| 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 → |
| Dylan Larkin: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Larkin: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Zucker: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Zucker: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Norris: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Norris: 2+ | 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 asks how assists will be allocated in the specific NHL game DET Red Wings at BUF Sabres, letting traders express views on playmaking outcomes for that matchup. It matters because assists reflect game flow, power-play performance, and which players are creating opportunities.
Detroit and Buffalo bring different offensive profiles and roster matchups that shape assist opportunities — Detroit often uses structured zone entries and set plays, while Buffalo has recently emphasized puck possession and breakout passing through its top skaters and defensemen. Historical head-to-head patterns, recent line combinations, and special-teams deployment can all shift how many assists appear and which players are involved.
Market prices summarize the crowd’s view of likely assist outcomes and update as news arrives (lineup announcements, injuries, travel, weather). Treat prices as a dynamic signal of collective expectations rather than fixed forecasts; they change with new information up to the market close.
Each outcome maps to a distinct assist-related result offered by the platform for this specific game (for example, different assist totals, player-specific assist achievements, or categorical assist ranges). Consult the platform’s outcome descriptions to see the exact framing; outcomes are mutually exclusive and only one will resolve after the game.
A 'TBD' close means the exact cutoff for trading is not yet posted; traders should monitor the event page for an announced close (often at puck drop or a short time before). Pending the close, liquidity and prices can change rapidly as lineup news and scratches are released.
Watch Detroit’s primary playmakers and power-play contributors — the team’s top center(s), top wingers who facilitate plays, and the leading puck-moving defenseman(s). Those skaters typically register the highest share of assists in a given game, especially on power plays and high-danger scoring sequences.
Focus on Buffalo’s main setup players: the team’s top defenseman(s) who quarterback the power play, its primary playmaking forwards, and any linemates who have been producing secondary assists in recent games. These roles tend to capture most of the assist volume.
Power plays typically concentrate assist opportunities because play is structured and top playmakers see more puck time; a team expected to draw more penalties (or deploy a high-usage power-play unit) is likelier to generate assists. Conversely, a penalty-heavy game with many short-handed minutes can reduce five-on-five assist totals but increase short-handed opportunity variability.