| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Charlotte wins by over 6.5 Points | 51% | 16¢ | 60¢ | — | $187 | Trade → |
| Charlotte wins by over 12.5 Points | 47% | 11¢ | 47¢ | — | $102 | Trade → |
| Charlotte wins by over 15.5 Points | 0% | 11¢ | 61¢ | — | $0 | Trade → |
| Miami wins by over 9.5 Points | 0% | 11¢ | 44¢ | — | $0 | Trade → |
| Miami wins by over 6.5 Points | 0% | 11¢ | 51¢ | — | $0 | Trade → |
| Miami wins by over 3.5 Points | 0% | 11¢ | 60¢ | — | $0 | Trade → |
| Charlotte wins by over 9.5 Points | 0% | 11¢ | 71¢ | — | $0 | Trade → |
| Charlotte wins by over 21.5 Points | 0% | 11¢ | 44¢ | — | $0 | Trade → |
| Charlotte wins by over 18.5 Points | 0% | 11¢ | 52¢ | — | $0 | Trade → |
| Charlotte wins by over 3.5 Points | 0% | 51¢ | 86¢ | — | $0 | Trade → |
This market asks how the point spread will fall for the Miami at Charlotte game; it matters because spread markets aggregate trader expectations about margin of victory and respond quickly to news that affects the matchup.
Miami and Charlotte are NBA franchises with contrasting roster profiles and styles of play; recent matchups, roster turnover, and scheduling (back-to-backs, travel) all shape expected margins. The market currently shows $289 in traded volume across 10 discrete spread outcomes and the market close time is listed as TBD, so participants should monitor updates and official market notices.
Market prices here reflect the collective view of which spread bucket is most likely and will move as new information arrives; interpret prices as a real‑time signal of sentiment rather than a fixed prediction.
They represent ten discrete spread buckets or margin ranges; each outcome pays out if the official final point differential falls within that bucket when the market resolves.
Resolution will occur after the game ends according to the exchange’s rules and the official box score; the market page will update with the exact close and settlement timing once the event schedule is finalized.
Starters and primary rotation pieces—such as each team’s leading scorers, primary playmakers, and rim defenders—are most impactful; any last‑minute absences or heavy minute reductions for those players can materially change the expected margin.
Head‑to‑head results give context on matchup tendencies (e.g., which team typically controls pace or exploits matchup advantages), but weigh recent form and roster changes more heavily since personnel and coaching adjustments can alter repeat outcomes.
Official injury reports and morning practice/inactive announcements, starting lineup confirmations, rest reports and travel notes, and credible reports of tactical changes or rotations are the main drivers of price movement in spread markets.