| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Yale wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Penn wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yale wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yale wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yale wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yale wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yale wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yale wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yale wins by over 24.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Penn wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the point spread for Penn's road matchup at Yale, showing market expectations about which team will cover a given margin; spread markets matter because they aggregate information about relative team strength and game conditions.
Penn and Yale are Ivy League opponents with a long history of competitive meetings; outcomes in these matchups are often influenced by situational factors like travel, academic scheduling, and roster continuity. The spread market translates those factors into tradable outcomes and will reflect new information up to the market close (Closes: TBD).
In a spread market, each outcome maps to a possible margin of victory or which side covers the spread; market prices summarize collective expectations rather than offering guarantees about the result.
Each listed outcome corresponds to a specific spread result or side — for example a particular range of margins or which team covers — and the market description/payout rules on the event page define the precise conditions for each outcome.
The event page lists the close as TBD; typically spread markets close at or just before the official game start time, so watch the market for an announced closing time as the game approaches.
Significant injuries or lineup changes often move spread markets quickly; traders commonly wait for official reports from teams or trusted beat reporters and may re-evaluate positions based on the impacted roles and depth charts.
Head-to-head history provides context about rivalry patterns and matchup tendencies, but recent form, roster turnover, and the current-season matchup specifics usually have greater predictive value for the spread.
Having 10 discrete outcomes means the spread is divided into multiple specified margins or sides, allowing traders to express nuanced views about the likely margin; more outcome granularity can improve precision but may require paying attention to liquidity and payout structure.