| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Kirill Marchenko: 1+ | 49% | 0¢ | 50¢ | — | $10 | Trade → |
| Charlie Coyle: 1+ | 40% | 0¢ | 42¢ | — | $10 | Trade → |
| Zach Werenski: 1+ | 60% | 0¢ | 61¢ | — | $3 | Trade → |
| Kirill Marchenko: 2+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Anze Kopitar: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Adrian Kempe: 3+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Charlie Coyle: 2+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Adrian Kempe: 2+ | 0% | 0¢ | 13¢ | — | $0 | Trade → |
| Drew Doughty: 1+ | 0% | 0¢ | 25¢ | — | $0 | Trade → |
| Anze Kopitar: 1+ | 0% | 0¢ | 46¢ | — | $0 | Trade → |
| Trevor Moore: 1+ | 0% | 0¢ | 23¢ | — | $0 | Trade → |
| Ivan Provorov: 1+ | 0% | 0¢ | 29¢ | — | $0 | Trade → |
| Kirill Marchenko: 3+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Mason Marchment: 2+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Ivan Provorov: 2+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Adam Fantilli: 2+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Sean Monahan: 1+ | 0% | 0¢ | 30¢ | — | $0 | Trade → |
| Sean Monahan: 2+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Zach Werenski: 2+ | 0% | 0¢ | 24¢ | — | $0 | Trade → |
| Anze Kopitar: 2+ | 0% | 0¢ | 14¢ | — | $0 | Trade → |
| Brandt Clarke: 2+ | 0% | 0¢ | 11¢ | — | $0 | Trade → |
| Artemi Panarin: 3+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Adrian Kempe: 1+ | 0% | 0¢ | 44¢ | — | $0 | Trade → |
| Alex Laferriere: 1+ | 0% | 0¢ | 29¢ | — | $0 | Trade → |
| Alex Laferriere: 2+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Artemi Panarin: 2+ | 0% | 0¢ | 20¢ | — | $0 | Trade → |
| Quinton Byfield: 1+ | 0% | 0¢ | 31¢ | — | $0 | Trade → |
| Zach Werenski: 3+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Quinton Byfield: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Mason Marchment: 1+ | 0% | 0¢ | 37¢ | — | $0 | Trade → |
| Adam Fantilli: 1+ | 0% | 35¢ | 43¢ | — | $0 | Trade → |
| Artemi Panarin: 1+ | 0% | 49¢ | 56¢ | — | $0 | Trade → |
| Brandt Clarke: 1+ | 0% | 0¢ | 39¢ | — | $0 | Trade → |
This market asks how many assists will be recorded in the NHL game between the Los Angeles Kings and the Columbus Blue Jackets; it matters to traders, fantasy players, and anyone tracking playmaking and special-teams performance in a single contest.
Assists are credited on NHL goals to up to two players who directly contribute to creating the scoring play, and totals in a single game reflect team style, power-play usage, and lineup availability. Historical matchup patterns can be informative, but rosters, injuries, coaching decisions, and situational factors (rest, travel, back-to-back games) frequently change game-level assist outcomes.
Market prices reflect collective expectations about the final counted assists in this specific game as recorded by official NHL statistics; use prices as one input alongside lineup, injury, and special-teams information. Always check the exchange’s resolution rules to confirm which periods (regulation, overtime) and official sources are used to settle the market.
The listed close time is TBD; the market will resolve after the game once the official NHL box score and the exchange’s resolution window are final. Check the Kalshi event page for live close/resolution updates and any platform-specific timing rules.
Focus on the teams’ primary playmakers and those getting the most minutes on the top lines and power-play units; centers, top wingers, and puck-moving defensemen typically generate most assists. Verify the confirmed game-day lines and power-play unit assignments before the puck drop.
Official NHL statistics credit assists on overtime goals but not on shootout attempts. Markets settle using the exchange’s stated data source, typically the NHL’s official box score; confirm the event’s resolution rules on the platform for any exceptions.
Late scratches and injuries can materially change assist expectations by removing or replacing key playmakers, altering power-play units, or changing line chemistry. Monitor pregame reports and lineup confirmations, as those updates often move market pricing quickly.
Historical head-to-head numbers offer context about tendencies but should be weighted against current-season form, roster changes, special-teams matchups, and situational factors like rest or travel. Use past data as one input among up-to-date lineup and situational intelligence.