| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Julius Randle | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rudy Gobert | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donte DiVincenzo | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ausar Thompson | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tobias Harris | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market focuses on double-double outcomes in the NBA game between Detroit and Minnesota and matters to traders who want to express views on which players will produce multi-category statistical performances in that specific contest.
Double-doubles are driven by player roles and matchup dynamics: frontcourt players and primary rebounders/ball-handlers are most often involved. Team pace, recent rotations, and historical production against a given opponent provide useful background when assessing how likely various double-double scenarios are. Because the market lists five distinct outcomes, it offers multiple mutually exclusive ways to express expectations for this particular game.
Prediction market prices aggregate participant expectations and will move as lineup, injury, and in-game information becomes available. Treat prices as a real-time signal of market sentiment for the Detroit at Minnesota double-doubles market rather than a fixed prediction.
This market asks traders to pick among predefined outcomes tied to players or scenarios recording double-doubles (10+ in two statistical categories) in the Detroit vs. Minnesota game; consult the market page for the precise labels of the five outcomes offered.
The market's close time is listed as TBD on the event page; most game-specific markets close shortly before official tip-off, so check the market page for updates and the announced close time.
A double-double is achieved when a player records at least 10 in two of the standard box-score categories (points, rebounds, assists, steals, blocks); markets typically use the official NBA box score as the authoritative source—confirm the market rules for any exceptions.
Most markets use the official box score which includes overtime totals, so overtime contributions generally count toward statistical thresholds; verify the market's rule text to be certain for this specific event.
Focus on each team's primary frontcourt players and their leading rebounders or assist-generating guards; monitor recent starters, usage rates, and any injury or rest news leading up to the game because those factors most directly change which players are plausible double-double candidates.