| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Boston wins by over 2.5 goals | 29% | 25¢ | 29¢ | — | $133 | Trade → |
| San Jose wins by over 1.5 goals | 24% | 18¢ | 23¢ | — | $90 | Trade → |
| Boston wins by over 1.5 goals | 39% | 37¢ | 40¢ | — | $57 | Trade → |
| San Jose wins by over 2.5 goals | 10% | 10¢ | 16¢ | — | $11 | Trade → |
This market asks how the point spread will resolve in the San Jose at Boston matchup; it matters because the spread summarizes market expectations about the likely margin of victory between the two teams and is used by traders to express views on relative team strength.
San Jose and Boston meet in a single scheduled game where the spread market converts the matchup into a set of mutually exclusive outcomes about the final margin. Historical matchups, travel, scheduling and roster availability all provide context, but each game's spread is primarily driven by the immediate pregame picture and any new information that surfaces before kickoff/puck drop/first pitch. Because the market has multiple outcomes, it encodes nuanced expectations about how large a margin each side might win by.
Market prices reflect the consensus view of traders about which side and what margin are most likely, and they will move as new information (injuries, lineups, weather, starting pitchers/goalies, etc.) becomes available. Read the contract rules for exact settlement definitions and use price movement as a signal of changing expectations rather than a fixed forecast.
The four outcomes partition the possible final-margin outcomes into distinct settlement ranges tied to which side covers by certain margins; check the market contract for the exact score-margin boundaries and wording that define each outcome.
Settlement occurs after the game is officially completed and final scores are published; the market will use the event's contract rules to specify whether overtime/extra periods are included and which official source is authoritative.
Late lineup changes typically cause rapid price movement as traders update expectations; the market absorbs such information quickly, so spreads can shift materially in the minutes and hours before the game starts.
Home advantage is a meaningful factor because of crowd influence, travel burden on San Jose, and familiarity with the venue, but its magnitude should be weighed alongside roster health, recent form, and matchup specifics rather than assumed to dominate every scenario.
Historical head-to-head results provide context about stylistic matchups and tendencies, but markets typically prioritize current-season rosters, injuries, scheduling and recent performance over long-ago results when setting the spread.