| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UCLA wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 22.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 25.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 28.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 31.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UCLA wins by over 34.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how the point spread will fall for the Minnesota at UCLA game; it matters because the spread encodes collective expectations about which team will outperform the other by a given margin.
The market covers a head-to-head matchup between the University of Minnesota and UCLA, with outcomes tied to different spread thresholds. Historical meetings between these programs are intermittent; roster changes, coaching turnover, and conference scheduling mean recent form and current-season context matter more than decades-old results.
Prices in a spread market reflect traders’ aggregated expectations about the final margin relative to each offered spread outcome; interpret movement as how new information (injuries, lineup announcements, weather, etc.) is shifting those expectations rather than a fixed prediction.
The posted close is TBD; markets like this typically close before the official game start or when the platform sets a final cutoff—check the event page for the live closing time and any platform notices.
Each outcome corresponds to a specific spread threshold or range defined by the market creator; consult the market description or outcome mapping on the event page to see the exact point margins that determine resolution.
Significant late injuries typically shift trader expectations and therefore market prices; if a key starter is ruled out, traders will reprice outcomes to reflect the new expected margin, often rapidly after official confirmation.
Relevant data include recent head-to-head meetings (if any), each team’s current-season offensive and defensive efficiency, home/away splits, injury reports, coaching changes, and situational records (short rest, travel, weather for outdoor sports).
Settlement rules for exact-margin outcomes are determined by the platform and the market’s specific terms; consult the event rules on the KALSHI page to see how pushes, ties, or rounding are handled for this market.