| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 139.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 145.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 136.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 133.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 130.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to predict the combined total points scored in the Dayton at UNC Wilmington college basketball game. It matters because total-points markets aggregate expectations about tempo, shooting, and defensive performance and respond quickly to lineup changes or late news.
Dayton and UNC Wilmington are NCAA Division I programs whose head-to-head history, season-long scoring trends, and coaching philosophies all shape expected totals. Market makers and traders typically use season offensive/defensive efficiencies, recent game scores, and matchup context to set outcome ranges; historical results between the two programs can be informative but are only one input.
Prices in this market represent how traders collectively expect the game’s combined score to fall across the available ranges; higher prices indicate lower market belief that the total will land in that specific range. Treat the market price as real-time sentiment that will adjust with injuries, lineup announcements, and other game-time information.
The event page lists the close time as TBD; commonly these markets close at the official game start time and settle after the final score is official. Confirm the exact close and settlement rules on the KALSHI market description for this listing.
Whether overtime counts varies by market specification. Many total-points markets settle on regulation only, while some include overtime—check the event’s settlement rules on the platform to know which applies here.
Primary scorers and ball-handlers (point guards and leading scorers), high-volume three-point shooters, and key bench scorers/rebounders matter most: their availability and expected minutes heavily influence combined scoring.
Short rest, back-to-back games, or long travel can reduce shooting efficiency and rotation depth, lowering expected totals; conversely, extra rest or home advantage can boost energy and scoring. Check each team’s recent schedule when evaluating the market.
Each outcome maps to a specific range of combined points—compare prices across ranges to see which totals the market favors and where value might exist. Combine price signals with the key factors (pace, efficiencies, injuries, venue) before taking a position, and monitor updates as game time approaches.