| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 130.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 139.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 145.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 133.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 136.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 157.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Penn at Yale game; it matters to fans and traders who want to express or monetize expectations about the game’s scoring outcome.
Penn and Yale are long‑standing collegiate programs whose matchups can vary widely in scoring depending on season, roster turnover, and coaching. Scoring norms differ by sport, venue, and era, so recent team form and matchup context are crucial for interpreting expectations.
Market prices aggregate the beliefs of participants about the likely total points; prices update as new information (injuries, weather, lineup news, etc.) becomes available and reflect how traders are reweighting those factors.
The closure time for this market is listed on the platform; if it is marked TBD, watch the market page for an announced close. In practice markets typically close at or before official game start or as specified by the exchange’s rules, and the platform will notify traders of any changes or delays.
The 11 outcomes correspond to discrete point‑total bins or thresholds that partition possible combined scores (for example, ranges or 'over/under' style intervals). The market page shows the exact labels for each outcome and which final combined score would settle each one.
Settlement is based on the official game score as reported by the organizing body or the teams’ official statistics, according to the exchange’s rulebook. Check the market’s settlement rules on the platform for the named official sources and any tie/edge‑case procedures.
Late availability news can materially change scoring expectations: losing a primary scorer or starting quarterback/point guard usually lowers expected totals, while losing a key defender can raise them. Markets typically react quickly to vetted reports, so use reliable sources and consider how a change alters pace and efficiency, not just scoring volume.
Head‑to‑head history provides context about matchup tendencies (e.g., rivalries that produce lower or higher scoring affairs), but roster turnover, coaching changes, and current season form are often more predictive. Use historical results as one input among recent team metrics, injuries, and tempo indicators.