| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Alex DeBrincat: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex DeBrincat: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex DeBrincat: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Tuch: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Tuch: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Tuch: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Larkin: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Larkin: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Larkin: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Zucker: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Zucker: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Zucker: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Norris: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Norris: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Norris: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Lucas Raymond: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Lucas Raymond: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Lucas Raymond: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moritz Seider: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moritz Seider: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moritz Seider: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Patrick Kane: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Patrick Kane: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Patrick Kane: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rasmus Dahlin: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rasmus Dahlin: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rasmus Dahlin: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tage Thompson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tage Thompson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tage Thompson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market aggregates trader expectations for the points outcome in the Detroit Red Wings at Buffalo Sabres game—i.e., how many combined points (goals and assists, or specified point buckets) will be recorded for the listed outcomes. It matters because it summarizes market judgment about scoring, pace, and game flow for this specific matchup.
Detroit and Buffalo have contrasting styles that commonly influence scoring: one club's transition and high-danger chances versus the other's defensive structure and goaltending can push totals up or down. Special teams, recent line usage, and head-to-head tendencies also shape how many points are likely to appear in a single game. Because this market lists multiple point-based outcomes, traders can express views on narrow or wide scoring scenarios.
Market prices reflect collective expectations about which points outcome is most likely and will shift as lineups, injury news, or other information arrives. Read each outcome label carefully (exact total vs. bucketed range) and monitor updates up to the market close.
The event page lists the close time as TBD; typically KALSHI sports markets close at the scheduled puck drop unless the market owner specifies otherwise, so monitor the market page for the final close or any delay announcements.
Each outcome corresponds to a specific points total or a points range defined by the market creator—together the 30 outcomes span a wide set of possible scoring scenarios. Inspect the outcome labels on the market page to see exact definitions before trading.
Top-line forwards, primary power-play units, and high-usage playmakers from both teams typically produce the bulk of points; conversely, matchup deployment and an opposing shutdown line or hot goalie can limit those contributions.
Those developments materially affect expectations: removing a top scorer or inserting a different goalie can move the market significantly. Watch official team reports and be prepared for rapid price updates as news arrives.
That depends on the market’s specific rules—some markets count only regulation and overtime, others include shootout statistics, and some exclude overtime entirely. Check the market rules or outcome definitions on the event page to confirm which scoring periods apply.