| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Buffalo wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Buffalo wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Seattle wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Seattle wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on the point-spread outcome for the Seattle Seahawks playing the Buffalo Bills; spread markets matter because they focus on margin of victory rather than just who wins. The result informs expectations about how much one team will outperform the other on game day.
Seattle at Buffalo is a matchup between two NFL franchises with different styles and a notable home-field environment in Buffalo. Historical context that affects spreads includes recent head-to-head results, each team’s offensive and defensive strengths, travel and time-zone effects for the visiting team, and the typical late-season weather conditions in Buffalo.
In a spread market, each outcome corresponds to a range of possible scoring margins; market prices reflect traders’ collective view of which range is most likely. Interpret the market as a continuously updated aggregation of expectations about the final point margin, not a fixed prediction.
This event’s close time is listed as TBD; check the KALSHI market page for the official close time, which may update as kickoff approaches. Markets commonly close before kickoff to prevent trading on in-game information.
Each outcome represents a different range of final point margins (for example, one outcome might correspond to Buffalo winning by a certain range, another to Seattle covering, etc.). Consult the market description on the platform for the exact margin ranges tied to each outcome.
A confirmed injury to a starter typically increases uncertainty and will often shift expectations toward the team with the healthier or more proven backup; traders will reprice outcomes to reflect the anticipated impact on scoring and game control.
Adverse weather (cold, wind, snow) can suppress passing efficiency and favor run-heavy or conservative game plans, which often narrows scoring differentials; the market will factor forecasts and historical weather effects as kickoff approaches.
Both matter, but prioritize context: use recent form and matchup-relevant trends (injuries, personnel changes, situational matchups) over raw head-to-head records, and adjust for venue and timing (e.g., midseason vs. late-season conditions).