| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 141.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders speculate on the combined final score (total points) in the college football game between North Carolina State and Michigan. It matters because market prices aggregate expectations about scoring and react to news that changes those expectations.
North Carolina State and Michigan come from different conferences and often present contrasting styles — one team may emphasize tempo and spreading the field while the other leans on power and complementary defense. Historical meetings between these programs are limited, so pregame analysis focuses on recent offensive and defensive performance, matchup specifics, and the location of the game. Home-field factors, travel, and short-term trends (recent form, injuries) frequently shape scoring expectations more than long-term history.
Market prices indicate how participants allocate money across the discrete total-point outcomes: higher prices reflect less demand and lower prices reflect stronger demand for that outcome. Use prices as a real-time summary of collective expectations while remembering they can shift rapidly with new information.
The official close time is set by the platform and is currently listed as TBD; in practice, these markets typically stop accepting trades by kickoff or at a platform-specified time just before the game starts. Check the KALSHI market page for the confirmed close time.
The 11 outcomes correspond to discrete total-point ranges or exact total brackets defined on the market page. Each outcome covers a specific interval of combined final points; consult the market's outcome labels for the exact ranges that will be used for settlement.
Settlement normally follows the official game total as recorded by the governing league or the market operator; in most cases, any points scored during officially recorded overtime are included in the final total. Verify the settlement rules on the market platform to confirm.
Treat confirmed injuries to quarterbacks, primary receivers, or key offensive linemen as significant scoring factors, and adjust expectations for adverse weather (wind, rain, cold) that typically reduces passing effectiveness and overall scoring. Wait for official confirmations (team reports, injury lists, weather forecasts) before changing positions.
Prices can move quickly due to last-minute lineup announcements, injury reports, weather updates, large single trades, or low liquidity in the market. Because discrete outcome markets can have limited depth, even modest new information or orders can produce noticeable price changes.