| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Golden State wins by over 6.5 Points | 50% | 47¢ | 50¢ | — | $20K | Trade → |
| Golden State wins by over 3.5 Points | 61% | 59¢ | 61¢ | — | $3K | Trade → |
| Chicago wins by over 3.5 Points | 25% | 23¢ | 25¢ | — | $3K | Trade → |
| Golden State wins by over 9.5 Points | 34% | 35¢ | 38¢ | — | $1K | Trade → |
| Golden State wins by over 15.5 Points | 23% | 19¢ | 23¢ | — | $691 | Trade → |
| Golden State wins by over 12.5 Points | 30% | 28¢ | 30¢ | — | $388 | Trade → |
| Golden State wins by over 21.5 Points | 13% | 10¢ | 12¢ | — | $254 | Trade → |
| Golden State wins by over 18.5 Points | 20% | 13¢ | 18¢ | — | $122 | Trade → |
| Chicago wins by over 6.5 Points | 19% | 15¢ | 19¢ | — | $115 | Trade → |
| Chicago wins by over 9.5 Points | 11% | 11¢ | 14¢ | — | $31 | Trade → |
This market asks how the point spread will resolve in the NBA game Chicago at Golden State; it matters because spread markets let traders express views on expected margin of victory rather than just the outright winner.
Golden State is the home team and the matchup combines two distinct styles of play, with implications for pace, three-point attempts, and defensive matchups. Historical head-to-heads, recent form, injury status, and scheduling (rest, back-to-backs, travel) are the main contextual factors that typically move spread expectations.
In a spread market each outcome corresponds to a specific margin or range of margins; market prices aggregate participants' expectations about which margin will occur. Use those prices as a real-time consensus signal, and adjust for information that may not yet be reflected (late injuries, lineup changes, weather for travel, etc.).
Spread markets commonly close at or shortly before tip-off to avoid in-game information leaks; a listed close time of TBD means the platform has not fixed the cutoff yet — check the live market page for the final close time as the game approaches.
Each outcome represents a discrete spread result or margin range (for example specific point-differential buckets); the market will pay out the outcome that matches the game's final score margin according to the market's defined buckets — consult the market's outcome descriptions for exact boundaries.
Treat confirmed absences of starters or key rotation players as major inputs because they change expected points and defensive matchups; weigh the likely replacement minutes, matchup impacts, historical plus/minus of replacements, and timing of the announcement (late news is more likely not yet reflected in prices).
Home-court typically shifts expected margin in favor of the home team through crowd effects, familiar routines, and travel fatigue for the visitor; how large that shift is depends on the teams' relative home/away records, travel schedule, and roster continuity.
Yes — pregame rotation announcements (e.g., reduced minutes for a starter) and in-game adjustments (different offensive/defensive schemes, foul trouble, or bench hot streaks) can change pace and scoring balance enough to move the final margin between outcome buckets.