| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Virginia wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona St. wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona St. wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona St. wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona St. wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona St. wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which spread outcome will occur in the Arizona St. at Virginia game; it matters because the spread encodes expectations about the margin of victory and is what traders are betting on.
Arizona State and Virginia are college football programs with different styles, travel demands, and roster profiles; matchups between them can hinge on location, game plan, and late roster news. The market offers multiple discrete spread outcomes so traders can express views on margin ranges rather than only who wins.
Market odds show the collective view of which spread band is most likely; use them to compare relative likelihoods and how the market prices different margins, not as guarantees of a result.
The event page currently shows the close time as TBD; on most platforms spread markets close at or shortly before kickoff or when the official starting lineups are confirmed, so check the market's posted close time for this specific event.
The 11 outcomes correspond to different point-margin bands or spread thresholds for the final score differential, letting traders pick the range in which they expect the final margin to fall rather than a simple win/loss outcome.
Late injury or lineup updates can materially change expected margins; traders typically update positions quickly after official injury reports or starting lineup announcements because those items alter matchup strength and strategy.
Venue and travel matter: long trips, unfamiliar time zones, and hostile crowds can affect performance and the expected margin, so home-field influence is a common driver of spread movement.
Head-to-head history provides context but is often of limited predictive value because matchups can be infrequent and rosters and coaching staffs change; recent form, matchup fit, and current roster health typically carry more weight.