| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Charlotte wins by over 12.5 Points | 52% | 52¢ | 53¢ | — | $18K | Trade → |
| Charlotte wins by over 9.5 Points | 63% | 60¢ | 62¢ | — | $7K | Trade → |
| Charlotte wins by over 15.5 Points | 42% | 41¢ | 43¢ | — | $1K | Trade → |
| Charlotte wins by over 6.5 Points | 69% | 69¢ | 71¢ | — | $341 | Trade → |
| Charlotte wins by over 27.5 Points | 11% | 12¢ | 17¢ | — | $100 | Trade → |
| Charlotte wins by over 18.5 Points | 37% | 33¢ | 36¢ | — | $97 | Trade → |
| Charlotte wins by over 21.5 Points | 30% | 25¢ | 29¢ | — | $31 | Trade → |
| Dallas wins by over 3.5 Points | 11% | 11¢ | 13¢ | — | $28 | Trade → |
| Charlotte wins by over 3.5 Points | 83% | 76¢ | 80¢ | — | $17 | Trade → |
| Charlotte wins by over 24.5 Points | 21% | 19¢ | 24¢ | — | $10 | Trade → |
This market asks which point-spread outcome will occur when Dallas visits Charlotte; it matters because the spread encapsulates expectations about the margin of victory and is sensitive to real‑time news and matchups.
The market covers a single-game spread for a Dallas at Charlotte matchup and offers 10 distinct spread outcomes that traders can back. Historical head‑to‑head trends, recent team form, injuries, scheduling and situational factors (home field, travel, rest) typically drive how the market prices each spread bucket.
Market prices here reflect collective trader sentiment about which spread range will match the final box score; use prices as a dynamically updating signal rather than a fixed forecast.
Each outcome corresponds to a particular spread bucket or point-differential range for the final score; the market page lists the exact mapping and those outcome labels determine settlement.
The market close is listed as TBD; settlement typically occurs after the league’s official final score and box score are available, and the platform will follow its stated settlement rules once the game concludes.
Late injury or lineup changes can materially affect spread pricing—more so for high-usage starters—so traders often update positions or enter/exit based on the credibility and timing of that news.
Volume provides a rough sense of liquidity and engagement; this level indicates there is some market activity, but lower liquidity can allow larger price moves from individual trades, so consider order size relative to typical liquidity.
Look at recent head‑to‑head meetings, each team’s home and away splits, their last several games’ scoring margins and pace, matchup stats (e.g., QB vs. secondary, interior defense vs. frontcourt), and up‑to‑date injury reports and coaching tendencies.