| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Charlotte over 117.5 points scored | 46% | 39¢ | 46¢ | — | $120 | Trade → |
| Charlotte over 126.5 points scored | 50% | 0¢ | 50¢ | — | $9 | Trade → |
| Portland over 106.5 points scored | 0% | 62¢ | 73¢ | — | $0 | Trade → |
| Portland over 124.5 points scored | 0% | 1¢ | 47¢ | — | $0 | Trade → |
| Charlotte over 108.5 points scored | 0% | 65¢ | 75¢ | — | $0 | Trade → |
| Charlotte over 111.5 points scored | 0% | 58¢ | 65¢ | — | $0 | Trade → |
| Portland over 112.5 points scored | 0% | 45¢ | 53¢ | — | $0 | Trade → |
| Portland over 118.5 points scored | 0% | 26¢ | 34¢ | — | $0 | Trade → |
| Portland over 115.5 points scored | 0% | 37¢ | 43¢ | — | $0 | Trade → |
| Charlotte over 105.5 points scored | 0% | 72¢ | 84¢ | — | $0 | Trade → |
| Charlotte over 129.5 points scored | 0% | 1¢ | 45¢ | — | $0 | Trade → |
| Charlotte over 120.5 points scored | 0% | 28¢ | 37¢ | — | $0 | Trade → |
| Portland over 121.5 points scored | 0% | 18¢ | 31¢ | — | $0 | Trade → |
| Charlotte over 114.5 points scored | 0% | 48¢ | 56¢ | — | $0 | Trade → |
| Portland over 109.5 points scored | 0% | 56¢ | 63¢ | — | $0 | Trade → |
| Portland over 103.5 points scored | 0% | 70¢ | 82¢ | — | $0 | Trade → |
| Portland over 100.5 points scored | 0% | 49¢ | 99¢ | — | $0 | Trade → |
| Charlotte over 123.5 points scored | 0% | 20¢ | 28¢ | — | $0 | Trade → |
This market asks how many points each team will score in the NBA game Charlotte at Portland, letting traders express expectations for Charlotte's and Portland's team totals. It matters because team-total markets isolate scoring outcomes and can capture information about pace, rotations, and player availability.
Charlotte and Portland have distinct offensive and defensive profiles that influence scoring outcomes — for example, roster construction, typical pace of play, and coaching philosophy all affect team totals. Home-court factors and travel (Charlotte traveling to Portland) historically influence scoring patterns, and matchup history or stylistic contrasts between these teams can change expectations.
Market prices reflect the consensus view of participants about likely point ranges and will update as new information (injuries, starting lineups, rest) arrives. Use prices as a real-time signal about expectations rather than a fixed prediction; consult the event page for the specific mapping of outcomes to score ranges.
Each outcome corresponds to a specific team-total threshold or score range offered on the event page; the platform splits possible scoring outcomes into discrete buckets that settle based on the official box score. See the event listing for the exact mapping of outcomes to point ranges.
This specific market's close time is listed as TBD; final close will occur before game tipoff per KALSHI's rules—check the event page for the announced closing timestamp and any last‑minute changes.
Outcomes are settled using the official NBA game statistics as provided by the league and per KALSHI's settlement rules for the event; the settlement mechanism on the event page explains which official source and which final statistic determine the winning outcome.
A late-out typically shifts market prices as traders update expectations about scoring; settlement remains based on the final official box score regardless of pregame changes. Use official injury reports and starting lineup announcements to anticipate market movement.
Whether overtime is included depends on the market's settlement rules for this event; some team-total markets include overtime points while others exclude them—check the event's specific rules on the platform to confirm.