| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 211.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 202.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 208.5 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 229.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 214.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 205.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 199.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 217.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 226.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to predict the combined total points scored by Phoenix and Boston in their matchup; it matters because total-points markets let traders express views about pace, defense, and game-flow without picking a winner.
Phoenix and Boston are two high-profile NBA teams with contrasting strengths: Phoenix typically leans on high-volume perimeter scoring while Boston emphasizes two-way defense and balanced scoring. Recent roster moves, rotations, and the teams' situational context (home/away, rest, and travel) all shape expected scoring in any given meeting.
Market prices reflect the crowd’s expectation for the final combined score and will move as new information (injuries, starting lineups, news) arrives. Treat the prices as a real-time summary of how traders value each total-points outcome rather than a fixed forecast.
This market typically locks at the official game start (opening tip) or at the specific timestamp set by KALSHI; check the event page on KALSHI for the exact closing time.
The 11 outcomes correspond to discrete total-points ranges or thresholds for the combined Phoenix-Boston score; the outcome that contains the final combined points on the scoreboard at settlement wins — consult the event details for the exact range boundaries.
Injuries and scratches change expected scoring by altering who plays and how many minutes top scorers and role players will have, so such news typically moves prices as traders reassess the likely total.
Head-to-head history can reveal matchup tendencies (e.g., which team forces slower pace or defends certain areas well), but prioritize current-season form, roster health, and situational factors because each game’s context can differ markedly.
Whether overtime counts depends on KALSHI’s settlement rules for this specific event; many total-points markets include overtime unless the market explicitly states 'regulation only,' so confirm the event description on KALSHI.