| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Seattle wins by over 3.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Seattle wins by over 2.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Seattle wins by over 1.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland wins by over 1.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland wins by over 2.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland wins by over 3.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which spread outcome will occur in the Cleveland vs Seattle game — that is, how the final margin compares to the posted spread. It matters because the spread encapsulates expectations about which team will win and by how much, and trading reflects incoming news and sentiment about the matchup.
The Cleveland vs Seattle matchup carries context from each franchise's recent performance, roster construction, and coaching approach; those elements shift season to season and game to game. Travel, venue, and timing (regular season vs playoffs, weekday vs weekend) also influence preparation and game plans and therefore the likely margin of victory.
Market odds here represent how traders collectively price each possible spread outcome; they update as injury reports, lineup news, and other information arrive. Treat the quoted prices as a dynamic summary of market expectations, not definitive predictions.
The market close is listed as TBD; the trading window will typically end before game start or at a KALSHI-specified cutoff. Check the market page for the official close time once it is posted.
Each outcome corresponds to a specific result range relative to the posted spread (for example a particular side winning by a certain margin or within a band). The winning outcome is determined by the game’s official final score compared against that spread.
Injury reports that affect starters or key rotational players tend to move the market because they change expected scoring margins; early news allows prices to adjust gradually, whereas last-minute scratches can produce sharper movements.
The market is broken into multiple labeled outcomes to capture different margin bands or edge cases (including pushes or narrow vs large-margin wins), letting traders express views on more granular possibilities than a binary cover/no-cover bet.
Head-to-head history provides useful context about matchups and tendencies, but you should weight recent games more heavily and adjust for roster turnover, injuries, venue, and coaching changes that make older results less predictive.