| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Ohio St. wins by over 7.5 Points | 51% | 51¢ | 53¢ | — | $4K | Trade → |
| Ohio St. wins by over 13.5 Points | 25% | 25¢ | 30¢ | — | $152 | Trade → |
| Ohio St. wins by over 4.5 Points | 64% | 59¢ | 65¢ | — | $136 | Trade → |
| Ohio St. wins by over 10.5 Points | 41% | 35¢ | 41¢ | — | $45 | Trade → |
| Penn St. wins by over 8.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
| Penn St. wins by over 5.5 Points | 0% | 11¢ | 15¢ | — | $0 | Trade → |
| Ohio St. wins by over 19.5 Points | 0% | 9¢ | 15¢ | — | $0 | Trade → |
| Ohio St. wins by over 22.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
| Penn St. wins by over 2.5 Points | 0% | 18¢ | 23¢ | — | $0 | Trade → |
| Ohio St. wins by over 16.5 Points | 0% | 15¢ | 22¢ | — | $0 | Trade → |
| Ohio St. wins by over 1.5 Points | 0% | 70¢ | 77¢ | — | $0 | Trade → |
This market lets traders express views on the point-spread outcome of the Ohio State at Penn State game; it matters because spread markets aggregate expectations about the expected margin of victory and react quickly to news that changes game-day outlooks.
Ohio State and Penn State are Big Ten programs with frequent meaningful matchups; historical context includes strong coaching staffs, variable weather late in the season, and often closely watched offensive and defensive matchups that influence margins. Venue, season timing, and recent team form all shape pregame expectations and in-play adjustments.
Market prices are an information signal about which spread outcomes traders expect to occur — lower prices typically indicate outcomes the market regards as more plausible, while higher prices indicate less likely outcomes. Treat prices as evolving signals that respond to injury news, weather, lineup changes, and betting flow rather than guarantees.
The listed close time is TBD; typically markets close at or shortly after the official end of the game and settle once the official final score is certified by the governing/statistical authority. Check the event page or platform announcements for the precise settlement time.
Settlement is based on the official final score (including any overtime) as reported by the officiating/statistical authority for the game; the spread outcome is determined by the margin of victory relative to the spread intervals defined by the market’s outcome buckets.
If the game is postponed or canceled, the platform will follow its event-resolution policy—some markets may be voided and positions refunded, others may be settled based on official determinations. Monitor official platform notices for the specific resolution for this event.
Late injuries or lineup changes can materially shift the expected margin and thus market prices; traders often reassess expected scoring balance and risk exposure immediately when such news breaks, so watch official injury reports and coach announcements for this game.
The multiple outcomes correspond to discrete spread-margin ranges (different teams covering by various margins or the opposite team covering). Choose outcomes based on your assessment of expected margin, how much value you believe the market is offering for that margin band, and your risk tolerance; consider key factors like injuries, weather, and matchup dynamics when deciding.