| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cole Caufield: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cole Caufield: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cole Caufield: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Filip Forsberg: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Filip Forsberg: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Filip Forsberg: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ivan Demidov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ivan Demidov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ivan Demidov: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jonathan Marchessault: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jonathan Marchessault: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jonathan Marchessault: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juraj Slafkovský: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juraj Slafkovský: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juraj Slafkovský: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Lane Hutson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Lane Hutson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Lane Hutson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Evangelista: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Evangelista: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Evangelista: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Suzuki: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Suzuki: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Suzuki: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Noah Dobson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Noah Dobson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Noah Dobson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Roman Josi: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Roman Josi: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Roman Josi: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Reilly: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Reilly: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Reilly: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Steven Stamkos: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Steven Stamkos: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Steven Stamkos: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market concerns points-related outcomes for the NHL game between the Montreal Canadiens (away) and the Nashville Predators (home). It matters because points outcomes capture scoring dynamics that drive lineup decisions, betting positions, and in-game strategy.
Montreal and Nashville bring distinct styles that can influence scoring: one team’s roster construction, special teams, and goalie matchups will interact with the opponent’s strengths. Historical matchups provide context but rosters, injuries, and recent form typically drive short-term expectations for a given game. The market aggregates participant views on how those factors will translate into points in this specific contest.
Market odds reflect the collective expectations of participants about which points outcome will occur and will move as new information arrives (lineups, injuries, starting goalies). Use odds as a real-time signal of shifting information, not as a guaranteed forecast.
This market resolves according to the contract’s resolution rules, which typically rely on the NHL’s official final box score or the data source specified in the event description; any post-game official adjustments used by that source are applied per the platform’s resolution policy.
Whether overtime or shootout scoring counts depends on this event’s specific resolution rules; check the event description—some markets include all game periods while others count only regulation play or use the league’s official scoring definitions.
The listed close time is TBD; generally, markets close before the game starts or at puck drop depending on platform policy, and some may close earlier if key information (like official starting goalies) is released—monitor the event page for the exact close time.
Watch the announced starting goaltenders, the top two forward lines and power-play units from each team, any late scratches or returns from injury, and press-box/coach comments that signal role changes—those elements most directly affect scoring expectations.
Head-to-head history can provide context (styles and matchup tendencies), but current-season form, roster changes, injuries, and the announced starting goalies are typically more predictive for a single-game points market.