| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Mika Zibanejad: 2+ | 11% | 0¢ | 11¢ | — | $858 | Trade → |
| Will Borgen: 1+ | 5% | 0¢ | 5¢ | — | $153 | Trade → |
| Trevor Zegras: 1+ | 30% | 2¢ | 30¢ | — | $118 | Trade → |
| Mika Zibanejad: 1+ | 37% | 35¢ | 37¢ | — | $51 | Trade → |
| Owen Tippett: 1+ | 29% | 0¢ | 29¢ | — | $49 | Trade → |
| Vincent Trocheck: 1+ | 25% | 0¢ | 25¢ | — | $19 | Trade → |
| Matvei Michkov: 1+ | 29% | 0¢ | 27¢ | — | $9 | Trade → |
| Will Cuylle: 1+ | 0% | 0¢ | 22¢ | — | $0 | Trade → |
| Carl Grundstrom: 1+ | 0% | 0¢ | 11¢ | — | $0 | Trade → |
| Conor Sheary: 1+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Noah Laba: 1+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Alexis Lafreniere: 1+ | 0% | 0¢ | 26¢ | — | $0 | Trade → |
| Vladislav Gavrikov: 1+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Adam Fox: 1+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| Gabe Perreault: 1+ | 0% | 0¢ | 21¢ | — | $0 | Trade → |
| Braden Schneider: 1+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Rasmus Ristolainen: 1+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Jamie Drysdale: 1+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Denver Barkey: 1+ | 0% | 0¢ | 20¢ | — | $0 | Trade → |
| Travis Konecny: 1+ | 0% | 1¢ | 33¢ | — | $0 | Trade → |
| Cam York: 1+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Noah Cates: 1+ | 0% | 0¢ | 20¢ | — | $0 | Trade → |
| Sean Couturier: 1+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Travis Sanheim: 1+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Trevor Zegras: 2+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Jamie Drysdale: 2+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Vincent Trocheck: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Matvei Michkov: 2+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Matvei Michkov: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Mika Zibanejad: 3+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Noah Cates: 2+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Owen Tippett: 2+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Owen Tippett: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Vincent Trocheck: 2+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Will Cuylle: 2+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Vladislav Gavrikov: 2+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Jonny Brodzinski: 1+ | 0% | 13¢ | 16¢ | — | $0 | Trade → |
| Adam Fox: 2+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Carl Grundstrom: 2+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Christian Dvorak: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Conor Sheary: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Jonny Brodzinski: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Christian Dvorak: 1+ | 0% | 0¢ | 24¢ | — | $0 | Trade → |
| Alexis Lafreniere: 2+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Nikita Grebenkin: 1+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| Alexis Lafreniere: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Noah Laba: 2+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Sean Couturier: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Travis Konecny: 2+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Christian Dvorak: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Travis Konecny: 3+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Trevor Zegras: 3+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Denver Barkey: 2+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Gabe Perreault: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Will Cuylle: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Noah Juulsen: 1+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Urho Vaakanainen: 1+ | 0% | 0¢ | 3¢ | — | $0 | Trade → |
| Matthew Robertson: 1+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Juuso Parssinen: 1+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Adam Edstrom: 1+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
This prediction market tracks which NYR Rangers or PHI Flyers players will score goals in the specified Rangers-at-Flyers game; it matters because player-goal markets aggregate public and informed views about individual in-game performance and can move quickly as new lineup or injury information appears.
Rangers vs. Flyers is a divisional NHL matchup with frequent strategic adjustments around matchups, special teams, and goaltender decisions. Player-goal markets for a single game typically reflect expected ice time, power-play assignments, recent form, and coaching usage patterns rather than season-long production alone.
Market odds in this context represent the consensus of traders buying and selling specific player-goal outcomes and react to new information (lineups, injuries, scratches, and late scratches). Treat the odds as a real-time summary of expectations and update them with new game-day news rather than fixed forecasts.
The event page lists the market close as TBD; check the KALSHI event rules or the specific market header for the official close time — markets often close at puck drop or at a platform-specified moment before the game.
Counting of overtime and shootout goals depends on the market's rulebook; many single-game player-goal markets count regulation and overtime goals but exclude shootout goals — confirm the outcome rules on the event page before trading.
A late scratch typically causes rapid price movement for any outcomes tied to that player; monitor official team announcements and roster reports leading up to puck drop because traders often react immediately to lineup changes.
Outcomes are usually divided among multiple individual players and goal thresholds (e.g., a specific player scoring at least one goal or matching a goal total); consult the market description to see which players and goal conditions each of the 60 outcomes represent.
Watch each team’s top-line forwards, power-play unit members, and any players returning from injury or with recent scoring streaks; also track goaltender starts and reported minutes for top forwards since those drive the most immediate changes in player-goal expectations.