| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Michigan wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| North Carolina St. wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michigan wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michigan wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michigan wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michigan wins by over 23.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michigan wins by over 26.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michigan wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michigan wins by over 29.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michigan wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michigan wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market offers tradable outcomes tied to the point spread for the college football game North Carolina St. at Michigan, letting participants express views on the margin of victory. It matters because spread markets aggregate real-time information about injuries, weather, and team form into a single market price for each margin range.
The matchup pits an ACC program (North Carolina State) on the road against a Big Ten home team (Michigan). Differences in conference style, roster turnover from year to year, and home-field environment are typical background factors that shape expectations for this game. The market lists 11 distinct spread outcomes, each corresponding to a range of final margins, and closure is listed as TBD but generally occurs before kickoff.
In this context, market odds reflect the collective view of which scoring-margin outcome the market participants expect; they move as new information arrives. Interpret them as aggregated signals about the expected margin rather than guarantees—monitor changes for updates driven by news or large trades.
The event listing shows the close as TBD; typically spread markets close at or shortly before the game's official kickoff time. Check the platform for the exact timestamp once it is posted.
Each outcome corresponds to a specific range of final point margins (for example, a Michigan win by X–Y points or an NC State win by Z–W points). An outcome pays out if the final official margin falls within that outcome’s predefined range; consult the market contract definitions for exact boundaries.
Settlement follows the platform’s contingency rules: if the game is postponed beyond the settlement window or cancelled, markets may be voided or settled per alternate rules. A venue change to a neutral site will typically still settle based on the official final score unless the platform states otherwise—confirm with the market’s settlement policy.
Watch announcements on the starting quarterbacks, any late absences on the offensive line, the teams’ leading rushers/receivers, and key defensive starters (edge rushers or cornerbacks). Depth issues announced on game day often produce the largest intra-day market moves.
Head-to-head history can provide context but is often limited in predictive power due to roster turnover in college football; conference-level trends (Big Ten vs. ACC styles) and current-season metrics like scoring margin and turnover rate are typically more informative for this specific game.