| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Brook Lopez: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brook Lopez: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| John Collins: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Herbert Jones: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saddiq Bey: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zion Williamson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zion Williamson: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Herbert Jones: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trey Murphy III: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saddiq Bey: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Herbert Jones: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| John Collins: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derik Queen: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trey Murphy III: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard: 40+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derik Queen: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zion Williamson: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saddiq Bey: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trey Murphy III: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derik Queen: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trey Murphy III: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Herbert Jones: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derik Queen: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| John Collins: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saddiq Bey: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brook Lopez: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| John Collins: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zion Williamson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders bet on the number of points the Los Angeles C team will score in their road game at New Orleans; it matters because the market aggregates real-time expectations about scoring based on injuries, rotations, and pace. Outcomes can be used by bettors and analysts to express and gauge views on offensive performance for this specific matchup.
The market covers a single-game scoring outcome between Los Angeles C (visiting) and New Orleans (home), offered on KALSHI with 31 discrete outcomes and a listed close time of TBD. Historical scoring between these teams, roster changes, and season-long offensive and defensive trends provide context for how likely different point totals are; late-breaking news such as lineup announcements and injuries often drives biggest price moves.
Market prices indicate the collective expectation for Los Angeles C's point total in this particular game and will move as new information arrives; interpret them as a dynamic summary of market sentiment rather than a guaranteed forecast.
The event page lists the close time as TBD; KALSHI typically posts a final close before game start—check the market page for the official closing timestamp because settlement depends on that time.
Each outcome corresponds to a specific points total or a defined point-range for the Los Angeles C team in this game; the market description on KALSHI shows the exact mapping of outcomes to totals or ranges.
Settlement will use the official game box score for Los Angeles C's team points as reported by the designated official source in the market rules; if the game status changes (postponement, cancellation), KALSHI's published settlement policy for such events applies.
Late injury reports, announced resting of starters, lineup changes, and confirmed rotations are the most influential pregame factors because they alter expected usage and minutes for primary scorers.
Use head-to-head scoring, recent offensive output, and lineup usage as inputs to form an expectation for this game, but weight them against current roster availability and situational factors (rest, travel, coaching strategy) since small samples and changing roles can make historical numbers misleading.