| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Luka Dončić: 30+ | 53% | 50¢ | 53¢ | — | $2K | Trade → |
| Luka Dončić: 25+ | 75% | 70¢ | 75¢ | — | $2K | Trade → |
| Karl-Anthony Towns: 25+ | 20% | 16¢ | 19¢ | — | $947 | Trade → |
| Austin Reaves: 20+ | 54% | 50¢ | 51¢ | — | $905 | Trade → |
| Jalen Brunson: 25+ | 62% | 57¢ | 59¢ | — | $892 | Trade → |
| Marcus Smart: 10+ | 35% | 35¢ | 37¢ | — | $792 | Trade → |
| Luka Dončić: 20+ | 90% | 85¢ | 90¢ | — | $696 | Trade → |
| OG Anunoby: 25+ | 14% | 9¢ | 12¢ | — | $579 | Trade → |
| Luka Dončić: 40+ | 8% | 15¢ | 16¢ | — | $545 | Trade → |
| Karl-Anthony Towns: 20+ | 42% | 39¢ | 42¢ | — | $444 | Trade → |
| Marcus Smart: 15+ | 8% | 8¢ | 12¢ | — | $372 | Trade → |
| Karl-Anthony Towns: 15+ | 72% | 71¢ | 72¢ | — | $284 | Trade → |
| Jalen Brunson: 35+ | 17% | 3¢ | 17¢ | — | $256 | Trade → |
| Deandre Ayton: 10+ | 41% | 38¢ | 43¢ | — | $180 | Trade → |
| Luka Dončić: 35+ | 32% | 26¢ | 33¢ | — | $175 | Trade → |
| Mitchell Robinson: 15+ | 2% | 0¢ | 2¢ | — | $100 | Trade → |
| Karl-Anthony Towns: 30+ | 7% | 4¢ | 7¢ | — | $100 | Trade → |
| Deandre Ayton: 20+ | 3% | 1¢ | 5¢ | — | $100 | Trade → |
| Mitchell Robinson: 20+ | 6% | 0¢ | 6¢ | — | $100 | Trade → |
| Josh Hart: 15+ | 34% | 27¢ | 32¢ | — | $98 | Trade → |
| Jalen Brunson: 20+ | 83% | 78¢ | 81¢ | — | $71 | Trade → |
| Josh Hart: 10+ | 65% | 60¢ | 66¢ | — | $71 | Trade → |
| Mikal Bridges: 10+ | 81% | 76¢ | 81¢ | — | $60 | Trade → |
| Mikal Bridges: 25+ | 8% | 1¢ | 7¢ | — | $58 | Trade → |
| OG Anunoby: 20+ | 33% | 31¢ | 33¢ | — | $44 | Trade → |
| Mitchell Robinson: 10+ | 16% | 11¢ | 17¢ | — | $42 | Trade → |
| Austin Reaves: 15+ | 79% | 74¢ | 77¢ | — | $42 | Trade → |
| Austin Reaves: 25+ | 28% | 24¢ | 27¢ | — | $17 | Trade → |
| OG Anunoby: 15+ | 63% | 59¢ | 64¢ | — | $15 | Trade → |
| Mikal Bridges: 15+ | 48% | 46¢ | 50¢ | — | $2 | Trade → |
| Josh Hart: 20+ | 11% | 6¢ | 11¢ | — | $1 | Trade → |
| Austin Reaves: 10+ | 97% | 91¢ | 95¢ | — | $1 | Trade → |
| Deandre Ayton: 15+ | 0% | 8¢ | 14¢ | — | $0 | Trade → |
| Jalen Brunson: 30+ | 0% | 34¢ | 35¢ | — | $0 | Trade → |
| Austin Reaves: 30+ | 0% | 8¢ | 12¢ | — | $0 | Trade → |
| Marcus Smart: 20+ | 0% | 0¢ | 3¢ | — | $0 | Trade → |
| Mikal Bridges: 20+ | 0% | 18¢ | 21¢ | — | $0 | Trade → |
| OG Anunoby: 10+ | 0% | 83¢ | 89¢ | — | $0 | Trade → |
This market asks how many points the Los Angeles L team will score in the New York at Los Angeles game; it matters because point-based markets let traders express views about in-game performance and react to late-breaking news like injuries or rotations.
The market sits within a single scheduled matchup between New York and Los Angeles L and offers 35 distinct scoring outcomes to capture fine-grained possibilities for Los Angeles L's point total. Contextual drivers include season-long scoring trends, head-to-head history, and last-minute changes (injuries, rest decisions, travel), all of which can shift expectations between posting and game end.
Prediction market prices reflect the consensus demand for each point outcome and can move quickly as new information appears; interpret prices as a market summary of beliefs, not fixed forecasts, and check the market page for settlement rules and timing.
Each outcome corresponds to a specific point total or defined point range for Los Angeles L in this game; consult the market descriptions on the exchange to see how the 35 outcomes are labeled and which totals or ranges they map to.
This market's close time is listed as TBD; the exchange will update the market page with a firm trading deadline—monitor the market page for real-time updates and official close notifications.
Whether overtime counts is specified in the market's settlement rules; some markets include overtime in the final point total and others do not, so check the event's settlement clause on the platform before trading.
Track pregame injury reports and active/player scratch lists, announced rotations and minutes guidance, recent scoring trends for key players, matchup-specific defensive metrics for the opponent, and any coach comments about game plans that could affect scoring.
Use a combination of recent box-score trends, matchup analytics (pace, defensive rating), injury and rotation news, and your risk tolerance: tighter outcome selections require greater confidence in a specific total, while selecting broader ranges or hedging across nearby outcomes reduces sensitivity to small variances.