| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| ✓ Kon Knueppel: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Kon Knueppel: 20+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Kon Knueppel: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kon Knueppel: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Brandon Miller: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Brandon Miller: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Brandon Miller: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Miller: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moussa Diabaté: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moussa Diabaté: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Moussa Diabaté: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Coby White: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Coby White: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Coby White: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Miles Bridges: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Miles Bridges: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miles Bridges: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miles Bridges: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ LaMelo Ball: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ LaMelo Ball: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| LaMelo Ball: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LaMelo Ball: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Jalen Brunson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Jalen Brunson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Jalen Brunson: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Brunson: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Brunson: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ OG Anunoby: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| OG Anunoby: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| OG Anunoby: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| OG Anunoby: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mitchell Robinson: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mitchell Robinson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mitchell Robinson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Hart: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Hart: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Hart: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Hart: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Mikal Bridges: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Mikal Bridges: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikal Bridges: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikal Bridges: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which points-related outcome will occur in the New York at Charlotte game, aggregating trader expectations about scoring outcomes for that specific matchup. It matters because it summarizes collective views on game tempo, offense, and player availability that drive scoring.
New York and Charlotte meet in an NBA regular-season matchup where scoring depends on each team’s roster, style, and matchup on the night. Historical encounters, venue (home-court), and season context (rest, schedule density, injuries) shape expected scoring patterns even as individual-game variance is high. Markets like this capture how new information—lineup news, scratches, or in-game developments—shifts collective expectations about total or player points.
Market prices reflect the crowd’s consensus expectation for the labeled points outcomes and will move as new information arrives; treat prices as real-time signals rather than fixed forecasts. Compare prices across outcomes and monitor news (injuries, rotations, coach comments) to understand why the market moves.
Each listed outcome corresponds to a specific points-based result as defined on the market page—commonly ranges or exact totals for the game or for individual players; consult the outcome labels on the market to see the exact scoring intervals or totals covered.
This market’s close time is listed as TBD; typically markets for a specific game close at or just before tip-off, but you should monitor the market page for the official close time and any platform announcements.
Watch pregame injury reports, official starting lineups, minutes guidance from coaches, and any late scratches for primary scorers or ball-handlers—those items are the most likely to alter expected points outcomes.
Coaches’ tendencies (pace-up vs slow-down, defensive matchups, playing small/large lineups) and how each team defends key scorers influence scoring rates; adjustments during the game can also change projected totals as the market reacts to on-court matchups.
Head-to-head history can inform tendencies—such as whether past matchups tended toward high- or low-scoring games—but use it alongside current-season form, roster changes, and situational factors (rest, injuries) because team composition and style can change season to season.