| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 75.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 60.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 57.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 72.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 78.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 81.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 66.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 63.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 69.5 1H points scored | 0% | 44¢ | 50¢ | — | $0 | Trade → |
This market asks how many points will be scored in the first half of the UNC Wilmington vs Elon game. It matters for traders and fans who want to express or monetize views about early-game scoring dynamics.
UNC Wilmington (Seahawks) and Elon (Phoenix) are NCAA Division I programs whose matchups are shaped by conference context, coaching tendencies, and roster matchups. First-half totals emphasize early-game pace and execution and can differ from full-game expectations because coaches and rotations often change later in the game.
Market prices reflect the collective expectation of participants about which point-range outcome the first half will fall into; price movement responds to new information (injuries, lineups, pregame reports) but does not guarantee the actual result.
The listing currently shows closing time as TBD; typically first-half total markets close at or immediately before tip-off or when the first half begins. Check the Kalshi market page for the official close time and any last-minute updates.
The nine outcomes correspond to discrete first-half total buckets or labeled point ranges; each outcome pays out if the official first-half combined score falls within that bucket. See the market interface for the exact range definitions for each outcome.
A starter’s absence can change pace, scoring responsibilities, and defensive matchups; reassess recent performance of likely replacements, projected possession share, and any coaching remarks, and expect the market to update as that information becomes public.
Settlement is based on the game’s official box score as recorded by the event’s official scorer. For platform-specific settlement rules and rare edge cases, consult Kalshi’s published settlement procedures.
If the platform permits in-play trading for this listing, prices will typically move in response to in-game developments; availability and latency of live trading depend on Kalshi’s rules and the market’s stated close time.