| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Owen Tippett: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trevor Zegras: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Fantilli: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlie Coyle: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlie Coyle: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Travis Konecny: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mason Marchment: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamie Drysdale: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Travis Konecny: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trevor Zegras: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Fantilli: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kirill Marchenko: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Werenski: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kirill Marchenko: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlie Coyle: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Fantilli: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Travis Konecny: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Werenski: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mason Marchment: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Owen Tippett: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trevor Zegras: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matvei Michkov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kirill Marchenko: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Sean Monahan: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Werenski: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamie Drysdale: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market covers the number of official assists recorded in the NHL game between the Columbus Blue Jackets (CBJ) and the Philadelphia Flyers (PHI). It matters because assists aggregate playmaking and special-teams activity, so the market reflects expectations about how the game will be played and where offense is likely to come from.
Columbus and Philadelphia have different roster constructions and playing styles that influence assist totals: some teams generate assists through structured zone entries and power-play setups, while others rely on individual scoring. Historical head-to-head results, venue effects (home/away), and recent team deployment of top playmakers and power-play units all provide context traders use when judging expected assists. This market is offered on the KALSHI exchange and lists 26 outcomes covering a range of assist totals.
Market prices reflect the collective view of expected assists and update as pregame and game-day information arrives (lineups, injuries, penalties). Use prices as a dynamic signal of changing expectations rather than fixed predictions — always confirm the event’s official settlement rules on the exchange before trading.
It measures official NHL assists credited in the game as recorded by the scorekeeper (typically including both primary and secondary assists). Verify the exchange’s settlement rules to confirm whether the market is for combined team assists, one team only, or another defined scope.
The 26 listed outcomes map to a predefined set of assist totals or ranges offered by the exchange (for example, individual totals, combined totals, or bucketed ranges). Check the market page for the exact mapping and which specific totals each outcome represents.
The event metadata currently shows the market close as TBD. Exchanges commonly close markets just before puck drop, but the exact close time for this market will be posted on the KALSHI market page — watch that page for the definitive cutoff.
Monitor confirmed starting lineups, which players draw power-play unit roles, expected top-center and top-defense pair ice time, and any reported injuries or scratches to primary playmakers; those details most directly change assist expectations.
Late scratches, injury reports, or announced changes to power-play personnel typically move market prices quickly as traders update expectations; in-game events (penalty waves, early goals, empty-net situations) also shift prices if the exchange keeps the market live during play. Monitor real-time news and price movement to respond to new information.