| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Kirill Marchenko: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Travis Konecny: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matvei Michkov: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Travis Konecny: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Fantilli: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Travis Konecny: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trevor Zegras: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matvei Michkov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlie Coyle: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trevor Zegras: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Werenski: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Owen Tippett: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Dvorak: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Owen Tippett: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Dvorak: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trevor Zegras: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matvei Michkov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlie Coyle: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Owen Tippett: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Fantilli: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Dvorak: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mason Marchment: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kirill Marchenko: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Fantilli: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlie Coyle: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Werenski: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Werenski: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mason Marchment: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kirill Marchenko: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mason Marchment: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to predict the number of points (goals) scored in the Columbus Blue Jackets at Philadelphia Flyers game. It matters because scoring totals reflect goaltender performance, team tactics, and can shift quickly with lineup or injury news.
Columbus and Philadelphia are divisional opponents with contrasting styles that can influence scoring: one team may emphasize transition offense while the other may lean on physical forechecking and special teams. Venue and travel patterns, as well as recent roster moves, have historically affected scoring outputs between these clubs.
Market prices reflect the collective expectation for the range of points scored in this specific game and will move as new information (starting goalies, injuries, weather for travel, etc.) arrives. Consult the market’s outcome definitions and settlement rules to understand exactly which game events are used to determine the winning outcome.
The listed close time is TBD; typically the market will close before the scheduled puck drop. Check the exchange’s market page for the confirmed close time once it’s posted.
The market will settle using the official game statistics reported by the exchange’s data source (usually the NHL box score). Review the market rules to confirm whether goals in overtime or shootouts are included for this particular market.
A different starting goalie can materially change expected scoring because goalies differ in save percentage, style, and familiarity with opposing shooters. Traders typically react quickly to official goalie confirmations or late changes.
More power-play time for a team with an effective man-advantage increases the chance of additional goals; likewise, frequent penalties or a struggling penalty kill can raise the total points scored by granting more high-leverage scoring opportunities.
Late scratches and injuries can shift scoring balance—losing a top scorer or playmaker lowers a team’s expected goal output; conversely, recall of an offensive player or promotion of a scoring line can push expectations higher. Watch official roster updates and in-game scratches and read the market commentary for rapid reassessments.