| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Penn wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Harvard wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Harvard wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Harvard wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Penn wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Harvard wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Penn wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Harvard wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Penn wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Penn wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Harvard wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur in the Penn at Harvard game; it matters because spread markets capture market expectations about the margin of victory and react to game-day information.
Penn vs Harvard is an Ivy League matchup where roster availability, coaching styles, and recent form can produce outcomes ranging from close contests to decisive wins. Historical head-to-head trends, home-field/venue effects, and timing within the college season all provide relevant context for assessing this specific matchup.
In a spread market, prices reflect the market’s collective view about which margin range is most likely; prices move as new information (injuries, lineups, weather, late scratches) arrives and should be read as evolving consensus rather than fixed predictions.
Closings are set by the platform and are commonly tied to the official game start time or a short interval before kickoff; check the event page for the exact close time and expect potential last-minute adjustments.
Each outcome corresponds to a specific spread or margin range for the final score (for example, team A wins by X–Y points or team B covers a given range); consult the event description on the platform to see the mapping of outcomes to margin ranges.
Key movers include starting lineup announcements, injury reports, travel or roster disruptions, weather updates for an outdoor game, and any coaching or personnel changes disclosed close to game time.
Use head-to-head history to inform expectations about rivalry dynamics and typical competitiveness, but weigh it alongside current-season form, roster changes, and situational factors that more directly affect the upcoming game.
Monitor official team channels and press releases, Ivy League communications, pregame injury reports, live stats and play-by-play feeds once the game starts, and local weather reports for the game site.