| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Duke | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clemson | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which team will win the scheduled Clemson at Duke matchup; it matters to fans and traders who want to express beliefs or hedge exposure to the game's outcome.
Clemson and Duke are Atlantic Coast Conference (ACC) programs that frequently meet across multiple sports; the relative strengths depend on the sport and the season—Clemson has recent prominence in college football while Duke is historically notable in college basketball. Team form, coaching, and roster continuity can shift the expected result from one matchup to the next.
Market prices represent the crowd’s aggregated view of which team will win and will move as new, game-specific information arrives (injuries, starting lineups, weather, etc.). Interpret prices as a live signal of market sentiment rather than a fixed prediction; check the event page for official settlement rules and timing.
The event page lists the close time as TBD; the platform typically closes markets before the official game start or at kickoff according to its published rules, so check this market’s page for the final close time.
This head-to-head market offers two outcomes corresponding to which team is the official winner: Clemson wins or Duke wins; settlement follows the sport’s governing body and the official game result (including overtime where applicable).
Most match-winner markets settle to the official winner after any overtime procedures defined by the sport; if the sport allows ties, the market’s specific settlement rules will state how ties are treated (refund, separate outcome, or other).
Late changes such as starting quarterback availability, injuries to primary scorers or defenders, and announced starting lineups will typically move prices the most; coaching announcements (e.g., game-plan changes) can also influence market movement.
Head-to-head history provides context but should be weighted by recency, venue, and roster continuity; different sports produce different historical patterns (for example, Clemson’s football pedigree and Duke’s basketball history) so prioritize current-season indicators over distant past results.