| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Adam Fantilli: 1+ | 99% | 99¢ | 100¢ | — | $1K | Trade → |
| Mika Zibanejad: 1+ | 33% | 0¢ | 98¢ | — | $355 | Trade → |
| Zach Werenski: 1+ | 94% | 5¢ | 98¢ | — | $290 | Trade → |
| Sean Monahan: 1+ | 19% | 0¢ | 98¢ | — | $250 | Trade → |
| Adam Fox: 1+ | 15% | 0¢ | 98¢ | — | $193 | Trade → |
| Alexis Lafreniere: 1+ | 28% | 0¢ | 97¢ | — | $179 | Trade → |
| Kirill Marchenko: 1+ | 31% | 0¢ | 98¢ | — | $159 | Trade → |
| Dante Fabbro: 1+ | 5% | 0¢ | 98¢ | — | $154 | Trade → |
| Vincent Trocheck: 1+ | 26% | 0¢ | 98¢ | — | $144 | Trade → |
| Vincent Trocheck: 2+ | 8% | 0¢ | 98¢ | — | $117 | Trade → |
| Charlie Coyle: 1+ | 23% | 0¢ | 98¢ | — | $98 | Trade → |
| Mika Zibanejad: 2+ | 7% | 0¢ | 98¢ | — | $95 | Trade → |
| J.T. Miller: 1+ | 29% | 0¢ | 98¢ | — | $42 | Trade → |
| Ivan Provorov: 1+ | 14% | 0¢ | 97¢ | — | $34 | Trade → |
| Denton Mateychuk: 1+ | 6% | 0¢ | 97¢ | — | $31 | Trade → |
| Mason Marchment: 1+ | 27% | 0¢ | 98¢ | — | $22 | Trade → |
| Noah Laba: 1+ | 17% | 0¢ | 97¢ | — | $22 | Trade → |
| Mathieu Olivier: 1+ | 14% | 0¢ | 97¢ | — | $13 | Trade → |
| Gabe Perreault: 1+ | 22% | 0¢ | 98¢ | — | $12 | Trade → |
| Sam Carrick: 1+ | 8% | 0¢ | 96¢ | — | $11 | Trade → |
| Will Cuylle: 1+ | 25% | 0¢ | 97¢ | — | $1 | Trade → |
| Dmitri Voronkov: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Miles Wood: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Danton Heinen: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Isac Lundestrom: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Vladislav Gavrikov: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Damon Severson: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Taylor Raddysh: 1+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Brendan Brisson: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Alexis Lafreniere: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Scott Morrow: 1+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Will Borgen: 1+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| J.T. Miller: 3+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Kirill Marchenko: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Noah Laba: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Mason Marchment: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Conor Sheary: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Adam Fantilli: 3+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Dmitri Voronkov: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Kirill Marchenko: 3+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Sean Monahan: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Cole Sillinger: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Danton Heinen: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Alexis Lafreniere: 3+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Gabe Perreault: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Adam Fantilli: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Mathieu Olivier: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Brendan Brisson: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Miles Wood: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Boone Jenner: 1+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Mika Zibanejad: 3+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Braden Schneider: 1+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Adam Fox: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Charlie Coyle: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Boone Jenner: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| J.T. Miller: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Will Cuylle: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Zach Werenski: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Matthew Robertson: 1+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Cole Sillinger: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Conor Sheary: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Erik Gudbranson: 1+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
This prediction market asks whether specific players will score goals in the Columbus Blue Jackets at New York Rangers game; it matters because player-goal markets let traders express and monetize short-term expectations about individual performance in a single matchup.
The Blue Jackets and Rangers are NHL teams with different offensive profiles, roster depth, and recent forms that influence player scoring opportunities. Head-to-head history, line combinations, and matchup context (home ice, travel, and schedule) are useful background when evaluating individual player prop markets.
Market prices reflect the collective expectation of traders and update as new information arrives (lineups, injuries, starter announcements, in-game events). Treat prices as dynamic signals that incorporate public information and sentiment rather than fixed forecasts.
The 62 outcomes correspond to the specific player-goal propositions listed on the market page for this game; they typically cover a set of rostered forwards and defensemen from both teams with distinct scoring propositions — consult the market listing to see which players and goal thresholds are offered.
The market's close time is listed as TBD for now; for most player-prop markets, the market closes before the game begins (often at or shortly before puck drop), but you should verify the closing timestamp on the market page to know the exact cutoff.
Lineup changes can materially change the expected outcomes; exchanges may pause trading or rely on official market rules for resolution. Monitor official announcements and the market’s rules and settlement policy, and consider managing exposure if a player you traded on is scratched or has reduced minutes.
The starting goalie is a major factor because different goalies vary in save rates, rebound control, and tendencies that influence shot quality and scoring chances; a change in starter can shift which skaters are likelier to score, especially those who frequently face or create high-danger chances.
Relevant data include recent head-to-head results between the teams, how individual players have performed against that opponent, each player’s recent ice time and power-play usage, home vs. away splits, and any short-term trends (hot streaks or slumps) that affect scoring opportunities.