| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Charlotte over 100.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte over 103.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York over 99.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on the point totals scored by New York and Charlotte in a specific game; it matters because team-total markets isolate scoring expectations for each side and are sensitive to matchup, injury, and tempo news.
This is an NBA team-totals style market for New York at Charlotte, offering multiple over/under outcomes across a range of point benchmarks for each team. Historical scoring trends between the clubs, each team’s season-long offensive and defensive metrics, and game-specific factors such as rest, travel, and injuries all shape expectations that participants trade on. Because there are many outcomes, the market provides a fine-grained picture of how traders view plausible scoring scenarios for each side.
Market prices reflect the collective view of participants about likely scoring outcomes and will move as new information (injuries, starting lineups, pace indicators) becomes available. Treat prices as real-time signals of changing expectations rather than static forecasts.
They correspond to a set of discrete over/under point thresholds offered for the two teams (multiple lines per team across a range of totals); check the market page to see which specific thresholds map to which outcome IDs.
The market close time is listed as TBD; typically team-totals markets close shortly before the scheduled game start, but you should monitor the KALSHI event page for the official posted close time and any platform notifications.
Settlement is based on the official game score recorded in the league box score; whether overtime is included can vary by platform, so consult the KALSHI market rules or the event’s settlement terms to confirm whether overtime points are counted.
Injury and lineup news directly affects expected scoring—loss of a primary scorer or changes to usage-heavy players can lower a team’s total, while promotions from the bench can raise it; watch pregame reports and update positions accordingly because market prices typically move quickly on that information.
Head-to-head history provides context on matchup tendencies but is less predictive than current-season metrics, roster changes, and recent form; use head-to-head as one input alongside pace, defensive matchups, and present availability.