| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Duke wins by over 27.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 36.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 39.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 42.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 45.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 30.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 24.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 33.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether Charleston will cover a specified point spread in its game at Duke. Spread markets matter because they focus on the margin of victory, not just who wins, and so highlight matchup and situational edges.
Duke is a nationally prominent program that typically plays its home games in a high-intensity environment; Charleston is a mid‑major program that may be underdog on the road. Differences in roster size, tempo, and travel routines often shape expectations for the margin rather than the binary winner.
Market prices reflect the collective expectation about which side will cover the posted spread and adjust as new information arrives. Use them as a real‑time signal of market sentiment—not a guarantee of the outcome.
Settlement follows the official final score of the game relative to the posted spread; details such as official game clock and scorekeepers determine the final margin. The market will close at the platform’s announced time (currently listed as TBD), and contracts resolve based on the spread applied to that final score.
Key items are pregame injury reports and confirmed starting lineups, sudden travel issues or player availability announcements, league disciplinary rulings, or major lineup changes disclosed in the hours before tipoff—any of these can materially shift the expected margin.
Playing at Duke typically increases the expected margin for the home team because of crowd impact, court familiarity, and reduced travel fatigue; the magnitude depends on venue intensity, crowd size, and how each team historically performs on the road.
Rebounding margin, turnover differential, free‑throw attempts and makes, three‑point shooting efficiency, and bench scoring tend to drive margins—teams that win those categories usually outperform the spread.
Questionable status increases uncertainty: monitor for final game‑day confirmations and coach comments. A confirmed absence of a primary scorer or defender can widen the expected margin, while a return or limited role can narrow it—price movements typically reflect how traders interpret that confirmation.