| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Simon Holmstrom: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tony DeAngelo: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ondrej Palat: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Whitecloud: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor Zary: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Calum Ritchie: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Horvat: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Carson Soucy: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anders Lee: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Joel Hanley: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kevin Bahl: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mathew Barzal: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matthew Schaefer: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Scott Mayfield: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikael Backlund: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Shabanov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zayne Parekh: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Coronato: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Blake Coleman: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matvei Gridin: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Klapka: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marc Gatcomb: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| John Beecher: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Joel Farabee: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan Pulock: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Emil Heineman: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Morgan Frost: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yegor Sharangovich: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikael Backlund: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Simon Holmstrom: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ondrej Palat: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Shabanov: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Shabanov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matthew Schaefer: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marc Gatcomb: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mathew Barzal: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jean-Gabriel Pageau: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Emil Heineman: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adam Pelech: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anders Lee: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yegor Sharangovich: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Morgan Frost: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Morgan Frost: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Coronato: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Joel Farabee: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor Zary: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Blake Coleman: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Simon Holmstrom: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matthew Schaefer: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mathew Barzal: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Emil Heineman: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Calum Ritchie: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Horvat: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Horvat: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anders Lee: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yegor Sharangovich: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matvei Gridin: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matvei Gridin: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Coronato: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikael Backlund: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Blake Coleman: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Casey Cizikas: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jean-Gabriel Pageau: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market covers player goal outcomes for the NHL game between the Calgary Flames (CGY) and the New York Islanders (NYI). It matters for participants who want to trade on individual player scoring events tied to a single matchup.
The market aggregates trader views on which players will score during the scheduled CGY at NYI game, using official game statistics for settlement. Historical context such as recent form, head-to-head matchups, and usage patterns (lines, power play deployment) often drive expectations for individual players. Because this is a single-game market, short-term factors like scratches, goalie starts, and line combinations matter more than season-long cumulative stats.
Market prices reflect the collective expectations of participants and move as new information arrives (lineups, injuries, starting goalies, weather of travel schedules, etc.). Use the prices as dynamic signals of market sentiment, but confirm game-day roster and official rules on the market page for settlement details.
The market close time is listed as TBD on the event page; check the market interface or platform notifications for the official close time. The market will typically close before puck drop or at a time specified by the platform—monitor the event page for any updates or changes.
Settlement uses the NHL’s official scoring records as published by the league’s official scorer. Goals scored in regulation and overtime are counted toward player goal outcomes; shootout goals are not counted in official goal totals. Always confirm the market’s rulebook on the event page for any specific adjustments.
Markets tied to player game stats generally settle based on official game participation: if a player is scratched and does not appear in the game, outcomes typically reflect zero goals for that player. Check the specific event rules on the platform, since final handling is governed by the market’s published settlement terms.
Resolution depends on the platform’s contingency and settlement policies. Common approaches include voiding/rolling markets if the game is not played within a specified timeframe or settling based on the rescheduled game if it occurs within the platform’s allowed window. Refer to the event rules on the market page for the exact policy.
Track final line combinations, announced power-play units, confirmed starting goalies, any injury updates, recent usage (minutes per game) for target players, and situational context like whether the game is part of a back-to-back for either team. Those factors typically have the largest short-term impact on individual goal probabilities.