| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Donte DiVincenzo: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rudy Gobert: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Neemias Queta: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Neemias Queta: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rudy Gobert: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick White: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaden McDaniels: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donte DiVincenzo: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Jaden McDaniels: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Donte DiVincenzo: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick White: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Neemias Queta: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Jaden McDaniels: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Neemias Queta: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rudy Gobert: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaden McDaniels: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Sam Hauser: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Sam Hauser: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Sam Hauser: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julius Randle: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julius Randle: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick White: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julius Randle: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Derrick White: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Payton Pritchard: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julius Randle: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders bet on point-related outcomes for the Minnesota at Boston game (e.g., team totals, combined totals, or point ranges). It matters because it aggregates expectations about scoring and game tempo into tradable prices that update as new information arrives.
Minnesota and Boston meet with contrasting styles that often influence scoring: one team may push pace and rely on outside shooting while the other typically defends more tightly at home. Game-to-game scoring depends on recent form, injuries, lineup changes, and scheduling factors such as rest or back-to-back games. Historical results between the teams provide context but rosters and strategies evolve, so past scores are only one input.
Market prices for each outcome reflect the collective view of traders about which point ranges or totals are most likely; movement in prices signals how new information (injuries, rotations, rest, weather for travel) is being incorporated. Low volume or thin markets can be more volatile and may not fully reflect broader consensus.
The event page lists the closing time as TBD; typically such markets close at or shortly before game start or when the market operator determines resolution becomes possible—check the event page or platform notices for updates.
Outcomes usually correspond to discrete point totals or specified point ranges (for a team or combined score). The event description on the platform will list each outcome label and the exact resolution rule for that label.
Resolution rules vary by market; this event’s page or rulebook will state whether points scored in overtime are included or whether resolution is based on regulation time only—confirm the market’s official resolution criteria before trading.
Monitor official injury reports and projected lineups: key offensive absences typically lower expected scoring, replacements change usage rates, and defensive absences can raise opponent scoring. Late scratches often trigger rapid price moves, so watch updates close to tip-off.
Head-to-head history can highlight matchup tendencies (pace, scoring splits, travel effects), but roster turnover, coaching changes, and short-term form limit how predictive that history is—use it alongside current-season metrics and recent performance.