| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the college basketball game North Carolina at UConn. It matters because total-points markets aggregate expectations about pace, offense and defense into a single tradable outcome.
North Carolina and UConn are high-profile NCAA programs with distinct styles; UConn has recently been a strong defensive team while UNC often emphasizes transition offense. Historical matchups between the programs can show large variation in combined scoring depending on roster composition, game location, and stakes (regular season vs. tournament).
Each outcome in this market corresponds to a range of combined game points; market prices reflect traders' consensus about which range is most likely. Use price movement and order book depth to see how new information (injuries, lineups) is being incorporated.
Closing time is set by the platform and is typically at the scheduled game start or an explicitly posted timestamp; check the market page for the official close or any updates.
That depends on the contract specification for this market—some markets explicitly include overtime while others resolve on regulation time only; consult the market rules on the event page or platform resolution policy.
Monitor official injury reports and late pregame updates; loss of a primary scorer or a starter who plays heavy minutes typically reduces expected combined points, while a bench scorer stepping into an expanded role can partially offset losses.
Head-to-head history can highlight matchup tendencies, but sample sizes are small and contexts vary—adjust for roster changes, venue, and whether prior games went to overtime before leaning on past totals.
Late injuries or lineup changes, announced rest days for key players, confirmed starting lineups, travel or venue disruptions, and unexpected coaching decisions (e.g., intentionally slowing pace) are the most common catalysts for rapid price movement.