| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Miles Bridges: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miles Bridges: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kon Knueppel: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kon Knueppel: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bam Adebayo: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miles Bridges: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moussa Diabaté: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Davion Mitchell: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bam Adebayo: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moussa Diabaté: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Davion Mitchell: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Davion Mitchell: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miles Bridges: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bam Adebayo: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bam Adebayo: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moussa Diabaté: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kon Knueppel: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kon Knueppel: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders buy and sell specific point outcomes tied to the Miami at Charlotte game; it aggregates collective expectations about scoring and can be used to express views or hedge exposure to game scoring.
Miami (Heat) and Charlotte (Hornets) bring distinct styles that influence scoring: Miami has often emphasized defense and halfcourt execution, while Charlotte typically pushes pace and relies on perimeter scoring. Game-level scoring is shaped by roster availability, recent form, schedule context (back-to-backs, travel) and matchup-specific tendencies between the two teams.
Market prices reflect the consensus view of participants and update as new information arrives; treat them as a dynamic signal that incorporates public news, injury reports, and trader sentiment, but remember liquidity and timing affect how informative prices are.
They represent 39 distinct point outcomes the market is trading (specific totals or ranges). The market description on the platform shows exactly whether outcomes map to total game points or to a particular team’s points and how each outcome is defined.
The market's close time is set by the operator and displayed on the market page; because this listing currently shows the close as TBD, check the market page for the official closing time before placing trades — trading typically stops shortly before game start or at the operator’s announced cutoff.
Starters and primary rotation changes matter most: confirmed absences or minute restrictions for high-usage scorers, changes to starting lineups, and unexpected rest designations all have direct, often large impacts on scoring expectations.
Head-to-head history provides context but must be adjusted for pace, roster turnover, and sample size; prioritize recent season trends and current roster/usage patterns over older matchups when estimating scoring outcomes.
Low volume can produce wider spreads and more volatile, less reliable prices — it may be harder to enter or exit positions at favorable prices and market prices may lag major news until liquidity increases, so factor liquidity risk into trade sizing and timing.