| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Golden State wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 22.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which spread-range outcome will occur when the Golden State Warriors play at the Detroit Pistons; it matters because spread outcomes summarize expected margins and are used by traders to express views on the game's likely point differential.
Golden State vs. Detroit is a matchup between a franchise known for high-volume perimeter scoring and a Detroit team that may emphasize different personnel and defensive approaches; matchup specifics (roster availability, recent form, travel and scheduling) shape expectations. Historical head-to-head context and recent meeting outcomes can inform but do not determine the market outcome, since rosters and circumstances change from game to game.
Market prices aggregate traders' beliefs about which spread bucket will occur; treat those prices as a snapshot of market consensus that can move with news, injuries, and in-game reports rather than as a fixed prediction.
The market close is listed as TBD; typically a spread market will close at or shortly before game start according to the exchange rules, so monitor the market page or official notifications for the exact closing time.
The 11 outcomes correspond to discrete point-differential buckets (specific margin ranges for which team covers); consult the market description on the exchange to see the exact score-margin cutoffs for each outcome.
A late injury to a high-impact player typically shifts expectations and can cause rapid reallocation of positions across outcomes; prices for outcomes favoring the affected team will generally adjust as traders incorporate the new information.
Home-court can be an important factor: travel, familiarity with the arena, and crowd influence can move the expected margin toward the home team, but the size of that effect depends on both teams' recent travel, rest, and roster health.
Settlement conventions vary by market; many spread markets use the official final score including overtime, but you must check this specific market's settlement rules on the exchange to confirm whether overtime is included or if there is a different policy for postponement or cancellation.