| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Anders Lee: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anders Lee: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anders Lee: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Horvat: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Horvat: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Horvat: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Calum Ritchie: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Calum Ritchie: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Emil Heineman: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Emil Heineman: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamie Benn: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamie Benn: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamie Benn: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Robertson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Robertson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Robertson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mathew Barzal: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mathew Barzal: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mathew Barzal: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Duchene: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Duchene: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Duchene: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matthew Schaefer: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matthew Schaefer: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matthew Schaefer: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mavrik Bourque: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mavrik Bourque: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mavrik Bourque: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miro Heiskanen: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miro Heiskanen: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miro Heiskanen: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Simon Holmstrom: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Simon Holmstrom: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Thomas Harley: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Thomas Harley: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wyatt Johnston: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wyatt Johnston: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wyatt Johnston: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many points will be recorded in the DAL Stars at NYI Islanders matchup and offers a set of discrete outcomes tied to specific point totals or ranges. It matters because market prices aggregate information about injuries, starting goalies, pace of play, and other factors that influence scoring.
Dallas Stars and New York Islanders matchups bring different stylistic contrasts — Dallas typically emphasizes transitional offense while New York often relies on structured defense and goaltending. Historical head-to-head trends, recent form, travel schedule, and lineup availability all provide context for expected scoring in this specific game.
Prices on this market represent collective expectations for which point-total outcome will occur and will change as new information (lineups, injuries, goalie starts, in-game updates) becomes available. Because this market has many discrete outcomes, relative prices can show where traders expect clustering of likely point totals.
Each outcome corresponds to a specific point total or a defined range of point totals for the market; the market page or rules section lists the exact mapping so you can see which numerical totals or ranges each outcome covers.
The market close time is listed as TBD — typically markets like this close at or just before puck drop or at a time specified on the contract page. Settlement uses the official game scoring data (per the market’s rulebook), so check whether overtime and shootout goals are included in the definition for this contract.
Late scratches, emergency call-ups, or unexpected healthy scratches can materially change scoring expectations for this game; markets often react quickly to verified official lineup and injury news announced by teams or the league.
Review recent head-to-head games for patterns in scoring and how home/away contexts changed outcomes, but weight recent season data, roster changes, and current form more heavily than older matchups because team composition and systems evolve.
Very important — the identity and recent performance of the starter shifts expected goals and saves rates, which in turn influence total points; confirm the official starter and any goalie workload notes before assessing the market.