| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| BUF Sabres | 66% | 64¢ | 66¢ | — | $32K | Trade → |
| WSH Capitals | 35% | 34¢ | 35¢ | — | $2K | Trade → |
This market asks which team will win the upcoming Washington at Buffalo game; it matters because it aggregates real-money expectations about the on-field outcome and reacts to news that shifts those expectations.
Washington at Buffalo is a head-to-head matchup between the two clubs; outcomes depend on roster availability, coaching strategy, and in-game events. Buffalo’s home environment (outdoor stadium and local weather) and each team’s recent roster moves and form provide useful historical and situational context for traders.
Market prices reflect how traders are valuing each outcome given available information and move as new information arrives; they indicate the market’s current consensus but should be interpreted alongside injury reports, matchups, and other qualitative factors rather than as a fixed prediction.
Close time is listed on the event page and may be updated; the market typically locks prior to kick/faceoff time per the platform’s schedule, so monitor the event page for the final cutoff.
Resolution follows the platform’s settlement rules: markets usually require an official final result as recorded by the league. If a game is postponed or canceled, the platform will apply its stated policy (for example waiting for rescheduled completion or voiding trades) — check KALSHI’s resolution policy for specifics.
Most head-to-head winner markets use the official final result, which typically includes overtime; confirm the event’s settlement language on the platform to be certain.
Announcements that a starting quarterback, lead running back/receiver, or key offensive/defensive linemen are inactive or ruled out usually move the market most; late changes to special teams or the coaching staff can also be influential.
Treat those items as actionable information: verify from official sources, consider their timing relative to market close (late-breaking news can move prices quickly), and weigh how each factor changes expected game script rather than relying on any single data point.