| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| North Carolina wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| North Carolina wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Maryland wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| North Carolina wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Maryland wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Maryland wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Maryland wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Maryland wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| North Carolina wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| North Carolina wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| North Carolina wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers trading on the point spread for the Maryland at North Carolina matchup, letting participants take positions on which side will cover various margin outcomes; it matters because spread markets aggregate public information about the expected margin of victory.
Maryland visiting North Carolina is a head-to-head matchup where home-court advantage, team styles, and recent form all feed into the expected margin. Historical series, coaching matchups, and late-season positioning (conference implications, tournament seeding) often influence how traders and oddsmakers price the spread.
Market prices correspond to the collective assessment of how likely each spread outcome is relative to others; higher prices indicate greater market support for that specific spread outcome. Always confirm the market's settlement rules and the platform's timeline when interpreting prices.
They represent different point-spread outcomes or margin buckets for this matchup; the event page lists exactly which numeric spreads or ranges correspond to each outcome.
The close time is listed as TBD for this event; typically KALSHI-based markets close before game start, so check the event page on the platform for the official close timestamp.
Spread markets generally settle against the game's official final score as recorded by the designated official data provider, and that commonly includes overtime; confirm the specific settlement rule on the KALSHI event rules.
Resolution follows KALSHI's contingency and force-majeure rules; outcomes may be voided or subject to alternative settlement procedures, so consult the platform's event resolution policy for this market.
Price moves often reflect new information quickly; late-breaking injuries or lineup changes can create volatility up to market close, so verify official team reports and consider how the specific personnel change affects matchup dynamics before trading.