| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Saddiq Bey: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zion Williamson: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trey Murphy III: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saddiq Bey: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trey Murphy III: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trey Murphy III: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saddiq Bey: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Trey Murphy III: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derik Queen: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saddiq Bey: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zion Williamson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Herbert Jones: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Herbert Jones: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derik Queen: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derik Queen: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Herbert Jones: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zion Williamson: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zion Williamson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zion Williamson: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders speculate on the combined points scored in the Cleveland at New Orleans NBA game. It matters because total scoring reflects pace, personnel changes, and matchup dynamics distinct from betting on the winner.
Cleveland and New Orleans have different offensive styles and roster compositions that influence scoring tendencies; individual matchups and recent form can shift expected totals. The event lists 25 outcomes that represent discrete point-total possibilities or bands — consult the outcome labels on the event page for exact definitions.
Market prices/odds aggregate the views of participants about which point-total outcome is most likely and update as new information arrives. Use those prices as a real-time sentiment indicator alongside independent data (injuries, pace, rotations).
Resolution typically occurs once the league has declared the game final and the official combined points are posted by the data provider referenced in the event rules; check the event page for the specific resolution source and timing.
The 25 outcomes map to specific point-total outcomes or ranges as labeled on the event page—these can be exact totals, threshold bands, or bucketed ranges, so review the outcome descriptions to know which combined-point results trigger each outcome.
Some points markets include overtime while others are regulation-only; the event description or resolution rules will state which applies—if it’s not explicit, consult the platform’s rules or support.
Monitor the official injury/inactive list, announced starting lineups and rotation changes, in-season pace and scoring trends for both teams, any late scratches, and travel/rest status that could slow or speed the game.
Historical head-to-head and venue data provide context (e.g., whether games at New Orleans tend to be higher- or lower-scoring), but adjust for roster turnover, current-season form, and sample size limitations—combine historical patterns with up-to-date metrics and injury information.