large home stadium, creating a strong home-field environment, while Notre Dame brings an independent national schedule and unique matchups. Historical results, current-season form, injuries, and coaching styles all shape expectations for this specific game and therefore the spread.
Market odds and prices represent the collective assessment of how likely each side is to cover the spread and will move as new information arrives — for example, injury reports, lineup changes, weather forecasts, and betting flow. Treat the market price as a snapshot of consensus sentiment that can change up to market close.
The event listing shows the close as TBD; on this platform markets for single games typically close at or shortly before kickoff, but exact timing can vary — check the market page for updates as the game approaches.
A confirmed starter injury usually moves the market quickly: bettors and traders reassess scoring expectations, game-script outcomes, and play-calling; the market will reflect that new assessment as liquidity responds to the news.
Yes — Ohio State’s stadium, crowd, travel for Notre Dame, and familiarity with local conditions are all factored into pre-game expectations and therefore the spread; home advantage is an ongoing influence that traders price in before other news arrives.
Late injury reports, confirmations of key player availability or suspension, significant weather updates, sudden roster changes, and large or lopsided betting flows are the events most likely to shift the spread.
Historical meetings provide context on style matchups and coaching tendencies but each season differs — use past games to understand matchup patterns and situational tendencies, while prioritizing current-season form, injuries, and roster status for the immediate spread.