| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Nikola Jokić: 25+ | 71% | 65¢ | 71¢ | — | $7K | Trade → |
| Nikola Jokić: 20+ | 88% | 81¢ | 88¢ | — | $2K | Trade → |
| Christian Braun: 10+ | 74% | 67¢ | 74¢ | — | $2K | Trade → |
| Nikola Jokić: 35+ | 25% | 23¢ | 25¢ | — | $2K | Trade → |
| Keyonte George: 30+ | 10% | 8¢ | 9¢ | — | $1K | Trade → |
| Christian Braun: 20+ | 17% | 12¢ | 17¢ | — | $884 | Trade → |
| Keyonte George: 25+ | 22% | 15¢ | 22¢ | — | $836 | Trade → |
| Keyonte George: 15+ | 72% | 64¢ | 71¢ | — | $720 | Trade → |
| Nikola Jokić: 30+ | 46% | 43¢ | 46¢ | — | $675 | Trade → |
| Keyonte George: 20+ | 44% | 39¢ | 44¢ | — | $644 | Trade → |
| Christian Braun: 15+ | 41% | 41¢ | 42¢ | — | $528 | Trade → |
| Jamal Murray: 25+ | 54% | 51¢ | 55¢ | — | $257 | Trade → |
| Jamal Murray: 15+ | 87% | 90¢ | 94¢ | — | $245 | Trade → |
| Jamal Murray: 35+ | 11% | 9¢ | 15¢ | — | $205 | Trade → |
| Ace Bailey: 15+ | 58% | 54¢ | 59¢ | — | $185 | Trade → |
| Jamal Murray: 20+ | 72% | 72¢ | 78¢ | — | $100 | Trade → |
| Nikola Jokić: 40+ | 15% | 8¢ | 12¢ | — | $80 | Trade → |
| Ace Bailey: 20+ | 30% | 26¢ | 30¢ | — | $74 | Trade → |
| Jamal Murray: 30+ | 29% | 26¢ | 32¢ | — | $16 | Trade → |
| Ace Bailey: 25+ | 89% | 7¢ | 11¢ | — | $3 | Trade → |
| Christian Braun: 25+ | 88% | 1¢ | 5¢ | — | $1 | Trade → |
| Ace Bailey: 10+ | 0% | 78¢ | 83¢ | — | $0 | Trade → |
This market lets traders buy and sell outcomes tied to the total points scored in the Denver at Utah game; it matters because totals markets concentrate information about pace, player availability, and game strategy.
This is an NBA matchup where team styles, injury reports, and recent form shape scoring expectations. Historical head-to-head trends, season-long offensive and defensive ratings, and the scheduling context (rest, travel, back-to-backs) provide background for how many points are likely to be scored.
Market prices represent the crowd’s consensus expectation for the final points outcome and move as new information arrives; price changes reflect incoming news (injuries, rotations, late scratches) and shifts in trader sentiment.
The market closes according to the platform’s schedule or at a cutoff tied to the game start; final settlement is based on the official game total reported in the league’s box score and play-by-play, subject to the platform’s postgame review and settlement rules.
A 22-outcome market typically breaks the range of possible total points into discrete buckets or exact totals; each outcome covers a specific points interval—consult the market page for the exact buckets and translations to final scores.
Treat late injury or lineup updates as high-impact information: the absence or reduced minutes of a primary scorer or defender can move expectations for total points substantially, often triggering rapid price adjustments as traders react.
Venue effects can matter: home-court tendencies, crowd influence, and conditioning differences (altitude and travel) can influence pace and fatigue, but they interact with roster availability and coaching strategy, so they’re one of several inputs to consider.
Settlement relies on the official league statistics (the game box score and play-by-play) as published by the NBA; any disputes or corrections are handled per the platform’s settlement policy.