| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| CJ McCollum: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many three-point field goals will be made in the Golden State at Atlanta game; it matters because three-point production often determines final scores, in-game dynamics, and settlement of outcome bins. Market participants use this event to express views on shooting volume and game script between these two teams.
Golden State and Atlanta have both been teams known for heavy perimeter shooting in recent years, and matchups between them frequently produce above-average three-point attempts. Coaching philosophies, roster construction (presence of elite shooters and floor spacers), and typical pace of play create a baseline expectation for how many threes will be attempted and made. Short-term factors — recent form, fatigue from travel, and any roster changes — can shift that baseline before tipoff.
Market prices reflect the collective expectations of traders about which three-pointer total outcome will occur and will move as new information arrives (injuries, confirmed rotations, late scratches). Treat prices as a live signal of shifting expectations rather than an immutable prediction.
A late scratch of a primary volume shooter reduces the expected number of team three-pointers and typically causes traders to reprice the market; the direction and magnitude depend on who replaces the player, minutes redistribution, and whether the team’s offensive scheme changes as a result.
The market is split into 15 discrete outcome buckets that cover different ranges or exact counts of three-pointers; each outcome represents one possible resolution bracket for the total three-pointers in the Golden State at Atlanta game as defined in the contract details.
Resolution depends on the platform’s contract rules for this market — common approaches are resolution using the official box score of the rescheduled game or voiding the market if no game occurs; check the market rule text on the event page for the authoritative resolution procedure.
Whether overtime counts is governed by the specific settlement rules on the market page; many sports markets include overtime in official totals, but you should confirm the contract’s resolution language for this event before trading.
Home-court factors can influence shooting: travel fatigue, familiarity with the rim and backdrop, crowd pressure, and defensive matchups can all change shooter efficiency and attempt volume. The precise effect varies by roster health, recent travel schedule, and how each coach plans to attack or defend the perimeter that night.