| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Tony DeAngelo: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Calum Ritchie: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mathew Barzal: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Horvat: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mathew Barzal: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matthew Schaefer: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Sam Rinzel: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Artyom Levshunov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor Bedard: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matthew Schaefer: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anders Lee: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Artyom Levshunov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Calum Ritchie: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tony DeAngelo: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Horvat: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mathew Barzal: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor Bedard: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Simon Holmstrom: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matthew Schaefer: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Horvat: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Simon Holmstrom: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anders Lee: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Emil Heineman: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor Bedard: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market covers assist-related outcomes for the Chicago Blackhawks at New York Islanders game on KALSHI. It matters because assists are a primary measure of playmaking and help capture how the game’s offense is generated.
Chicago and New York bring different team profiles: one side with developing playmakers and roster turnover, the other known for structured systems and special-teams minutes. Head-to-head tendencies, recent form, and roster availability (lineups, trades, injuries) provide useful background for how the assist totals or player-assist outcomes might play out.
Market prices reflect the crowd’s collective view of which assist outcomes are most likely; they update as roster news, starting lineups, and in-game developments emerge. Use them as a dynamic, relative signal rather than a fixed prediction.
The 24 outcomes typically cover a mix of assist-related results such as team total assist ranges, individual player assist counts or buckets, game-high assists, and first/last assist propositions. See the event page on KALSHI for the exact list and wording of all 24 outcomes.
The event page shows the official close time; if it is listed as TBD, expect the market to close at or shortly before puck drop, but confirm the exact close time on KALSHI since platforms may set different cutoffs for player prop vs. game-wide markets.
Monitor each team’s top playmakers—players centering top offensive lines or quarterbacking the power play—and any recent assist leaders. Final confirmation comes from the posted starting lines and power-play unit designations ahead of puck drop.
Late roster changes materially shift expected assist distributions: removing a top playmaker reduces his personal-assist outcomes and often depresses team assist totals, while an unexpected replacement can open opportunities for others. Markets typically react quickly to official lineup and injury reports.
Settlement is based on the official game statistics as recorded by the recognized league statistician and reported in the official NHL box score. For platform-specific tie-breakers or edge cases, consult KALSHI’s settlement rules on the event page.