| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Adam Fox: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Fox: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Fox: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adrian Kempe: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adrian Kempe: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adrian Kempe: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Laferriere: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alexis Lafreniere: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alexis Lafreniere: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anze Kopitar: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anze Kopitar: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Artemi Panarin: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Artemi Panarin: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Artemi Panarin: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandt Clarke: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandt Clarke: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| J.T. Miller: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| J.T. Miller: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| J.T. Miller: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mika Zibanejad: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mika Zibanejad: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mika Zibanejad: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Quinton Byfield: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Quinton Byfield: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Vincent Trocheck: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Vincent Trocheck: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Vincent Trocheck: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Will Cuylle: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on assists in the upcoming LA Kings at NYR Rangers matchup, offering a way to bet on playmaking outcomes that can be driven by line usage and special teams. It matters because assists capture playmaking impact and often reflect matchup-driven scoring opportunities.
The LA Kings and NY Rangers are teams whose assist totals are shaped by coaching systems, power-play structure, and recent roster availability. Historical head-to-head trends, current form, and injuries or roster moves in the days before the game all provide context for expected assist production. The market's multiple outcomes allow speculators to target specific player or team assist scenarios over the course of the game.
Market prices represent the crowd’s aggregated view of how likely each listed assist outcome is to occur; higher-priced outcomes imply less consensus that the outcome will happen. Use prices as indicators of market sentiment while combining them with your own analysis of ice time, role, and matchup factors.
This market contains 28 distinct outcomes; review the market description on the platform to see whether those outcomes correspond to player-specific assist totals, team assist ranges, or winner/loser style propositions.
Close time is set by the platform and is typically before puck drop to prevent in-play trading; check the market page for the definitive close timestamp, since it may change or be listed as TBD until finalized.
Focus on the teams’ primary playmakers: first-line centers, the power-play quarterback on the point, and any winger who regularly feeds those units. Look at recent assists leaders, current line deployments, and power-play minute logs to identify who will most affect assist totals.
Late changes can materially shift expected assist distribution by moving primary playmakers into different lines or reducing power-play quality; monitor official lineup announcements and adjust positions accordingly before market close.
Key metrics include recent assists per 60 minutes for relevant players, power-play time on ice, team assist rates over the last 5–10 games, and head-to-head tendencies for scoring chance generation; combining these with projected ice time gives the clearest signal for assist outcomes.