| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Philadelphia wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| San Jose wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| San Jose wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which spread outcome will occur when the Philadelphia team visits San Jose, and it matters because the spread encapsulates market expectations about the likely margin of victory and game control.
This is a professional hockey matchup between Philadelphia and San Jose; spreads for these games reflect pregame assessments of roster status, travel, and matchup dynamics. Historical patterns (home-ice advantage, recent form) and late-breaking information (injuries, starting goalies) commonly shift expectations for this pairing.
Prediction market prices summarize how traders view the likelihood of each spread outcome given available information; shifts in prices typically reflect new injury news, confirmed lineups, or heavy betting flow rather than changes on the ice once the puck drops.
This market offers four spread-based outcomes that correspond to different margin results or sides of the spread; the market page lists the exact spread definitions and how each outcome resolves.
Closure is listed as TBD; typically spread markets lock at or just before game start, though exchanges may close earlier if they lock lines due to late roster or injury news.
Watch the announced starting goaltenders, the availability of each team’s top-line scorers and top defensive pairing, and any late scratches or returns from injury, as these are the most common single-game margin movers.
Use recent head-to-head and form to identify trends (e.g., how each team fares in similar travel scenarios or defensive matchups), but prioritize current-season form, injuries, and confirmed lineups over older results.
Long flights, cross‑country time differences, and disparities in days off or back‑to‑back scheduling can influence team energy and goaltender readiness, which often leads markets to adjust the spread in favor of the better-rested team.