| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 226.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 244.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 214.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 229.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 223.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 220.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 217.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 241.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 235.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 232.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 238.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the total points scored in the Portland at Minnesota game; totals markets are a way to express a view on game tempo, shooting, and defense rather than on which team wins.
Games between Portland and Minnesota can produce very different scores depending on roster availability, coaching matchups, and recent form. Seasonal trends like pace of play, three-point reliance, and defensive performance — plus any late injury or rotation news — are the main drivers that change expectations for the total.
Market prices reflect the collective expectation for each listed total outcome at a given moment and move as new information arrives; treat them as real-time signals that you can compare with your own model or information before trading.
The event currently shows a close time of TBD; on most platforms total markets close shortly before the game starts, so check the market page for the definitive final close time and plan orders accordingly.
Injuries to primary scorers or primary playmakers tend to lower expected scoring, while injuries to key defenders can increase it; markets typically react to official injury reports and backup rotation announcements.
Use recent possession estimates and offensive/defensive ratings over a relevant sample (for example, the last several games) to gauge tempo and efficiency; a faster pace raises expected totals, but low shooting efficiency or strong opponent defense can offset that.
Home-court can affect shooting splits, pace, and travel fatigue for the visitor; review each team’s home/away scoring splits and head‑to‑head totals to see if the venue historically influences the combined score.
Those outcomes usually map to discrete total ranges or exact totals; pick based on your forecast for likely scoring distribution and how much risk you want to assume — narrower ranges offer bigger payoffs but require a more precise prediction, while wider ranges are lower risk.