| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Orlando wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which side will cover the point spread in the Orlando at Charlotte game; it matters because spread outcomes reflect not only who wins but by how many points the game is decided.
Orlando (visiting) and Charlotte (home) bring different rosters, styles, and recent forms into this matchup; daily rotations, injury news, and coaching matchups can change expectations quickly. Spread markets convert those expectations into tradable discrete outcomes, so pregame developments and in-game news often move market prices.
Each listed outcome corresponds to a particular spread result or point-differential bucket; market prices represent traders’ consensus views on which bucket will occur and should be read as informational signals rather than guarantees.
Markets of this type typically close at or shortly before the scheduled tipoff; the exact close timestamp is set by the platform — check the market page or platform rules for the definitive closing time.
The 11 outcomes correspond to discrete point-differential buckets or specific spread results (which side covers by certain margins); consult the market description on the platform to see the exact labels and settlement conditions for each outcome.
The loss of a primary playmaker typically reduces a team’s expected scoring and playmaking, alters rotations, and can materially change which side is favored to cover; traders watch official injury reports and starting lineup confirmations for these effects.
Head-to-head trends can highlight matchup tendencies (pace, who defends whom, home/away patterns), but treat small-sample series and roster changes cautiously — prioritize current-season form, health, and lineup matchups over distant results.
Settlement rules depend on the market’s design: some spread markets include a distinct outcome for a push or exact margin, while others treat pushes according to platform rules; always review the market’s settlement terms before trading.