| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Duke wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clemson wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clemson wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 26.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 23.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Duke wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur in the Clemson at Duke football game; it matters because the spread summarizes market expectations about the margin of victory and is commonly used for hedging and speculation.
Clemson and Duke meet as conference opponents with different historical profiles: Clemson has recent history as a nationally prominent program while Duke’s football performance has varied year-to-year. Spread markets for this matchup aggregate information from injuries, travel, recent form, and matchup specifics to produce a market-implied view of the expected margin.
Prices in a spread market map to the market’s collective view of which margin-range is most likely; higher-priced outcomes indicate outcomes the market judges less likely. Watch price movement, trade volume, and news events for signals about changing expectations.
Check the event page for the official close time; platforms commonly close spread markets at or shortly before the game’s scheduled kickoff, but this specific market’s closing time is listed as TBD so verify the platform notice before trading.
They partition the possible point-margin results into discrete ranges (from a large Clemson margin through a large Duke margin), allowing traders to take positions on which margin-range will occur rather than a single binary outcome.
Significant late injuries—especially to quarterbacks, primary rushers, or defensive playmakers—can materially change expected margins; such reports often trigger rapid price movement as traders update forecasts, so monitor official team reports and trusted beat reporters.
Yes: market prices typically incorporate the home team effect, travel, and venue-specific tendencies; however, the degree to which home-field matters can vary by matchup and may be reassessed by traders after new information (injuries, weather, roster changes).
Head-to-head history can provide context about styles and coaching matchups, but use recent season performance, roster continuity, and current metrics (offensive/defensive efficiency, turnover margin) more heavily because personnel and schemes change over time.