| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Artyom Levshunov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Artyom Levshunov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Dvorak: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Dvorak: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor Bedard: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor Bedard: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor Bedard: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Frank Nazar: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Frank Nazar: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamie Drysdale: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamie Drysdale: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Owen Tippett: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Owen Tippett: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Travis Konecny: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Travis Konecny: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Travis Konecny: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trevor Zegras: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trevor Zegras: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trevor Zegras: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Bertuzzi: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Bertuzzi: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how assists will be distributed for the CHI Blackhawks at PHI Flyers game; it matters because assists are a direct measure of playmaking, power-play performance, and game flow that many traders and fans follow closely.
Chicago and Philadelphia are established NHL franchises with different recent offensive identities; outcomes in assists markets are shaped by each team’s current roster roles, special teams usage, and recent form. Head-to-head history can be informative but rosters, coaching, and situational factors change from game to game, so recent trends and lineups matter more than long-ago matchups.
Market odds summarize participants’ collective expectations for the possible assist outcomes and will move as new information arrives (lineups, injuries, weather/travel issues, or late scratches). Use odds as a real-time signal of how the market is pricing those factors, not as fixed predictions.
The 21 discrete outcomes correspond to the market’s predefined assist totals or ranges for this specific game; consult the platform’s outcome list to see whether each outcome is an exact assist count or a range.
The event currently shows a closing time of TBD; typically these markets close before or at puck drop, and the platform will update the exact closing timestamp once it’s set.
Pay attention to each team’s primary playmakers: top-line centers, the primary power-play quarterback, and any player who consistently racks up secondary assists. Check the announced starting lines and recent assist leaders on game day for the most relevant names.
Power plays tend to concentrate passing and set-play opportunities, increasing assist chances; a game with many penalties or sustained power-play time for one team will usually shift expected assists toward the team with the man-advantage.
They can provide context, but use recent meetings and the last several games for each team rather than long-term history. Adjust for roster changes, injuries, venue, and current season form since those factors materially alter assist dynamics.