| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Lucas Raymond: 1+ | 53% | 0¢ | 100¢ | — | $495 | Trade → |
| Andrew Copp: 1+ | 31% | 99¢ | 100¢ | — | $153 | Trade → |
| Erik Haula: 1+ | 29% | 0¢ | 100¢ | — | $5 | Trade → |
| Dylan Larkin: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Andrew Copp: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex DeBrincat: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Lucas Raymond: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Erik Haula: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jonathan Marchessault: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Filip Forsberg: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Steven Stamkos: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Roman Josi: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Roman Josi: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Evangelista: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moritz Seider: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Reilly: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Patrick Kane: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Roman Josi: 1+ | 0% | 99¢ | 100¢ | — | $0 | Trade → |
| Luke Evangelista: 1+ | 0% | 99¢ | 100¢ | — | $0 | Trade → |
| Marco Kasper: 1+ | 0% | 99¢ | 100¢ | — | $0 | Trade → |
| Ryan O'Reilly: 1+ | 0% | 99¢ | 100¢ | — | $0 | Trade → |
| Michael Bunting: 1+ | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Filip Forsberg: 1+ | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Brady Skjei: 1+ | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Moritz Seider: 1+ | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Patrick Kane: 1+ | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Steven Stamkos: 1+ | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Jonathan Marchessault: 1+ | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Dylan Larkin: 1+ | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Alex DeBrincat: 1+ | 0% | 99¢ | 100¢ | — | $0 | Trade → |
This Kalshi market centers on the assists outcome for the Detroit Red Wings at Nashville Predators game — it lets traders express views on how many assists will be recorded in that matchup. It matters because assists reflect team playmaking, power-play performance, and game flow, all of which influence related betting and analytical decisions.
Detroit and Nashville are NHL clubs with distinct roster construction and styles that can shift season to season; player availability, recent form, and coaching strategy all shape how playmaking translates into assists on any given night. The market aggregates participant expectations about those factors into tradable outcomes, and because the market closes relative to game start, late-breaking news (lineup changes, injuries, scratches) can materially change expectations.
Market prices act as a real-time summary of traders' views about the likely assist outcome(s) and update as new information arrives; they are not fixed predictions and should be read alongside game-day data such as starting lineups, power-play units, and injury reports.
Each outcome corresponds to a specific assist total or range as defined on the Kalshi market page; it measures assists credited during that game according to official scorers, so review the outcome labels on the platform to see whether they refer to team totals, combined totals, or per-player measures.
The market close is listed as TBD here; on Kalshi, markets for single games commonly close at or just before game start, but you should confirm the exact close time on the market interface because last-minute roster or injury news can be market-moving.
Losing a top playmaker or the primary power-play quarterback tends to reduce expected assists for that team, while unexpected returns or lineup promotions can increase them; because this market updates with new information, such roster news typically causes prices to shift to reflect the new expected assist profile.
Focus on each team’s top playmakers—centers and wingers who quarterback the power play and the top lines—as well as any role players who are seeing elevated minutes; check the game-day lines and power-play unit assignments for the clearest indicators of who will influence assists most.
Markets with many outcomes often represent granular assist totals or narrow ranges; read each outcome’s label to understand what it pays if realized, and be aware that liquidity can be thin across many specific outcomes, so spreads may be wide and trading volume limited relative to single-outcome markets.