| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| ✓ DeMar DeRozan: 2+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ DeMar DeRozan: 4+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ DeMar DeRozan: 5+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ DeMar DeRozan: 6+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ DeMar DeRozan: 8+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Paolo Banchero: 2+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Paolo Banchero: 4+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Paolo Banchero: 6+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Paolo Banchero: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many assists will be recorded in the Sacramento at Orlando game; it matters to traders who want to express views on game pace, playmaking, and lineup availability without betting on a winner. Assists reflect team ball movement and the role of primary ball-handlers, so they’re sensitive to lineup and in-game developments.
Sacramento and Orlando have distinct offensive profiles that typically influence assist totals: one team’s ball-movement tendencies, pace, and reliance on primary playmakers interact with the opponent’s defensive schemes and transition opportunities. Historical matchups, recent coaching adjustments, and roster changes can shift how often plays are assisted versus isolation scoring. Because player availability and rotation choices often arrive close to tipoff, expect market sentiment to adjust as that information becomes public.
Market prices aggregate traders’ expectations about the likely assist total and update as new information (injuries, lineups, rest, travel) arrives. Use the market as a realtime signal of consensus about how the game will be played rather than a static prediction.
The market's close is listed as TBD; in practice these markets typically close at or shortly before tipoff, so check the platform for the official close time ahead of the game.
Starting lineup news—especially the identity of primary guards or facilitators—can materially move expectations because it changes who handles the ball and how often possessions are converted into assists.
If a primary facilitator sits, the team usually sees fewer traditional assists and different distribution among ball-handlers, which would tend to lower the combined assist expectation and prompt market adjustments.
Home-court factors—travel, routine, and crowd—can influence pace and rotations; however, the net effect depends on which team’s style and rotations are most affected, so traders watch lineup and rest reports in conjunction with location.
Higher assists are more likely in a fast, competitive game with efficient shooting and sustained minutes for primary facilitators; lower assists tend to occur in sloppy, low-possession contests, blowouts with heavy bench usage, or when primary playmakers are limited.