| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Minnesota wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome for the Portland at Minnesota game; spread markets matter because they summarize crowd expectations about which team will win by how many points.
Portland and Minnesota are matchup-specific franchises whose relative strengths depend on roster health, style of play, and coaching matchups. The spread reflects those factors plus situational elements like rest, travel, and recent form; historical head-to-head trends can matter but often shift with roster changes.
Market prices map to the consensus about which side will 'cover' the spread and by what margin; price movement over time incorporates new information such as injury reports, starting lineups, and wagering flow.
The spread expresses the expected point margin between Minnesota and Portland; traders buy outcomes tied to which side covers that margin. In this market you are effectively forecasting which spread-range outcome will occur, not just which team wins.
The 10 outcomes partition possible final margins into separate, mutually exclusive ranges. Each outcome corresponds to a specific spread interval; a trade pays out if the game's final margin falls into that interval.
Injury updates, rotations, and late scratches are primary drivers of spread movement: losing a starter or a primary scorer typically shifts the market, while confirmed healthy starters can stabilize it. Monitor official team reports and pregame news feeds for updates.
The close time is listed as TBD for this event; typically spread markets close before game tipoff and settle once the official final score is posted. Check the KALSHI platform for the exact close and settlement procedures.
Head‑to‑head history can provide context, but recent form, current rotations, and injury status usually carry greater predictive value. Give more weight to recent games and lineup continuity while using historical matchups as secondary context.