| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Brooklyn wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 26.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 23.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 32.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 29.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which spread outcome will occur in the Brooklyn at Portland game, letting traders take positions on different point-differential brackets. It matters because spread markets summarize collective expectations about game competitiveness and can be used for trading or hedging around the matchup.
Brooklyn and Portland are NBA teams with different roster compositions and strategic tendencies; matchups often come down to perimeter scoring, defensive matchups, and pace. Outcomes for a single-game spread are influenced by short-term factors (injuries, rest, rotations) as well as longer-term trends (recent form, coaching strategy). Because the event closes before tip-off, last-minute developments can shift market sentiment quickly.
Each outcome price reflects how the market is betting that the final point differential will fall into that outcome's bracket; higher prices indicate stronger market demand for that bracket, not a guarantee. Treat prices as a real-time consensus signal that updates with news, in-game events, and trader activity.
The event page lists the close as TBD; typically KALSHI and similar platforms finalize the market close before official tip-off, and they may update the close time on the event page as the game approaches.
The 11 outcomes divide the possible final point differentials into distinct spread brackets offered by the market, with some outcomes favoring Brooklyn covering by various margins and others favoring Portland; each outcome corresponds to a specific point-differential range set by the market.
Late-breaking injury news, starting lineup confirmations, coach announcements about rotations or rest, and significant betting flow from informed traders typically cause the largest pregame price shifts.
Home-court usually provides advantages—familiarity, crowd influence, and less travel—which can tighten expected margins; quantify its importance alongside roster status and recent home/away performance rather than assuming a fixed effect.
Head-to-head history offers context but is often less predictive than recent team form, current rosters, and availability; use historical results as one input among matchup data, injuries, and situational factors like rest.