| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Detroit wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 22.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 31.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 28.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 25.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how the point spread will resolve for the Memphis at Detroit game — essentially which margin-of-victory bucket will occur. Spread markets matter because they reflect expectations about relative team strength and game conditions beyond just win/loss.
Memphis and Detroit are NBA teams with different styles: Memphis typically emphasizes transition scoring and perimeter play, while Detroit leans on interior size and playmaking. Recent form, injuries, lineup changes, and home-court effects all shape expectations for a given matchup. Because rosters and schedules change frequently, contextual factors around the game date are critical for interpreting market moves.
Odds in a spread market indicate how traders collectively expect the margin of victory to fall into each outcome bucket; higher-priced outcomes reflect less consensus that those margins will occur. Use the odds to compare market sentiment across outcomes, not as fixed predictions, and consult KALSHI's settlement rules for exact definitions of each outcome.
They are discrete margin-of-victory buckets (ranges of final score differentials) covering possible spread outcomes; check the market page for the exact numeric ranges for each bucket.
Closure typically aligns with the scheduled game start or a platform-defined pregame cut-off; monitor the event listing and KALSHI announcements for the confirmed close time as the game date approaches.
Late availability changes can move the market quickly because they alter expected team performance; traders often reprice outcomes once official injury reports and starting lineups are announced.
Settlement for postponements or cancellations follows KALSHI's documentated resolution policies—markets may be voided, suspended, or settled according to the platform's rules; check KALSHI's event resolution policy for specifics.
Head-to-head history can provide context on matchup tendencies, but prioritize recent games, current rosters, and situational factors (injuries, rest, venue) since team composition and form change over time.