| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Nikola Jokić: 10+ | 53% | 50¢ | 53¢ | — | $5K | Trade → |
| Nikola Jokić: 14+ | 15% | 11¢ | 15¢ | — | $2K | Trade → |
| Shai Gilgeous-Alexander: 8+ | 41% | 41¢ | 42¢ | — | $2K | Trade → |
| Nikola Jokić: 12+ | 33% | 27¢ | 30¢ | — | $1K | Trade → |
| Aaron Gordon: 3+ | 39% | 36¢ | 44¢ | — | $1K | Trade → |
| Shai Gilgeous-Alexander: 7+ | 57% | 55¢ | 57¢ | — | $1K | Trade → |
| Nikola Jokić: 8+ | 73% | 72¢ | 73¢ | — | $991 | Trade → |
| Aaron Gordon: 2+ | 67% | 54¢ | 67¢ | — | $863 | Trade → |
| Shai Gilgeous-Alexander: 6+ | 72% | 71¢ | 72¢ | — | $192 | Trade → |
| Luguentz Dort: 2+ | 49% | 46¢ | 50¢ | — | $122 | Trade → |
| Aaron Gordon: 6+ | 11% | 3¢ | 9¢ | — | $106 | Trade → |
| Shai Gilgeous-Alexander: 10+ | 23% | 19¢ | 22¢ | — | $100 | Trade → |
| Nikola Jokić: 6+ | 88% | 88¢ | 89¢ | — | $28 | Trade → |
| Aaron Gordon: 4+ | 24% | 16¢ | 26¢ | — | $11 | Trade → |
| Luguentz Dort: 4+ | 16% | 3¢ | 10¢ | — | $11 | Trade → |
| Shai Gilgeous-Alexander: 12+ | 0% | 5¢ | 9¢ | — | $0 | Trade → |
| Luguentz Dort: 10+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Luguentz Dort: 6+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Aaron Gordon: 8+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Luguentz Dort: 8+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
This market asks traders to predict assist totals related to the Denver at Oklahoma City game; it matters to bettors and analysts who want to express views on the teams' playmaking and game flow. The market offers multiple discrete outcomes that resolve against the official game box score.
Denver and Oklahoma City each present distinct offensive styles that influence assists: one team may prioritize ball movement and veteran playmaking, while the other often runs a younger, quicker offense that creates passing opportunities. Lineups, rotations, and recent personnel changes shape how many assists are likely in any given matchup, and those elements can shift up to game time.
Market prices reflect the consensus expectation of traders and update as new information arrives; use them as a real‑time summary of market sentiment rather than a fixed prediction. Larger trade volume and rapid price movement often indicate new or meaningful information about the game state or rosters.
Each listed outcome corresponds to a specific assist total or range as defined on the market page; the winning outcome will be determined by the official assists recorded in the final box score for the game.
Close time is posted on the market page and typically occurs before game tipoff; the market resolves after the league posts the official final box score (including any overtime), so resolution may follow the game by the league's official timing.
Primary ball‑handlers and playmakers — the teams' starting guards and any primary facilitators — have the largest impact because they initiate the offense and accumulate assists; expected minutes and role changes for those players are the most relevant information.
Treat official injury reports and confirmed lineup changes as high‑value signals: loss or limitation of a primary creator tends to lower expected assists, while a backup known for passing can partially offset that; markets typically react quickly to official announcements.
Head‑to‑head trends provide context but can be misleading because rosters, coaching strategies, and season tempo change over time; use recent season data, current rotations, and matchup context as stronger predictors than long‑term history.