| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 3.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 1.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 2.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which total-goals range the San Jose at Vancouver game will finish in; totals markets matter because they let traders express views on overall scoring rather than which team wins.
San Jose and Vancouver are NHL clubs whose game-level scoring depends on lineups, goaltending, special teams and game context. Totals markets are especially sensitive to late-breaking news such as confirmed starting goalies, injuries, scratches, and travel or scheduling quirks that change expected offensive output.
Market prices reflect the collective view of participants about which total-goals range is most likely given available information; they update as new information (roster news, goalie starts, in-game developments) arrives.
The listed close time is currently TBD; in practice totals markets typically close at the platform’s cutoff (often at puck drop), and you should check the Kalshi market page for the official final close time.
The market is divided into four mutually exclusive total-goals outcome ranges that together cover all possible final combined scores; view the market page on Kalshi for the exact range labels and payout structure.
Starting goalies are a primary driver of expected scoring—elite or in-form netminders tend to lower expected totals, while backup or struggling goalies tend to raise them—so confirmation of the starters usually moves the market.
More penalties generally increase power-play opportunities and scoring variance; teams with effective power plays or weak penalty kills can push the expected total higher, while low-penalty games often suppress scoring.
Head-to-head history provides context but is less predictive than current-season form, goaltender matchups, and roster status; prioritize recent team performance and lineup news while using historical trends as a secondary input.