| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Ohio St. wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ohio St. wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur in the college football game between TCU and Ohio State. Spread markets matter because they reflect collective views on the likely margin of victory and are used by traders to express expectations about relative team strength, game flow, and key events affecting the final score.
TCU (Horned Frogs) and Ohio State (Buckeyes) are programs with distinct styles, roster compositions, and conference backgrounds; Ohio State typically plays home games in a large, loud stadium, while TCU brings schemes and personnel from its conference experience. The spread market aggregates information about injuries, recent form, matchup advantages, and public sentiment into discrete outcome options. Because the listed number of outcomes is larger than a simple binary, this market uses multiple margin categories rather than a single yes/no proposition.
In a spread market like this, each listed outcome corresponds to a specific margin range for the final score; market prices indicate how traders are valuing the chance of each margin outcome, not predictions of exact scores. Traders use prices to express beliefs about how close or lopsided the game will be and can reposition as new information (injuries, lineups, weather) arrives.
The market will close before kickoff; the exact close time is set by the platform and typically occurs at or shortly before game start. Check the market page for the definitive close time and any platform announcements if the schedule changes.
Each outcome represents a specific margin category for the final score (for example, one outcome for large Ohio State wins, others for close games, and several for TCU wins). The contract that finishes true is the one whose defined margin range contains the official final margin once the game is completed.
Settlement uses the official final score reported by the league, including any overtime periods; the margin used to determine which outcome resolves is the game’s final margin after all play (including overtime) is complete.
Settlement is based solely on the final official score and is unaffected by mid-market player news; however, such news can materially change prices before the market closes, so traders typically monitor injury reports and may adjust positions in response.
Use historical matchups and recent results to assess tendencies (e.g., which team tends to win by large margins, how they perform on the road, and how each handles similar opponents), but weigh recent injuries, staff changes, and current-season context more heavily because those factors more directly affect the upcoming game's margin.