| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 146.5 points scored | 51% | 49¢ | 51¢ | — | $36 | Trade → |
| Over 134.5 points scored | 80% | 73¢ | 79¢ | — | $4 | Trade → |
| Over 161.5 points scored | 0% | 14¢ | 21¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 25¢ | 31¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 20¢ | 26¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 40¢ | 45¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 77¢ | 85¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 60¢ | 66¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 67¢ | 73¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 55¢ | 60¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 32¢ | 39¢ | — | $0 | Trade → |
This market asks how many combined points will be scored in the UNC Wilmington at Elon college basketball game; it matters because it aggregates market expectations about offense, defense, and game tempo into a tradable outcome.
UNC Wilmington and Elon are NCAA Division I programs whose scoring outcomes reflect team styles, recent form, and roster availability. Historical matchups, season-long pace and efficiency metrics, and late-game injuries or lineup changes all shape expectations for the total points in any given meeting.
Market prices reflect traders’ collective view about which point-range outcome is most likely given available information; prices will move as new, game-specific data (lineups, injuries, rest, weather for neutral-site games) becomes public.
Close time is set by the platform listing (currently TBD); settlement is based on the official final combined score from the game as reported by the official box score and typically follows the market’s stated settlement rules (check the Kalshi listing for specifics).
Each outcome corresponds to a specific total-points bucket or threshold defined on the market page (for example particular ranges or exact totals); consult the event listing to see the exact mapping of outcomes to point ranges.
Watch starting lineups, injury reports, late scratches, announced rotations, travel/rest status, and any coaching notes on tempo or matchup strategy—those items are most likely to move expectations for total scoring.
Look at both teams’ recent scoring averages, pace metrics, and how those numbers change against similar opponents; adjust for roster turnover, injuries, and venue because past totals are informative but must be contextualized.
Whether overtime counts depends on the market’s stated settlement rules—many total-points markets include overtime, but verify the listing; external factors such as officiating style (foul rate), travel, and scheduling can materially influence final scoring even though they do not change the formal settlement process.