| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Boston wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 26.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 29.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 23.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Memphis wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur in the Boston at Memphis game; traders buy outcomes tied to different final-margin ranges. Spread markets matter because they aggregate information about expected competitiveness and react quickly to news that affects the likely margin.
This is an NBA-style matchup between a Boston team and a Memphis team; each team’s style, roster availability, and recent form shape expectations heading into the game. Historical matchups, travel and rest scheduling, and any roster changes (injury reports, load management, late scratches) are common drivers of movement in spread markets.
Market prices express how participants allocate belief across different margin ranges — higher prices indicate stronger market support for that outcome. Prices move as new information arrives (injuries, rotations, betting flow), so monitoring price changes is a way to track evolving expectations without relying on a single pregame line.
Markets like this typically close at or just before tip-off, but the exact close time is set by the platform — here it is listed as TBD, so check the market page for the official lock time and any last-minute updates.
The outcomes partition the full range of possible final margins into discrete intervals (e.g., team A wins by X–Y points, team B wins by Z–W points); the market page shows the exact mapping from each outcome to its margin range.
Late injury or rotation news is often the single largest driver of short-term price movement; such information typically causes rapid repricing, and traders often adjust positions or hedge once availability is confirmed.
Home-court usually provides a modest edge reflected in the spread; the practical impact depends on travel, rest, and team-specific home performance trends rather than a fixed value, so consider recent home/road splits and situational factors.
Head-to-head history can provide context (matchup tendencies, matchup-specific defenders) but is only one input — roster turnover, current season form, and situational context typically matter more than results from prior seasons.