| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Devin Booker: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Devin Booker: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Grayson Allen: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Grayson Allen: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Grayson Allen: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Grayson Allen: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ace Bailey: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which points-range outcome will occur for the Utah at Phoenix game; it aggregates trader expectations about total scoring or team points across 12 distinct outcomes. It matters because price movement reflects how new information (injuries, rotations, matchup news) shifts expectations about scoring.
The event covers a matchup between Utah and Phoenix — commonly the Utah Jazz and Phoenix Suns in basketball contexts — where scoring outcomes depend on pace, defensive matchups, and availability of key players. Historical meetings between these teams often show variation in total points based on roster health, coaching adjustments, and whether the game is played at Phoenix's home arena. Because the market has multiple point-range outcomes, it captures a range of plausible scoring scenarios rather than a single total.
Market prices indicate the collective market expectation for each of the 12 point-range outcomes and update as new information arrives; traders can use prices to compare which scoring ranges are viewed as more or less likely. Watch price changes rather than fixed numbers to see how sentiment shifts around injuries, lineups, or late-breaking news.
The close time is listed as TBD; typically point markets close just before game tipoff or when final lineups are posted. Check the event page for the official close once the platform updates it.
The 12 outcomes break the possible scoring range into discrete buckets (for example, point ranges or exact totals), allowing traders to express beliefs about specific scoring intervals rather than a single number.
Pay attention to each team’s leading scorers and primary ball-handlers, plus high-usage starters and key bench scorers; late absences or reduced minutes from these players tend to have the largest effect on total points.
Home-court can influence pace and shooting comfort—crowd energy, familiarity with the arena, and travel burden on the visitor can all nudge the game’s tempo and scoring, though the magnitude depends on specific rosters and scheduling.
Sharp moves usually follow material information: injury reports, confirmed lineup changes, coach announcements, or large trade activity by informed participants. Always check news feeds and official team reports when you see abrupt shifts.