| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| LaMelo Ball: 25+ | 35% | 6¢ | 34¢ | — | $675 | Trade → |
| Kon Knueppel: 20+ | 51% | 44¢ | 51¢ | — | $481 | Trade → |
| LaMelo Ball: 20+ | 62% | 45¢ | 57¢ | — | $149 | Trade → |
| Daniel Gafford: 10+ | 48% | 35¢ | 48¢ | — | $111 | Trade → |
| Kon Knueppel: 15+ | 75% | 50¢ | 77¢ | — | $107 | Trade → |
| Kon Knueppel: 30+ | 12% | 0¢ | 12¢ | — | $96 | Trade → |
| Kon Knueppel: 25+ | 26% | 0¢ | 26¢ | — | $37 | Trade → |
| Miles Bridges: 15+ | 59% | 48¢ | 58¢ | — | $16 | Trade → |
| Moussa Diabaté: 20+ | 11% | 0¢ | 10¢ | — | $5 | Trade → |
| Brandon Miller: 20+ | 73% | 0¢ | 72¢ | — | $4 | Trade → |
| LaMelo Ball: 15+ | 84% | 55¢ | 82¢ | — | $3 | Trade → |
| Moussa Diabaté: 10+ | 61% | 52¢ | 61¢ | — | $3 | Trade → |
| Brandon Miller: 35+ | 12% | 0¢ | 10¢ | — | $2 | Trade → |
| Moussa Diabaté: 15+ | 29% | 0¢ | 30¢ | — | $2 | Trade → |
| Daniel Gafford: 15+ | 20% | 0¢ | 18¢ | — | $1 | Trade → |
| Miles Bridges: 10+ | 0% | 60¢ | 85¢ | — | $0 | Trade → |
| Daniel Gafford: 20+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Max Christie: 25+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Max Christie: 20+ | 0% | 0¢ | 30¢ | — | $0 | Trade → |
| Max Christie: 15+ | 0% | 38¢ | 55¢ | — | $0 | Trade → |
| Brandon Miller: 25+ | 0% | 0¢ | 46¢ | — | $0 | Trade → |
| Miles Bridges: 20+ | 0% | 2¢ | 28¢ | — | $0 | Trade → |
| Max Christie: 10+ | 0% | 0¢ | 85¢ | — | $0 | Trade → |
| Daniel Gafford: 25+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Brandon Miller: 30+ | 0% | 0¢ | 24¢ | — | $0 | Trade → |
| LaMelo Ball: 30+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| Miles Bridges: 25+ | 0% | 0¢ | 13¢ | — | $0 | Trade → |
This market aggregates trader expectations about the points outcome for the Dallas at Charlotte game, letting participants express beliefs about scoring ranges or totals. It matters because market prices can summarize real-time information about lineup, pace, and other factors that drive scoring.
Dallas and Charlotte each bring distinct offensive identities and personnel that shape scoring projections; markets like this reflect how traders update expectations as new information (injuries, rotations, rest) arrives. The specific structure and outcomes offered on this market (team total, game total, or point ranges) determine what traders are actually forecasting, so read the outcome labels carefully.
Market prices represent the collective expectation for the labeled scoring outcomes and move as participants incorporate new information; always confirm the contract terms (what counts as a point, whether overtime is included) before trading.
Check the market's outcome list on the platform: outcomes may represent the game total, a team total, or discrete point ranges. Each outcome label and the contract terms define what traders are buying or selling.
The closing time is shown on the market page and is currently TBD for this listing; many sports markets lock at the scheduled tip-off or a specified lock time, but confirm the market's stated close time before placing a trade.
Injuries to high-usage players typically shift expectations for points materially because they change usage distribution and minutes; monitor official injury reports, pregame confirmations, and lineup announcements, as markets usually react quickly to that news.
That depends on the contract definition for this specific market. Some markets include overtime in totals and some exclude it—check the market rules or description to see whether overtime points are counted.
Historical trends provide context but should be adjusted for roster changes, recent form, pace, and matchup-specific defensive metrics. Prior games are informative, but prioritize recent lineup, injury, and pace data when assessing expected scoring.