| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| San Antonio wins by over 6.5 Points | 54% | 54¢ | 56¢ | — | $643 | Trade → |
| San Antonio wins by over 12.5 Points | 45% | 12¢ | 44¢ | — | $157 | Trade → |
| San Antonio wins by over 24.5 Points | 11% | 8¢ | 85¢ | — | $100 | Trade → |
| San Antonio wins by over 15.5 Points | 35% | 12¢ | 38¢ | — | $98 | Trade → |
| San Antonio wins by over 9.5 Points | 45% | 43¢ | 44¢ | — | $35 | Trade → |
| San Antonio wins by over 3.5 Points | 58% | 62¢ | 67¢ | — | $11 | Trade → |
| Los Angeles C wins by over 3.5 Points | 11% | 12¢ | 81¢ | — | $8 | Trade → |
| San Antonio wins by over 18.5 Points | 0% | 11¢ | 88¢ | — | $0 | Trade → |
| Los Angeles C wins by over 6.5 Points | 0% | 11¢ | 88¢ | — | $0 | Trade → |
| San Antonio wins by over 21.5 Points | 0% | 11¢ | 88¢ | — | $0 | Trade → |
This prediction market asks which spread range the final margin will fall into for the game Los Angeles C at San Antonio; it matters because spread outcomes summarize perceived relative strength and influence trading decisions. Traders use this market to express expectations about the final margin rather than just the winner.
The market sits over a single head-to-head game between the visiting Los Angeles C and home San Antonio team; historical head-to-head trends, recent form, and roster availability typically inform expectations. Scheduling details such as days of rest, recent travel, and any roster changes coming into the matchup shape how bettors and models assess likely margins. KALSHI’s market uses discrete outcome buckets (10 outcomes here) to cover ranges of final margins rather than a continuous number.
Market prices indicate how traders collectively expect the final margin to fall into each predefined range; higher price on a bucket reflects stronger market belief that the final margin will land in that range. Always check the market's resolution rules for the exact definition of each spread bucket and the official source used for the final score.
Each outcome corresponds to a predefined margin range (for example, buckets like 'visitor wins by X to Y' or 'home wins by A to B'); the market description on KALSHI lists the exact boundaries — trades on an outcome pay off if the final game margin falls inside that range.
The market will close according to the schedule set by the market operator before the game (often shortly before tip-off) and will resolve after the official final score is available; check the market page or KALSHI rules for the announced close time and the official data source used for resolution.
Most spread markets use the official final score including any overtime periods to determine the margin, but you should verify the specific resolution rules on the market page to confirm whether overtime is included.
Late confirmation that a team’s primary scorer, lead ball-handler, or defensive anchor will miss or play limited minutes typically shifts expected margins the most; changes to multiple starters or a sudden coaching absence also have outsized effects.
Thin liquidity can make individual outcome prices volatile and susceptible to large swings from small trades; in low-volume markets, supplement price signals with independent analysis of matchup factors, injury reports, and official pregame lineups before placing trades.