| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Derrick Jones Jr.: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bennedict Mathurin: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bennedict Mathurin: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brook Lopez: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard: 40+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matas Buzelis: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matas Buzelis: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matas Buzelis: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Giddey: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brook Lopez: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bennedict Mathurin: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bennedict Mathurin: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Giddey: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Giddey: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Giddey: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matas Buzelis: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bennedict Mathurin: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brook Lopez: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many points will be scored in the Chicago at Los Angeles C game; it matters because aggregated market prices can reveal collective expectations about scoring and game flow before and during the contest.
The Chicago at Los Angeles C matchup brings together two franchise identities with different styles, roster compositions, and home-court factors; historical meetings, travel, and the current season schedule all shape scoring expectations. Markets like this aggregate information from bettors, news, and real-time updates (injuries, lineup changes, rest) that can move expectations quickly.
Prediction market odds here indicate how much market support each point-range outcome has received relative to others; use odds movements and liquidity as signals about changing information rather than as fixed forecasts.
The event page lists trading open now but the market closing time is TBD; most platforms close markets at or just before official game start or according to their published resolution policy, so monitor the platform for the final close time.
Outcomes are settled using the official game scoring source named by the platform (final score at the end of regulation or the settlement rule provided by KALSHI); if the game is postponed, suspended, or cancelled, the market will follow the operator's contingency and resolution procedures.
Announcements about the availability or minutes of high-usage scorers and primary ball-handlers on either team, plus confirmed starting lineups and any key bench role changes, will have the largest impact on expected total points.
Treat late injury reports and rest designations as high-value signals: missing starters or limited minutes typically lower expected scoring, while unexpected healthy returns increase it; watch for official minute projections and coach comments that can shift market expectations quickly.
Head-to-head trends can provide context (venue scoring tendencies, recent matchup patterns), but their predictive value is limited by roster turnover, coaching changes, and situational factors — use them as one input among current-season form and immediate news.