| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 242.5 points scored | 48% | 48¢ | 49¢ | — | $92K | Trade → |
| Over 245.5 points scored | 41% | 40¢ | 41¢ | — | $15K | Trade → |
| Over 239.5 points scored | 57% | 55¢ | 57¢ | — | $12K | Trade → |
| Over 227.5 points scored | 76% | 76¢ | 79¢ | — | $4K | Trade → |
| Over 248.5 points scored | 33% | 33¢ | 35¢ | — | $4K | Trade → |
| Over 254.5 points scored | 22% | 22¢ | 25¢ | — | $3K | Trade → |
| Over 236.5 points scored | 61% | 60¢ | 64¢ | — | $3K | Trade → |
| Over 257.5 points scored | 19% | 19¢ | 20¢ | — | $3K | Trade → |
| Over 251.5 points scored | 27% | 27¢ | 30¢ | — | $1K | Trade → |
| Over 233.5 points scored | 68% | 66¢ | 69¢ | — | $1K | Trade → |
| Over 230.5 points scored | 73% | 71¢ | 74¢ | — | $531 | Trade → |
This market asks how many total points will be scored in the Denver at Utah game; it matters because totals markets let traders express views about scoring, pace, and game context rather than which team wins.
This market covers a head-to-head matchup between Denver and Utah; historical scoring between these franchises, current-season offensive and defensive trends, and roster availability all shape expectations. The market is on KALSHI and has accumulated meaningful liquidity, indicating active participation and information flow from traders.
Market prices aggregate participants' views about likely scoring outcomes and move in response to news (lineup changes, injuries, rest, etc.); use prices as a real-time signal of collective expectations while checking the specific outcome ranges or bins the market uses.
The event page lists the close as TBD; on KALSHI markets of this type commonly close at or shortly before game tipoff, but confirm the exact close time on the market page so you can factor in late-breaking news.
The market is broken into 11 discrete outcomes (bins) that cover ranges or exact totals for combined points; check the market's outcome labels to see the scoring intervals or point totals that correspond to each traded outcome.
Late injury or lineup announcements can materially change expected scoring and should be incorporated immediately—if a primary scorer or a key defender is ruled out, expect the market to reprice to reflect adjusted pace, usage, and matchup effects.
Head-to-head history can show stylistic tendencies (e.g., historically high- or low-scoring meetings) but is most useful when combined with current-season metrics like pace and offensive/defensive ratings; prioritize recent form and roster context over decades-old results.
Reduced rest or travel can lower player minutes and offensive efficiency, often suppressing totals; conversely, well-rested teams may increase pace and scoring. Consider both teams' minutes across the previous days and any long trips immediately before the game.