| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 104.5 1H points scored | 0% | 44¢ | 49¢ | — | $0 | Trade → |
| Over 95.5 1H points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 107.5 1H points scored | 0% | 29¢ | 46¢ | — | $0 | Trade → |
| Over 98.5 1H points scored | 0% | 56¢ | 74¢ | — | $0 | Trade → |
| Over 110.5 1H points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 113.5 1H points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 116.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 92.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 101.5 1H points scored | 0% | 54¢ | 59¢ | — | $0 | Trade → |
This market asks traders to predict the combined number of points scored in the first half of the Charlotte vs Boston game. It matters because first-half totals isolate early-game pace, starters' impact, and coaching strategies that drive short-term scoring outcomes.
Charlotte and Boston are NBA franchises whose matchups can produce widely different first-half scoring depending on roster construction, coaching emphasis, and matchup advantages. Past meetings, each team’s season-long pace and rotation patterns, and late-breaking lineup news all shape expectations for early-game scoring.
Market prices indicate how traders collectively view the relative likelihood of the various first-half scoring outcomes; use prices to compare your own view to the market and to manage exposure as new information arrives.
Close time is set by the market creator and may change; check the KALSHI market page for the official trading deadline, which is typically before the game or before the first half begins.
The nine outcomes correspond to discrete first-half scoring ranges or specific point bins defined by the market listing; view the market description on KALSHI to see the exact point breakpoints and settlement rules.
Assess the ruled-out player’s scoring, playmaking, and pace influence, estimate the replacement’s likely minutes and role, and monitor how the market reacts to the news—prices typically move to reflect new information.
Some coaches shorten benches and lean on starters early, which raises first-half scoring concentration among top players; others stagger minutes or prioritize defense early, which can lower the combined first-half total—review recent rotation patterns for both teams.
Head-to-head history can reveal matchup tendencies (pace, defensive wins) but should be balanced with current rosters, injuries, and seasonal trends; use historical data as context rather than a sole predictor.