| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cooper Flagg: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| P.J. Washington: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| P.J. Washington: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Klay Thompson: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Naji Marshall: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Christie: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Christie: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| P.J. Washington: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brook Lopez: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| John Collins: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Daniel Gafford: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Daniel Gafford: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brook Lopez: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| John Collins: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Daniel Gafford: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darius Garland: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Klay Thompson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Klay Thompson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Naji Marshall: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darius Garland: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darius Garland: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darius Garland: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Daniel Gafford: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| John Collins: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Christie: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Naji Marshall: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Christie: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Naji Marshall: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brook Lopez: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| John Collins: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| P.J. Washington: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick Jones Jr.: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many points the Los Angeles C team will score in their road game at Dallas; it matters because point-based markets capture expectations about game flow, offensive performance, and matchup effects that traders can act on.
Scoring outcomes between Los Angeles C and Dallas reflect both clubs' offensive systems, habitual pace, and defensive matchups; historical results can provide context but must be adjusted for current rosters and scheduling. Markets with many discrete outcomes let traders express fine-grained views on likely point totals rather than a single over/under line.
Odds in this market represent the market's collective view of which point totals or ranges are most plausible; they update as new information (injuries, starting lineups, rest, betting flow) becomes available and should be read as relative signals, not guaranteed forecasts.
The listed closing time is TBD; markets like this commonly close at or just before game start or at a platform-specified cutoff—check the contract page or platform notices for the final close time.
This market offers multiple discrete outcomes representing different total-point ranges or exact point totals for Los Angeles C; consult the outcome list on the contract page to see the exact bands or thresholds traders can choose between.
Whether overtime counts depends on the contract rules for this market; review the event description or rulebook on the platform to confirm if overtime, cancellations, or shortened games are included.
Late injuries and confirmed lineup changes are high‑impact information: they can change expected scoring by altering minutes and usage for key players, so markets typically react quickly—monitor official team reports and updates before trading.
Use recent head‑to‑head scoring trends, team and opponent offensive/defensive efficiencies, pace metrics, and typical home vs. away splits as context, but always adjust for current roster availability and scheduling differences that make past games imperfect predictors.