| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Ohio St. wins the 1H by over 19.5 points | 0% | 0¢ | 53¢ | — | $0 | Trade → |
| Penn St. wins the 1H by over 11.5 points | 0% | 0¢ | 53¢ | — | $0 | Trade → |
| Ohio St. wins the 1H by over 1.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Penn St. wins the 1H by over 8.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Penn St. wins the 1H by over 2.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Penn St. wins the 1H by over 5.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Ohio St. wins the 1H by over 16.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Ohio St. wins the 1H by over 7.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Ohio St. wins the 1H by over 10.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Ohio St. wins the 1H by over 13.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Ohio St. wins the 1H by over 4.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
This market asks how the first half point spread will play out between Ohio State and Penn State; it matters to traders and bettors focused on early-game performance rather than the full game outcome.
Ohio State–Penn State is a longstanding Big Ten rivalry where game tempo, defensive strength, and coaching approaches often determine early leads. First-half outcomes historically hinge on starting personnel, game plans, and situational factors like turnovers and special teams play.
Prices in a first-half spread market reflect the market consensus about which side of the specified point margins is most likely in the first two quarters; movements occur as new information (injuries, lineups, weather, etc.) becomes available.
This market’s official close time is set by KALSHI and will lock before kickoff; at the moment the event shows 'Closes: TBD', so check the KALSHI platform or the market page for the exact cutoff timestamp closer to game day.
The 11 outcomes correspond to different spread-related results for the first half (distinct point-margin outcomes or buckets). Each outcome represents a different range or scenario for which side covers the first-half spread as defined by the market.
Key influences are the starting quarterbacks and their early-game play, lead running back and offensive-line availability for establishing a ground game, the defensive front and secondary’s ability to disrupt drives, and any special teams factors such as field-goal reliability or kickoff returns.
Monitor injury/inactive listings and official starting lineup announcements up to kickoff; confirmation that a usual starter is out or a backup is starting can materially change early-game expectations and often drives rapid market adjustments.
Historical first-half tendencies (e.g., which team has tended to start faster in recent meetings) can provide context, but they are only one input—apply them alongside current-season form, personnel changes, and game-specific conditions rather than as sole determinants.