| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Mason Marchment | 8% | 0¢ | 1¢ | — | $3K | Trade → |
| Mika Zibanejad | 8% | 0¢ | 1¢ | — | $1K | Trade → |
| Kirill Marchenko | 7% | 0¢ | 7¢ | — | $687 | Trade → |
| Vladislav Gavrikov | 2% | 0¢ | 99¢ | — | $631 | Trade → |
| Adam Fantilli | 6% | 99¢ | 100¢ | — | $413 | Trade → |
| Zach Werenski | 20% | 3¢ | 98¢ | — | $399 | Trade → |
| Gabe Perreault | 4% | 0¢ | 99¢ | — | $351 | Trade → |
| Isac Lundestrom | 2% | 0¢ | 99¢ | — | $279 | Trade → |
| Charlie Coyle | 5% | 0¢ | 1¢ | — | $264 | Trade → |
| Cole Sillinger | 4% | 0¢ | 99¢ | — | $257 | Trade → |
| Alexis Lafreniere | 6% | 0¢ | 1¢ | — | $217 | Trade → |
| Will Cuylle | 5% | 0¢ | 99¢ | — | $210 | Trade → |
| Vincent Trocheck | 6% | 0¢ | 1¢ | — | $187 | Trade → |
| Mathieu Olivier | 3% | 0¢ | 99¢ | — | $168 | Trade → |
| J.T. Miller | 7% | 0¢ | 100¢ | — | $158 | Trade → |
| Miles Wood | 3% | 0¢ | 99¢ | — | $156 | Trade → |
| Dmitri Voronkov | 4% | 0¢ | 99¢ | — | $117 | Trade → |
| Boone Jenner | 4% | 0¢ | 99¢ | — | $117 | Trade → |
| Scott Morrow | 8% | 0¢ | 100¢ | — | $93 | Trade → |
| Taylor Raddysh | 2% | 0¢ | 99¢ | — | $46 | Trade → |
| Adam Fox | 4% | 0¢ | 99¢ | — | $23 | Trade → |
| Noah Laba | 4% | 0¢ | 99¢ | — | $23 | Trade → |
| Conor Sheary | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Sean Monahan | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Denton Mateychuk | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Braden Schneider | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Danton Heinen | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Will Borgen | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Sam Carrick | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Matthew Robertson | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Brendan Brisson | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Ivan Provorov | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Erik Gudbranson | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Damon Severson | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Dante Fabbro | 0% | 0¢ | 99¢ | — | $0 | Trade → |
This market asks which player or team will score the first goal in the Columbus Blue Jackets at New York Rangers game; it matters because first-goal outcomes concentrate attention on starting lineups, special teams and early-game matchups.
The event covers a regular-season NHL matchup played at the Rangers' home arena and reflects both teams' recent form, roster decisions, and travel schedules. Historical head-to-head trends and each club's deployment of top scorers and special teams provide useful context for how the opening minutes might unfold.
Market prices represent the collective view of who is most likely to be credited with the game’s first goal and move as new information (confirmed lineups, scratches, goaltender starts, in-game events) arrives. Use them as a real-time signal of changing expectations rather than a fixed forecast.
The market resolves to the player or team who is officially credited with the first goal in the game's official scoring summary; resolution timing follows the platform’s stated rules and typically waits for official scorer confirmation.
Options commonly include individual skaters from both teams plus team-level outcomes (e.g., no goal, team first goal). If a player is scratched or ruled out pre-game, markets tend to reprice quickly since that player can no longer be credited with the first goal.
Movements after lineup releases reflect updated information about who will be on the ice early (line combinations, power-play units, goaltender starts); sharper moves indicate that traders see a material impact from those confirmations.
Yes — an early man-advantage shifts immediate scoring opportunity toward the team with the power play because their highest-percentage chances often come on special teams and set plays.
Settlement follows the platform’s policy, which typically uses the official post-game scoring decisions; if credits are changed after the final box score, the platform will apply its rules for post-game adjustments and communicate any outcomes to traders.