| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Detroit wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders bet on how the Boston team will perform relative to a point spread in their road game at Detroit; it focuses on margin of victory rather than just the winner. It matters because spread prices synthesize real-time information — injuries, lineup news and public sentiment — into a single market signal.
The market covers a single Boston at Detroit matchup; spreads are commonly used in indoor team sports to handicap expected scoring differences. Historical head-to-head results, current-season form, roster changes, and scheduling (rest and travel) all provide context, but each game is also affected by short-term developments like late scratches or strategic rotations.
In a spread market, prices reflect whether the favorite is expected to 'cover' the specified margin; movement in price indicates how new information is changing market expectations about the margin of victory. Traders should read the market description closely to understand the exact spread thresholds and outcome definitions for this contract.
The market's official close time is listed as TBD on the event page; in practice, many spread markets close at or just before the scheduled game start, but check the market page for the final published close time and any updates.
The four outcomes correspond to mutually exclusive spread/result ranges tied to the final margin in the Boston at Detroit game; consult the market description on the platform to see the exact thresholds and how each outcome is defined.
Late injuries or scratches to starters typically move spread prices because they change expected scoring and matchup balance; the market will usually react quickly as participants adjust positions or new information is published.
Yes — playing at home can influence crowd impact, routine, and travel fatigue for the visitor, all of which are factored into spread-setting and how traders value the margin for this particular Boston at Detroit game.
Head-to-head history can provide context on matchup tendencies, but it should be weighted alongside current roster composition, injuries, recent form, and scheduling — past results are informative but often less predictive after significant roster or coaching changes.