| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Nikola Jokić: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ P.J. Washington: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Christian Braun: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Jamal Murray: 30+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Naji Marshall: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Jamal Murray: 35+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Klay Thompson: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Klay Thompson: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Christie: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| P.J. Washington: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Klay Thompson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ P.J. Washington: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Naji Marshall: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 40+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Naji Marshall: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Naji Marshall: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| P.J. Washington: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Klay Thompson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Cooper Flagg: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Jamal Murray: 20+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Max Christie: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 10+ | 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 → |
| ✓ Jamal Murray: 25+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Christian Braun: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Max Christie: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the total combined points scored in the Dallas at Denver matchup; it matters because the total reflects the interaction of both teams' offenses and defenses and is sensitive to lineup, coaching, and venue factors.
The market is centered on a head-to-head game between a Dallas team and a Denver team; outcomes depend on both teams' current form, recent scoring trends, and where the game is played. Historical matchups, season-long pace, and any ongoing injury or rotation patterns provide relevant context that market participants use to form expectations.
Market odds represent the collective expectations of traders about which specific point-total outcome will occur and will move as new information (lineups, injuries, weather, coaching announcements) becomes available. Use odds as a real-time signal of market sentiment, not a static prediction.
This market offers a set of distinct point-total outcomes (37 outcomes in the current listing) where each outcome corresponds to a specific final combined points total or defined range; the outcome that exactly matches the official combined game score wins.
The market close is listed as TBD for this event; typically markets close at or just before the official game start time, but you should watch the platform for the exact close or any updates if the start time changes.
Odds move in response to lineup announcements, injury and rest news, late-breaking coaching strategy (e.g., emphasis on pace), weather or venue conditions, and large trades that update the market’s consensus about expected scoring.
Last-minute player availability can materially shift expected totals; markets typically react quickly when a high-usage scorer or key defender is ruled out, so check official team reports and platform updates and expect odds to reprice in response.
Head-to-head history can provide perspective on matchup tendencies, but it should be adjusted for current-season pace, roster changes, and venue; prioritize recent performance, opponent-adjusted metrics, and matchup-specific features over long-ago games.