| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Golden State wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 22.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Washington wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Washington wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Washington wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur for the Golden State at Washington game, allowing traders to express views on the margin of victory rather than just the winner. Spread markets matter because they capture expectations about the scale of victory and react to late information that can move betting lines.
The matchup reflects the teams' current rosters, recent form, and schedule context — for example, back-to-back games, travel, or rest can shape expected margins. Historical matchups between Golden State and Washington, coaching matchups, and roster continuity (star players, role rotation) provide background but the market will price new information such as injuries or lineup changes. Because this is a multi-outcome spread market on KALSHI, its structure parses the possible margins into discrete outcomes rather than a single continuous line.
Market prices represent collective expectations about which spread bucket will occur; higher-priced outcomes signal less consensus that that specific margin will happen. Traders use those prices to compare their own read of the matchup and to time entries around news and lineup announcements.
The 11 outcomes partition the possible final point differentials into distinct buckets (for example, specific ranges where Washington covers by X points, a push, or Golden State covers). Consult the contract description on the market page for the exact point-differential cutoffs that correspond to each outcome.
The market's close and settlement times are listed on the contract page; if marked TBD, the exchange will update the timestamp once the schedule is finalized. Settlement normally occurs after the official game end and any overtime, per the platform's rules.
Late injury news generally shifts market prices because it changes expected margin; traders often react quickly to starting lineup and injury reports, so such announcements can alter which spread outcome is most likely priced in. Monitor the market and official team reports for confirmation.
Most spread contracts settle based on the official final score including any overtime periods, but you should verify the settlement rules posted on the specific KALSHI contract to confirm whether overtime is included.
Look at recent head-to-head results, how each team has performed against similar defensive/pace profiles, home vs. away splits, and minutes distribution for primary scorers; also factor in coaching tendencies for rotations and late-game lineups that influence margins.