| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Nebraska wins by over 1.5 Points | 47% | 47¢ | 48¢ | — | $41K | Trade → |
| UCLA wins by over 2.5 Points | 44% | 42¢ | 44¢ | — | $10K | Trade → |
| Nebraska wins by over 4.5 Points | 38% | 34¢ | 37¢ | — | $4K | Trade → |
| UCLA wins by over 5.5 Points | 30% | 30¢ | 34¢ | — | $2K | Trade → |
| Nebraska wins by over 7.5 Points | 24% | 23¢ | 28¢ | — | $1K | Trade → |
| Nebraska wins by over 10.5 Points | 19% | 16¢ | 18¢ | — | $419 | Trade → |
| UCLA wins by over 14.5 Points | 14% | 6¢ | 11¢ | — | $365 | Trade → |
| UCLA wins by over 8.5 Points | 20% | 20¢ | 26¢ | — | $314 | Trade → |
| Nebraska wins by over 16.5 Points | 8% | 3¢ | 10¢ | — | $192 | Trade → |
| Nebraska wins by over 13.5 Points | 14% | 9¢ | 13¢ | — | $147 | Trade → |
| UCLA wins by over 11.5 Points | 18% | 13¢ | 18¢ | — | $28 | Trade → |
| UCLA wins by over 16.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
This market asks how the point spread will resolve for the Nebraska at UCLA college football game; it matters because spread markets aggregate expectations about margin of victory rather than just the winner. Traders use it to express views on matchup balance, injuries, and situational edges like travel and venue.
Nebraska and UCLA are distinct programs with different regional footprints and frequently different styles of play; outcomes depend on current-season rosters, coaching strategies, and situational factors such as travel and weather. Historical head-to-head results provide context but are less predictive than the specific rosters, injuries, and schedules in force for the game itself.
Market prices in a spread market reflect the collective view of traders about likely point-differential outcomes and will move as new information arrives (injuries, starter announcements, weather, betting flow). Treat prices as a dynamic signal rather than a fixed prediction and check the market for updates up until the close.
The market close is listed as TBD; many spread markets close shortly before kickoff or when the operator specifies a cutoff. Check the KALSHI market page for the official close time and any last-minute updates.
Each outcome corresponds to a specific spread result or interval for the final margin between Nebraska and UCLA; the outcome that matches the final score differential is the winning outcome. Consult the market’s outcome definitions on the platform to see the exact spread buckets.
Monitor starter status for each team’s quarterback, any announced absences among top rushers/receivers, key offensive- or defensive-line injuries, and status of primary pass rushers and kickers—those items most directly affect margin projections.
Head-to-head history can offer context but is often less relevant than current-season factors; prioritize recent team form, roster changes, coaching matchups, and situational elements like venue and travel when evaluating the spread.
Settlement follows the platform’s rules for cancellations and incomplete games; some markets are voided or settled according to specified minimum game completion thresholds. Review the KALSHI market rules or announcements for the event’s contingency procedures.