| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| New York wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 26.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 29.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 23.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which spread bracket will apply in the Golden State at New York basketball game; it matters because spread outcomes capture market expectations about the margin of victory and relative team strength on game day.
The market covers a single regular-season or postseason matchup between Golden State and New York and offers multiple discrete spread outcomes to reflect different margin bands. Venue, schedule timing, and roster construction typically shape expectations for this matchup; the market currently lists 11 possible outcomes and has a closing time listed as TBD on the exchange.
Prediction market odds express the consensus view of traders about which spread bracket is most likely; price movement reflects new information such as injury reports, rest decisions, and lineup changes rather than an objective guarantee of any outcome.
The official close time for this market is listed as TBD on the exchange; in practice, spread markets typically close shortly before tip-off, so check the KALSHI contract page for the definitive closing timestamp.
Each outcome corresponds to a specific spread bracket or margin band for the final score differential; consult the market's contract specification on KALSHI to see the exact bracket definitions and settlement rules.
Late injuries or rest announcements tend to trigger rapid price shifts as traders reprice the market; because settlement depends on the official box score and contract definitions, timely public information is the primary driver of those adjustments.
Consider east–west travel fatigue, time-zone differences, and whether either team is on a road or home-heavy stretch; those factors can affect shooting efficiency, turnover rates, and bench rotation decisions that influence the margin.
Head-to-head history provides context about matchup tendencies, but its predictive value is limited by roster turnover and recent form; prioritize current-season performance, matchup fit, and up-to-date availability when assessing spread outcomes.