| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Nikola Jokić: 12+ | 68% | 65¢ | 67¢ | — | $7K | Trade → |
| Shai Gilgeous-Alexander: 5+ | 57% | 54¢ | 57¢ | — | $3K | Trade → |
| Nikola Jokić: 13+ | 56% | 54¢ | 56¢ | — | $2K | Trade → |
| Nikola Jokić: 14+ | 46% | 44¢ | 46¢ | — | $1K | Trade → |
| Shai Gilgeous-Alexander: 6+ | 41% | 39¢ | 42¢ | — | $1K | Trade → |
| Aaron Gordon: 5+ | 51% | 45¢ | 50¢ | — | $906 | Trade → |
| Aaron Gordon: 8+ | 17% | 11¢ | 14¢ | — | $603 | Trade → |
| Cameron Johnson: 4+ | 54% | 47¢ | 52¢ | — | $601 | Trade → |
| Aaron Gordon: 4+ | 68% | 58¢ | 68¢ | — | $239 | Trade → |
| Cameron Johnson: 8+ | 9% | 1¢ | 6¢ | — | $210 | Trade → |
| Aaron Gordon: 6+ | 35% | 34¢ | 35¢ | — | $168 | Trade → |
| Nikola Jokić: 10+ | 83% | 79¢ | 84¢ | — | $161 | Trade → |
| Nikola Jokić: 16+ | 28% | 25¢ | 26¢ | — | $89 | Trade → |
| Shai Gilgeous-Alexander: 4+ | 71% | 69¢ | 71¢ | — | $27 | Trade → |
| Aaron Gordon: 2+ | 99% | 72¢ | 90¢ | — | $10 | Trade → |
| Cameron Johnson: 6+ | 22% | 16¢ | 21¢ | — | $10 | Trade → |
| Cameron Johnson: 2+ | 0% | 71¢ | 90¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 2+ | 0% | 89¢ | 96¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 8+ | 0% | 14¢ | 15¢ | — | $0 | Trade → |
| Cameron Johnson: 10+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
This market lets traders express expectations about the rebound outcomes in the Denver at Oklahoma City game; it matters because rebounds strongly influence possession, tempo, and scoring opportunities in any NBA matchup.
Denver and Oklahoma City bring distinct frontcourt profiles and styles that shape rebound dynamics: Denver typically relies on length and switchable bigs, while Oklahoma City emphasizes pace and scrappy defensive effort. Season timing, recent games, travel, and any roster changes around this matchup also affect how both teams crash the boards.
Market prices aggregate participant views about how many rebounds will occur or which preset rebound-range outcome will happen; use them as a continuously updated signal that incorporates public information, injuries, and expected rotations rather than a definitive forecast.
Outcome labels on the market define what is measured — for example, total team rebounds, combined team rebounds, or a specific player’s rebounds. Always check the market’s outcome descriptions to confirm whether the market tracks one team, both teams combined, or an individual.
The market’s rules page will state whether overtime counts; different markets treat overtime differently, so confirm on the event page or rulebook before relying on outcomes.
A closing time will be set by the market operator—watch the event page for updates or notifications. Closing typically occurs before or at game start, but the exact time is determined by the platform.
Injury updates are among the highest-impact information for rebound markets because they alter expected minutes and matchups; monitor official injury reports, pregame warmups, and team announcements and compare them to the market’s current outcomes.
Lower volume means fewer participants and potentially larger price swings from single trades; treat prices as informative but possibly noisier, and check for recent news or sharp moves that may have caused the current pricing.