| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Hellas Verona wins by over 2.5 goals | 1% | 0¢ | 1¢ | — | $300 | Trade → |
| Bologna wins by over 1.5 goals | 35% | 34¢ | 35¢ | — | $66 | Trade → |
| Bologna wins by over 2.5 goals | 14% | 15¢ | 16¢ | — | $1 | Trade → |
| Hellas Verona wins by over 1.5 goals | 0% | 3¢ | 5¢ | — | $0 | Trade → |
This market asks which spread outcome will occur in the Hellas Verona at Bologna match; it matters because spreads capture the expected margin between the teams and let traders express views on how large a victory or defeat will be.
Hellas Verona and Bologna are Italian professional clubs with distinct tactical profiles and recent seasons of fluctuating form; their meetings have produced a mix of narrow results and occasional clear wins, so markets often price margins rather than just win/loss. Club news—lineups, suspensions, and scheduling—can shift expectations quickly in the hours before kickoff.
Odds in a spreads market reflect the market consensus about likely scoring margins: shorter odds indicate outcomes seen as more plausible by traders, while longer odds indicate less expected margins; prices can move as new information (injuries, lineup announcements, weather) arrives.
The market currently lists the close time as TBD; trading for spread markets typically ends at or just before kickoff, but you should check the market page for any platform-specific closing announcement.
Each outcome corresponds to a distinct spread range or margin bracket defined by the market creator (for example, different bands of goal-margin favoring one team or the other); consult the market description on the platform for the exact boundaries of each outcome.
A late injury to a key starter—especially a central defender or lead attacker—can materially shift expectations about the likely margin, prompting price movement across the spread outcomes as traders update positions.
Yes. If past meetings between Hellas Verona and Bologna have consistently been close or lopsided, that pattern informs market participants’ expectations for margins and can make certain spread outcomes more or less attractive.
Settlement follows the official final score as determined by the platform’s stated data source; the final margin is compared to the market’s defined spread brackets and the appropriate outcome is paid according to the market rules—check the market terms for settlement specifics.