| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cameron Johnson: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the points outcome for the Utah at Denver game; it aggregates market views on how high or low the combined scoring will be. It matters because it provides a live consensus signal about expectations for the game total and lets users hedge or speculate on scoring ranges.
The event refers to a head-to-head basketball matchup between Utah and Denver; historical meetings between these teams often reflect differences in pace, offensive philosophy, and home-court environmental factors. Market interest in totals typically reacts to team form, injuries, and situational factors such as rest and travel.
Market prices represent the collective, real-time view of which points-range outcomes are most likely to occur; treat prices as indicators of market sentiment rather than fixed forecasts. Prices and available outcomes can shift quickly as new information (lineups, injuries, schedule changes) becomes public.
Each listed outcome corresponds to a specific points-range or total bucket defined on the market page; the outcome that settles is the one whose range contains the official final game points as defined in the market rules.
The market's close time is set by the platform and is listed on the market page; commonly markets like this close at or shortly before the official game start, but check the KALSHI market page for the exact cut-off since it is marked TBD until posted.
Whether overtime counts depends on the event's settlement rules; many points markets include overtime in the official total, but you should confirm the settlement rules on the specific market page before trading.
Late injuries and starting-lineup announcements are material information for totals markets and often produce rapid price adjustment; monitor official team communications and news feeds, as the market will typically incorporate that information quickly.
Settlement procedures for postponement or cancellation follow the platform's event rules—outcomes may be voided, rescheduled, or settled based on the official game result at the time of stoppage; consult KALSHI's resolution rules for the definitive handling of such cases.