| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Charlotte wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Charlotte wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders bet on the point-spread outcome for the Philadelphia at Charlotte game. Spreads condense expectations about the margin of victory and are useful for comparing market sentiment about the two teams.
Philadelphia and Charlotte bring different stylistic and roster profiles that shape spread expectations: one team may rely more on interior scoring and defense while the other leans on pace and perimeter shooting. Seasonal roster changes, injuries, and recent form can shift the matchup dynamic quickly, and historical head-to-head trends can provide context but don’t guarantee future results.
Prediction market prices represent the collective view of traders about which spread outcome will occur and update as new information arrives. Treat prices as a real-time consensus signal that will respond to lineup news, injury reports, and other game-day developments.
The platform will set a specific close time, typically at the game’s scheduled tip-off or when official closure is posted; because this event currently shows 'Closes: TBD', check the KALSHI event page for the confirmed close time before placing trades.
If Philadelphia lists a key starter as questionable or out, traders will reassess expected margin—missing a primary scorer or rim protector tends to move expectations and the spread; the market reacts quickly to official roster updates and pregame confirmations.
Monitor Charlotte’s starting lineup confirmations, any changes in rotation, recent shooting form (especially from beyond the arc), and whether their defense can contain Philadelphia’s primary scorers—these factors materially affect expected margin.
Zero volume indicates little or no trading activity so far, meaning quoted prices (if present) are based on minimal liquidity and can move dramatically with small trades; a lack of volume reduces the robustness of the market signal until participants provide more liquidity.
The four outcomes correspond to different, mutually exclusive spread scenarios or margin brackets for the final score; each outcome pays if the final margin falls into that bracket—refer to the market description on KALSHI for the exact bracket definitions and settlement rules.