| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cameron Johnson | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks which double-double outcome will occur in the Utah at Denver game; it matters because double-doubles reflect individual player production and can be driven by rotations, matchup dynamics, and game tempo.
A double-double is recorded when a player reaches double digits in two statistical categories (commonly points and rebounds or points and assists). Matchups between Utah and Denver often spotlight frontcourt minutes and rebounding battles; factors like team pace, rotation depth, and Denver's altitude can influence how many double-doubles occur. The market has three outcomes and its close time is listed as TBD on the platform.
Market odds summarize the crowd’s expectations and update as news (injuries, lineups, minutes) arrives; use them as a real-time signal about how likely market participants think each outcome is, not as fixed predictions.
The market resolves based on whether qualifying players in the Utah vs. Denver game record double-doubles as defined on the market page (typically 10+ in two statistical categories); check the market rules for precise resolution criteria.
When close time is listed as TBD, the platform will update the market close before the game—markets like this commonly close shortly before tipoff or when official starting lineups are confirmed, so monitor the market page for the definitive timestamp.
Focus on each team’s high-minute bigs and primary playmakers—players who get heavy rebound or assist volume and who are in the regular starting rotation—because they produce the bulk of double-doubles; check pregame rotations and usage rates to identify the most relevant names for this specific matchup.
Past matchups can indicate tendencies like strong frontcourt rebounding battles or elevated pace that lead to more counting stats, but roster changes and game context vary year to year, so historical trends should be combined with current-season minutes and injury information.
Late injury reports, announced resting players, changes to the starting lineup, coach comments about planned minutes, and any in-game fouling or ejection news—these directly affect who will be on court and how many opportunities they’ll have to reach a double-double.