| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 130.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 124.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 127.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 109.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 106.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 115.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 121.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 112.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 118.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which scoring-range the combined first-half total will fall into for the Philadelphia vs Sacramento game; it matters to traders and fans who want to speculate on early-game scoring rather than full-game outcomes.
Philadelphia and Sacramento are NBA teams with differing offensive profiles; Sacramento has often favored an up-tempo style while Philadelphia's first-half scoring can change with rotation choices and coaching emphasis. First-half totals are sensitive to short-term factors—lineups, injuries, and game context—so past full-game trends do not always map neatly to halftime scoring.
Market prices express the consensus belief about which first-half score range is most likely and move as new information arrives. Treat market odds as dynamic signals that update when lineups, injury reports, or other pregame facts change.
It is the sum of both teams' points at the official halftime score; the market resolves to the bucket that contains that halftime total. Any scoring after the first half (including overtime) does not affect this market.
The market closes at the time listed on KALSHI (Closes: TBD) and typically stops trading shortly before the game tip-off; it resolves against the official halftime score recorded by the league. Check KALSHI for the precise close time for this specific listing.
The nine outcomes represent discrete point-range buckets covering different possible first-half totals. Only the bucket that contains the actual halftime total wins, so multiple outcomes let traders express views across a range of scoring scenarios.
Monitor availability and roles of each team's primary scorers, lead ball-handlers, and starting shooters—changes to those players or announced rotations and late injury reports tend to move first-half expectations most. Pre-game declarations from coaches about limiting minutes also matter.
Head-to-head and recent first-half scoring can provide context, but they often reflect small samples and shifting rosters. Use historical trends as one input alongside current-season pace, recent form, injuries, and announced lineups to form a view.