| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UCF wins by over 18.5 Points | 3% | 1¢ | 6¢ | — | $60 | Trade → |
| UCF wins by over 12.5 Points | 0% | 3¢ | 11¢ | — | $0 | Trade → |
| West Virginia wins by over 3.5 Points | 0% | 47¢ | 50¢ | — | $0 | Trade → |
| West Virginia wins by over 6.5 Points | 0% | 34¢ | 40¢ | — | $0 | Trade → |
| West Virginia wins by over 9.5 Points | 0% | 25¢ | 31¢ | — | $0 | Trade → |
| UCF wins by over 6.5 Points | 0% | 15¢ | 24¢ | — | $0 | Trade → |
| UCF wins by over 15.5 Points | 0% | 3¢ | 8¢ | — | $0 | Trade → |
| UCF wins by over 9.5 Points | 0% | 9¢ | 17¢ | — | $0 | Trade → |
| UCF wins by over 3.5 Points | 0% | 26¢ | 33¢ | — | $0 | Trade → |
| West Virginia wins by over 12.5 Points | 0% | 15¢ | 23¢ | — | $0 | Trade → |
This market asks which point-spread range will apply to the college football game between UCF and West Virginia. It matters because spread outcomes summarize market expectations about the margin of victory and are sensitive to late news such as injuries and weather.
UCF and West Virginia are FBS programs whose matchup brings differing styles, travel considerations, and local conditions. Games between teams from different regions can produce uneven travel burdens and stylistic mismatches that influence scoring margins; historical results and recent form provide context but do not determine a single outcome.
Each outcome corresponds to a specific interval of the final margin (the spread). Market prices reflect traders’ collective views about which interval is most likely, and they update as new information arrives.
The market close is listed as TBD; typically these markets close at or just before kickoff, but you should monitor the platform for the official close time posted on the market page.
The ten outcomes partition the possible final margins into discrete spread ranges (for example, several bands favoring each team and a near-tie band); consult the market details to see the exact bracket boundaries for this market.
Treat confirmed starter absences and late injury updates as high-impact information: they can shift expected margins significantly and are often reflected quickly in prices, so check official team reports and credible beat writers before making decisions.
Low total volume means prices may be more volatile and less robust to information; with thin liquidity, single trades can move prices and the market may not fully reflect broader consensus.
Head-to-head history can offer context about matchup tendencies, but prioritize recent form, current rosters, and situational factors (home field, injuries, weather) because rosters and coaching staffs change frequently and drive the immediate spread.