| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 2.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 3.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 5.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 6.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 7.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 8.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 9.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the New York I at Buffalo game; it matters because total-points markets aggregate expectations about offense, defense, weather, and game tempo into a single, tradable outcome.
Hosted on KALSHI, this event offers eight discrete outcomes covering different total-points ranges for the matchup between New York I and Buffalo; total volume traded is currently $0 and the market close time is listed as TBD. Historical scoring patterns between these franchises, current-season offensive and defensive metrics, and any roster changes will be central context for traders.
Market prices reflect the collective view of traders about likely total scoring in this specific game and will move as new information (injuries, weather, lineup changes) arrives. Use price movement and liquidity to gauge how sentiment evolves up to the market close.
The market close time is currently listed as TBD; KALSHI will update the event page with the official close before trading ends—markets typically close before kickoff or when the exchange specifies.
The eight outcomes correspond to mutually exclusive total-points ranges for the game (different bins covering possible combined scores); check the market’s outcome labels on KALSHI to see the exact ranges offered.
A starting QB injury typically reduces expected passing production and can lower projected scoring, but the final effect depends on the backup’s skill, game plan adjustments, and the opposing defense; traders watch official injury reports and pregame confirmations.
Weather forecasts become more reliable within 48–72 hours of kickoff and are highly relevant on gameday; significant rain, snow, or wind forecast changes can move expectations and market prices as kickoff approaches.
Head‑to‑head totals can inform expectations but should be weighed against roster turnover, current-season form, opponent strength, and sample size; use recent matchups as one input among injuries, play-calling tendencies, and situational factors.