| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| De'Aaron Fox: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 7+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how assists will be distributed in the NBA game Phoenix at San Antonio, offering traders a way to express views about ball movement and playmaking in that specific matchup. It matters because assists reflect team pace, offensive flow, and matchup dynamics that often drive in-game outcomes and player evaluations.
Phoenix and San Antonio bring contrasting offensive philosophies and roster compositions that influence assist production: one club may emphasize pick-and-roll creation and ball circulation while the other may run more isolation or young-hands-offense that impacts assist numbers. Historical matchups, recent rotations, and any short-term lineup changes or injuries shape expectations for how often passes lead directly to made baskets. Since the market has multiple outcome bands, traders are effectively forecasting which assist-range is most likely given those contextual factors.
Market prices aggregate traders’ beliefs about which assist outcome will occur and update as new information (injuries, starting lineups, in-season trends) arrives. Use prices as a real-time sentiment indicator rather than a fixed probability—interpret shifts as market reactions to news and anticipated game script.
The listed close time is TBD; most event markets close shortly before the scheduled game start and settle after the official NBA box score is published. Check the market page for the final close and settlement rules.
The event title is concise but the market description defines the measured quantity. It may represent combined team assists, one team’s total, or an exact assist-range outcome; confirm the market’s outcome definitions on the event page before trading.
Settlement typically follows the official NBA box score as recorded by the league’s official statisticians. Whether overtime is included should be specified in the market rules; if not explicitly stated, consult the platform’s settlement policy on game extensions and OT.
Late news about starters, injuries, or load management can move prices because they materially change who handles the ball and how many assists are likely. Markets usually price in such updates quickly, so monitor lineup reports and official injury updates near tip-off.
Key elements include which team controls tempo, whether defenses prioritize switching or help rotations (which can increase secondary assists), the presence of a dominant ball-handler or creator, and coaching tendencies to encourage ball movement versus isolation sets.