| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 138.5 points scored | 0% | 56¢ | 59¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 13¢ | 22¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 66¢ | 73¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 25¢ | 30¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 72¢ | 80¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 77¢ | 86¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 31¢ | 38¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 18¢ | 26¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 60¢ | 66¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 38¢ | 44¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 47¢ | 51¢ | — | $0 | Trade → |
This prediction market asks how many total points will be scored in the college football game between UCF and West Virginia. It matters because total-points markets aggregate public information about scoring expectations and react to real-time news like injuries and weather.
UCF and West Virginia are FBS programs with differing offensive identities and recent program trajectories; those styles, current-season form, and any conference matchup history shape scoring expectations. Because this market closes TBD, pregame developments (injury reports, depth-chart changes, and weather forecasts) can shift expectations quickly once trading begins.
Market prices across the available outcomes reflect the crowd’s consensus about likely score ranges; movement in prices signals new information or changing sentiment. Treat prices qualitatively—as an information signal—especially when liquidity is low or the market is new.
The market close is listed as TBD on the event page; in practice, check KALSHI for the platform’s official close time—markets for game outcomes usually close at or shortly before kickoff to allow settlement on the scheduled game.
An 11-outcome structure splits the possible range of total scores into 11 discrete buckets, so traders buy or sell positions on which scoring band they think the final total will fall into; narrower buckets give more granularity but can reduce liquidity per outcome.
Zero volume means there has been no trading activity yet, so current prices (if any) may not reflect active market consensus; low or no volume increases price volatility when trading starts and makes it harder to infer reliable market signals until liquidity builds.
A late QB injury typically changes offensive efficiency, playcalling, and scoring upside—markets often react quickly to announced injuries because backups can significantly reduce or alter scoring output; watch official injury reports and team depth-chart confirmations.
Home-field factors—crowd noise, familiarity with the venue, travel demands on the visitor, and local weather—can all influence pace and scoring; traders often price home advantage into totals, especially if one team shows a strong home/away split in recent form.