| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Charlotte wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on the point-spread outcome for the NBA game Miami at Charlotte. It matters because spreads aggregate information about team strength, injuries, and situational factors into tradable outcomes that reflect market expectations about the margin of victory.
Miami and Charlotte enter matchups with distinct styles: Miami typically emphasizes physical defense and halfcourt execution, while Charlotte often relies on pace and perimeter creation. Historical matchups, recent form, and roster availability (especially for star players) influence how competitive the game is expected to be; those dynamics are what traders try to capture in the spread market.
Prices in a spread market represent the market's consensus about how likely each spread outcome is relative to alternatives; they are signals about expectations, not guarantees. Traders use prices to compare their own views (based on scouting, injury news, or analytics) against the market and place trades when they see value.
The market typically closes at the official game start time listed by the league; if the game is postponed or rescheduled, exchanges generally update the close time or pause trading until a new start time is set. Check the market’s posted schedule and operator notices for official close times and any adjustments.
The outcomes correspond to discrete spread intervals or specific margin thresholds for the final score (for example, ranges of point-differential outcomes). Each outcome pays based on whether the final margin falls into that interval; consult the market rules or outcome descriptions for the exact ranges.
Availability of each team’s primary playmakers and interior defenders matters most—on Miami, top scorers and the primary rim protector; on Charlotte, the lead ball-handler and chief scoring creator. Late availability updates for those players can materially move the spread.
Settlement is based on the official final score and point margin once the game is completed according to the operator’s rules. Pre-game scratches typically change market prices before close; injuries occurring after the game starts generally do not change how the market settles unless the operator specifies alternative rules for abandoned games.
Consider home-court as one input: travel distance, time-zone effects, recent home/away records, and whether the home team has an especially strong crowd or matchups that benefit from the arena’s pace. Combine that with roster news and matchup factors to form a view about whether the market properly reflects the home advantage.