| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Aaron Gordon: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to predict three-point related outcomes for the Golden State at Denver game (for example totals or categorical ranges). It matters because three-point volume and accuracy are major drivers of game outcomes, betting markets, and in-game strategy.
Golden State has a recent reputation for high three-point volume and relies on designated perimeter shooters, while Denver’s approach and personnel shape how many contested and open threes are available. Venue, rotations, and matchup history between these franchises influence expectations — but rosters and roles can shift quickly across a season. Historical head-to-head trends provide context but should be combined with current roster and health information.
Prediction market odds aggregate traders’ views and update as new information arrives; they are not guarantees but real-time summaries of market sentiment. Odds react to injury reports, lineup changes, late scratches, and in-game developments, so interpret them alongside situational news.
This market presents a set of distinct outcomes tied to three-point performance in the Golden State at Denver game (for example discrete total ranges, team-specific three-point thresholds, or categorical bins). The market listing on the platform shows the full set of 15 possible outcomes and how each is defined.
The market’s official close time is posted on the trading platform (currently TBD). Markets of this type commonly close at or just before tip-off or at a platform-specified cutoff; check the event page for the exact closing time because trading stops when the market closes and no further information can be priced in.
They typically move the market rapidly: a late scratch of a primary shooter or a surprise starter can materially change expected attempts and makes. Traders monitor official injury reports, coach confirmations, and pregame starting lineup announcements to reassess positions.
Altitude can influence player conditioning and game tempo and may have a subtle effect on ball flight, but its net impact on three-point outcomes is situational. Consider how travel, player conditioning, and whether teams typically adjust their shot selection in Denver have influenced recent three-point volume and accuracy.
Head-to-head history can reveal matchup tendencies (who usually gets open looks, defensive strengths), but its usefulness depends on roster continuity and current form. Use recent games, home/away splits, and current-season shooting trends alongside head-to-head history for the most relevant picture.