| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Detroit wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market trades the point-spread outcome for the New Orleans at Detroit game, letting participants bet on which margin-range the final score will fall into. Spread markets matter because they aggregate public and professional views about game competitiveness and margin drivers.
New Orleans and Detroit are NFL teams with different offensive and defensive profiles; recent roster changes, coaching adjustments, and home-field factors have shaped past lines between these clubs. The market’s 10 discrete outcomes represent alternative spread ranges that traders can choose between, and prices will incorporate game-week information up to the platform’s close (Closes: TBD).
Market prices reflect the collective market view about which spread-range is most likely to occur; use price movement and volume as signals of changing expectations rather than guaranteed outcomes. Interpret prices as comparative indicators of market confidence in each spread outcome and monitor updates as new information arrives.
Each outcome corresponds to a specific range of final point differentials; after the official final score is recorded by the league, the market outcome whose range contains that point differential is resolved as the winner. Consult the platform’s outcome labels for the exact numerical ranges prior to trading.
The platform will set and announce the market’s official cutoff time before kickoff; expect the market to close at or shortly before game start per the exchange’s stated rules—watch the market page for the finalized close time.
A confirmed absence of a key starter typically shifts market expectations toward outcomes reflecting a larger advantage for the opponent or a different margin profile; the magnitude and direction of movement depend on the backup’s perceived quality, offensive scheme adjustments, and corresponding defensive implications.
Past matchups provide context about stylistic clashes and coaching tendencies, but their predictive value is limited by roster turnover and situational differences; traders should weigh historical patterns alongside current-season form, injuries, and matchup-specific metrics.
Resolution follows the exchange’s official rules and relies on the league’s authoritative final score and event status; if the league postpones or cancels the game, the platform will apply its stated contingency and resolution policy—check KALSHI’s resolution guidelines for details.