| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jaden McDaniels: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rudy Gobert: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaden McDaniels: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaden McDaniels: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 40+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julius Randle: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donte DiVincenzo: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julius Randle: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Grayson Allen: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donte DiVincenzo: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donte DiVincenzo: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Grayson Allen: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaden McDaniels: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donte DiVincenzo: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rudy Gobert: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rudy Gobert: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Grayson Allen: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julius Randle: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rudy Gobert: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julius Randle: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Grayson Allen: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market covers the total points outcome for the NBA game between the Phoenix Suns and the Minnesota Timberwolves; it matters because total scoring drives many trading and hedging strategies for fans and investors.
Phoenix and Minnesota are teams whose offensive styles and pace influence game totals, and scoring expectations are shaped by season-long trends, roster makeup, and coaching strategies. Game-specific factors such as injuries, rotations, travel and rest schedules can materially change expected scoring compared with longer-term averages.
Market prices reflect the collective view of traders about likely point outcomes and will move as new information arrives; use prices as a real-time summary of market sentiment rather than a fixed forecast.
The platform sets the close time for this market; many points markets close at or shortly before the official tipoff, but final closure can vary — check the market page for the definitive close time.
Injury news for high-usage scorers or key rotation players typically moves expectations for total points because it alters scoring distribution and pace; late-breaking reports often produce the largest intraday price moves.
Each outcome corresponds to a specific points range or threshold for the game’s total; review the market’s outcome labels and settlement rules to understand which exact point totals or buckets determine each outcome.
Head-to-head history can highlight matchup patterns, but it should be adjusted for current rosters, coaching changes, and situational factors like venue and recent form; prioritize recent, context-matched games over distant results.
Late-game injuries, key players fouling out, unexpected coaching rotations, overtime, and major momentum swings or scoring bursts can quickly change market expectations and lead to rapid price adjustments.