| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Golden State wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-spread outcome will resolve for the NBA game Golden State at Dallas; it's useful because spread markets aggregate information about expected margin and react to pregame news that affects which side covers.
Golden State and Dallas are regularly high-profile Western Conference opponents whose matchups hinge on star scoring, pace, and three-point efficiency. Historically, games between these teams can produce volatile lines when offensive stars heat up, when back-to-back schedules or travel fatigue are factors, or when late injury news changes expected rotations.
In this spread market, each outcome corresponds to a specific spread scenario or side; market prices reflect the collective view of which spread will be correct and update as new information (injuries, starting lineups, rest) becomes available.
The event page currently lists the close as TBD; on most exchanges spread markets close at or shortly before game tip-off, but check the KALSHI platform for the official close time for this specific market.
Each outcome corresponds to a distinct spread line or side (for example a particular team covering by a specified margin or a range); exactly one outcome will resolve true based on the game’s final margin.
Late injury reports and lineup changes are primary drivers of price movement — the market typically rebalances quickly when a key starter is ruled out or questionable status changes to out, so traders monitor official reports and team announcements closely.
Primary scorers and creators (for example Golden State’s leading shooter/guard and Dallas’s primary ball-handler/scorer) plus their defensive matchups and the availability of interior defenders or key role players most directly influence the expected margin.
Most spread markets resolve using the official final score including any overtime periods; if the game is postponed or canceled, resolution follows KALSHI’s stated event rules — that can include voiding or extending the market, so consult the platform’s resolution policy for this event.