| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Miles Bridges: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moussa Diabaté: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kon Knueppel: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miles Bridges: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Wells: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Wells: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moussa Diabaté: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moussa Diabaté: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miles Bridges: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kon Knueppel: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kon Knueppel: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Wells: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miles Bridges: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Wells: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kon Knueppel: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers traded outcomes tied to the total points scored in the Memphis at Charlotte game; it matters because totals markets let traders express views on game tempo, defense, and key player availability without picking a winner.
Memphis and Charlotte have distinct offensive and defensive profiles that shape scoring expectations: Memphis often emphasizes pace and transition scoring while Charlotte's output depends on spacing and perimeter efficiency. Injuries, rotations, and recent form can shift how many points each side produces, and head-to-head history can reveal matchup-specific trends that persist across meetings.
Market odds represent the collective expectation of participants about which point-range outcomes are most likely and will move as game-relevant information arrives (injuries, starting lineups, load management, etc.). Treat the market as a synthesized signal that updates in real time rather than a static forecast.
Watch the teams’ primary scorers and ball-handlers—those players set pace and volume—plus any bench scorers who typically provide a late-game scoring lift; their presence or absence will have an outsized effect on the total.
Late injuries typically move the market because they change scoring roles and rotation minutes; a lost primary scorer tends to lower expected totals unless replaced by an uptick in team-wide shot attempts, while a defensive substitution can push totals in the other direction.
Home-court can influence pace and comfort with offensive sets and rotations, and home coaching rotations or travel fatigue for the visitor can subtly shift scoring—so venue-specific tendencies and each team’s home/away scoring splits are relevant to this market.
The listed close time is TBD for this event; typically platforms close totals either at or shortly before tipoff, but you should check the exchange’s market page for the confirmed closing policy and any updates ahead of the game.
Look at recent head-to-head games for recurring patterns—whether their meetings have tended toward faster, higher-scoring affairs or slower, defensive contests—and consider whether current rosters and coaching staffs are comparable to those past matchups.