| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jalen Green: 3+ | 56% | 53¢ | 56¢ | — | $1K | Trade → |
| DeMar DeRozan: 4+ | 40% | 38¢ | 40¢ | — | $574 | Trade → |
| Devin Booker: 6+ | 46% | 43¢ | 46¢ | — | $126 | Trade → |
| Devin Booker: 8+ | 22% | 16¢ | 21¢ | — | $32 | Trade → |
| Russell Westbrook: 5+ | 58% | 49¢ | 53¢ | — | $14 | Trade → |
| Russell Westbrook: 6+ | 37% | 11¢ | 38¢ | — | $12 | Trade → |
| Jalen Green: 6+ | 9% | 6¢ | 7¢ | — | $5 | Trade → |
| Jalen Green: 8+ | 5% | 0¢ | 7¢ | — | $3 | Trade → |
| Russell Westbrook: 2+ | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| Mark Williams: 6+ | 0% | 0¢ | 66¢ | — | $0 | Trade → |
| Jalen Green: 2+ | 0% | 72¢ | 77¢ | — | $0 | Trade → |
| Devin Booker: 2+ | 0% | 91¢ | 99¢ | — | $0 | Trade → |
| Jalen Green: 4+ | 0% | 32¢ | 35¢ | — | $0 | Trade → |
| Mark Williams: 8+ | 0% | 0¢ | 65¢ | — | $0 | Trade → |
| DeMar DeRozan: 10+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Devin Booker: 10+ | 0% | 7¢ | 8¢ | — | $0 | Trade → |
| Mark Williams: 2+ | 0% | 0¢ | 68¢ | — | $0 | Trade → |
| DeMar DeRozan: 8+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| DeMar DeRozan: 6+ | 0% | 0¢ | 13¢ | — | $0 | Trade → |
| Devin Booker: 4+ | 0% | 73¢ | 81¢ | — | $0 | Trade → |
| Mark Williams: 4+ | 0% | 0¢ | 67¢ | — | $0 | Trade → |
| Russell Westbrook: 8+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| DeMar DeRozan: 2+ | 0% | 76¢ | 84¢ | — | $0 | Trade → |
| Russell Westbrook: 4+ | 0% | 45¢ | 69¢ | — | $0 | Trade → |
| Mark Williams: 1+ | 0% | 40¢ | 67¢ | — | $0 | Trade → |
This prediction market asks how the assist total will resolve for the Phoenix at Sacramento game; it matters because assists reflect team ball movement and are sensitive to lineups, pace, and play-calling. Traders use these markets to express views on how the game will flow and which team will create scoring opportunities.
Phoenix and Sacramento are teams with distinct offensive identities and recent seasonal trends that influence assist volume: one team may emphasize isolation scoring while the other runs more ball movement and ball-screen action. Historical head-to-head matchups, current season pace, and roster availability all shape expected assist counts for a given game.
Prediction market outcomes map to ranges or specific totals for assists as defined on the market page; prices reflect the market’s collective view and update as new information (injuries, lineups, coaching changes) becomes available. Check the market outcome labels to see whether the contract refers to combined game assists, team assists, or individual player assists.
Consult the market description and outcome labels on the platform: these markets commonly track either the combined total assists in the game, a single team’s total assists, or an individual player’s assists as recorded in the official NBA box score and play-by-play.
Market closure timing is set by the platform and is often tied to the game start or an official lock time; check the market page for the stated close time and any updates that may occur before tip-off.
Watch official injury reports, announced starting lineups, minutes guidance from coaches, last-minute rotations, and matchup notes (e.g., defensive assignments); pregame press conferences and trusted beat reporters are also useful for late-breaking information.
Recent head-to-head games provide context about how these teams have matched up historically, but relevance depends on roster continuity and coaching; use them alongside current-season pace, offensive schemes, and availability rather than as the sole predictor.
Blowouts often reduce starters’ minutes and can lower or skew assist totals as bench rotations change; overtime increases total possessions and can raise assists; back-to-back scheduling may limit minutes for primary playmakers and reduce assist opportunities.