| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Leo Carlsson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marco Rossi: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Filip Hronek: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake DeBrusk: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Troy Terry: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cutter Gauthier: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Leo Carlsson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Leo Carlsson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brock Boeser: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jackson LaCombe: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Troy Terry: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Beckett Sennecke: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chris Kreider: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jackson LaCombe: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jackson LaCombe: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cutter Gauthier: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Filip Hronek: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Troy Terry: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chris Kreider: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marco Rossi: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brock Boeser: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cutter Gauthier: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Beckett Sennecke: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market covers the number of assists recorded in the NHL game between the Anaheim Ducks (ANA) and the Vancouver Canucks (VAN). It matters because assists capture playmaking and team offensive dynamics that bettors and analysts use to evaluate player and team performance.
The market sits within the context of a single regular-season or preseason NHL matchup between ANA and VAN, where both team strategies, special teams, and lineup decisions shape scoring opportunities. Historically, assists totals vary game to game depending on pace, power-play usage, and which playmakers are in the lineup. Market participants should consider recent form, roster changes, and matchup-specific tendencies when evaluating this event.
Prediction market prices reflect the collective view of traders about how many assists will be recorded and update as new information arrives. Use prices as a dynamic signal of market expectations, not as fixed predictions, and check the market page for outcome definitions and trading mechanics.
The event page currently lists the close time as TBD; platform-specific markets typically close at or shortly before puck drop, so monitor the KALSHI market page for the official closing timestamp.
The market is partitioned into 23 distinct outcomes representing different assist totals or ranges for the game; view the market interface to see each outcome label and its payoff structure.
Late scratches that remove top playmakers or change line combinations can materially shift expected assist totals, because distributing ice time differently alters passing and scoring chances; traders often adjust positions after official lineups are released.
Yes — more power-play opportunities increase organized scoring chances and secondary assists, while disciplined penalty killing reduces them, so special-teams projections are key inputs when assessing this market.
Head-to-head history can provide context on how these teams have combined to produce assists, but it should be weighted alongside current-season form, roster changes, venue, and recent playstyle adjustments rather than relied on alone.