| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Deni Avdija: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Deni Avdija: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Deni Avdija: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Deni Avdija: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Deni Avdija: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which three-point-related outcome will occur in the NBA game between the Dallas and Portland teams. It matters to traders who want to express views on team shot selection, tempo, and game script without using point spreads.
Dallas and Portland have different offensive identities and personnel that drive three-point attempts: one team often features a high-usage lead scorer who creates looks from the perimeter, while the other relies on a rotation of catch-and-shoot wings and guards. Historical head-to-head matchups, recent form, and roster changes can shift how many and which types of three-point attempts each team will take in a given game.
Market prices reflect the collective view of traders about which discrete three-point outcome is most likely; higher-priced outcomes indicate greater market confidence while lower-priced outcomes indicate less. Use the market to compare your own read on tempo, matchups, and availability of shooters rather than as a fixed forecast.
The market close time is listed as TBD; when set, markets like this typically lock at or just before game tip-off or upon the first game event. Check the event page for the official close time and any last-minute changes.
For Dallas, the primary ball-dominant scorer and the team’s leading perimeter role players usually drive three-point volume; for Portland, look to the lead guards and established wing shooters in the rotation. Injuries or late scratches to any of these players materially change expectations.
Compare each team’s recent three-point attempt patterns, how they shot against similar defenses, and any changes in rotations; head-to-head data is useful but prioritize most recent rotation and pace indicators since those often have larger impacts on a single-game three-point profile.
A 10-outcome market usually splits the possible three-point event space into mutually exclusive labeled outcomes (for example, ranges for number of three-pointers or specific conditional events). Only the single outcome whose label matches the final game statistics will resolve as the winner; review the exact outcome descriptions on the event page before trading.
Late roster changes and substitution patterns can shift the distribution of three-point attempts quickly: a scratched shooter typically reduces expected perimeter attempts for that team, while a heavier bench or small-ball lineup can increase opportunities. Traders should monitor injury reports and in-game lineups and be prepared for rapid price movement.