| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Detroit wins by over 1.5 Points | 55% | 54¢ | 55¢ | — | $47K | Trade → |
| Detroit wins by over 2.5 Points | 49% | 48¢ | 49¢ | — | $33K | Trade → |
| Detroit wins by over 7.5 Points | 34% | 34¢ | 36¢ | — | $7K | Trade → |
| Cleveland wins by over 2.5 Points | 39% | 36¢ | 38¢ | — | $5K | Trade → |
| Detroit wins by over 5.5 Points | 39% | 39¢ | 40¢ | — | $2K | Trade → |
| Cleveland wins by over 4.5 Points | 29% | 29¢ | 32¢ | — | $2K | Trade → |
| Cleveland wins by over 1.5 Points | 42% | 40¢ | 41¢ | — | $969 | Trade → |
| Detroit wins by over 4.5 Points | 42% | 43¢ | 44¢ | — | $932 | Trade → |
| Detroit wins by over 8.5 Points | 28% | 28¢ | 32¢ | — | $430 | Trade → |
| Detroit wins by over 16.5 Points | 13% | 11¢ | 13¢ | — | $212 | Trade → |
| Cleveland wins by over 5.5 Points | 32% | 27¢ | 30¢ | — | $160 | Trade → |
| Cleveland wins by over 14.5 Points | 11% | 7¢ | 11¢ | — | $111 | Trade → |
| Detroit wins by over 13.5 Points | 18% | 15¢ | 19¢ | — | $53 | Trade → |
| Cleveland wins by over 11.5 Points | 16% | 12¢ | 16¢ | — | $31 | Trade → |
| Detroit wins by over 14.5 Points | 16% | 13¢ | 17¢ | — | $11 | Trade → |
| Detroit wins by over 10.5 Points | 19% | 24¢ | 26¢ | — | $5 | Trade → |
| Detroit wins by over 11.5 Points | 17% | 20¢ | 23¢ | — | $5 | Trade → |
| Detroit wins by over 17.5 Points | 11% | 11¢ | 13¢ | — | $5 | Trade → |
| Cleveland wins by over 10.5 Points | 0% | 14¢ | 18¢ | — | $0 | Trade → |
| Cleveland wins by over 7.5 Points | 0% | 22¢ | 26¢ | — | $0 | Trade → |
| Cleveland wins by over 8.5 Points | 0% | 20¢ | 22¢ | — | $0 | Trade → |
| Cleveland wins by over 13.5 Points | 0% | 11¢ | 14¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome for the Detroit at Cleveland matchup; it matters because spread markets aggregate information about expected margin and react to news that can affect the final score.
The market lists 22 distinct spread outcomes that cover different final-margin scenarios between Detroit and Cleveland, allowing for granular betting on how close or lopsided the game will be. Historical matchups between these franchises, recent roster moves, and situational factors (home/away, short weeks, travel) typically shape price movements in the lead-up to the game.
Market prices represent the consensus view among traders about which spread outcome is most likely to occur and update as new information becomes available; interpret them as a real-time aggregation of informed opinions rather than a fixed prediction.
Each outcome corresponds to a specific point-spread interval or exact margin listed by the market; each outcome pays out if the final game margin falls within that outcome’s defined range, so review the outcome descriptions on KALSHI for the exact definitions.
Because the close time is listed as TBD, consult the KALSHI platform for the final close time — markets of this type typically close shortly before the game’s official start or when the platform posts a definitive close; plan to trade up until that announced cutoff.
Settlement follows KALSHI’s event rules: if the game does not occur as scheduled or is voided under the exchange’s policies, positions may be canceled and funds returned according to those rules; check the exchange’s settlement policy for specifics.
Rapid price movement usually reflects new, game-specific information — injury reports, starting lineup announcements, weather updates, or sharp trader activity — so treat sharp intraday changes as signals to re-evaluate underlying fundamentals rather than as guarantees.
Yes — injury and lineup news typically move the spread market quickly because they materially change expected scoring margins; liquidity and the number of active traders at that moment will determine how large and fast the adjustment is.