| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Buffalo wins by over 1.5 goals | 35% | 34¢ | 35¢ | — | $24K | Trade → |
| Vegas wins by over 2.5 goals | 15% | 15¢ | 17¢ | — | $530 | Trade → |
| Buffalo wins by over 2.5 goals | 27% | 25¢ | 27¢ | — | $150 | Trade → |
| Vegas wins by over 1.5 goals | 28% | 24¢ | 27¢ | — | $17 | Trade → |
This market covers the point spread for the Las Vegas at Buffalo game and lets traders take positions on which side and spread-range the market will settle on. Spread markets matter because they aggregate info about relative team strength, situational factors, and late-breaking news into tradable prices.
Buffalo and Las Vegas matchups are shaped by travel, home-field conditions in Buffalo, and contrasting offensive and defensive strengths; bookmakers and markets adjust spreads based on those patterns. Historical results between the teams provide context but roster changes, recent form, and coaching adjustments often matter more for a single-game spread. The market’s depth and activity reflect how much money and information traders have already put into pricing this matchup.
Market prices indicate collective expectations about which spread outcome is most likely and how traders are betting on different margins; prices move as new information (injuries, weather, lineups) or betting flow arrives.
This market offers four mutually exclusive spread outcomes corresponding to different sides or spread intervals; see the market page for the exact labels and payout rules for each of the four outcomes.
The market close is listed as TBD; typically spread markets close at or shortly before game kickoff, but the platform will publish the official close time and may close early if there is a postponement or material news.
Volume is a proxy for liquidity: higher volume usually means tighter execution and less price impact for medium-sized positions, while lower volume can lead to wider spreads and larger price movement for big trades. Consider order size relative to market depth and use limit orders if you want control over execution.
A starting QB being ruled out is high-impact information that markets usually react to quickly, shifting the spread toward the team with the healthy starter; the magnitude depends on the backup’s skill set and how offenses and defenses will adjust, but the precise move is determined by how traders reprice the matchup.
Head-to-head history provides context about styles and familiarity, but recent roster changes, current-season performance, injuries, and situational factors (travel, weather) typically carry more weight for predicting a single game’s spread.