| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 104.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 125.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 101.5 1H points scored | 0% | 47¢ | 99¢ | — | $0 | Trade → |
| Over 119.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 122.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 116.5 1H points scored | 0% | 31¢ | 39¢ | — | $0 | Trade → |
| Over 110.5 1H points scored | 0% | 51¢ | 55¢ | — | $0 | Trade → |
| Over 113.5 1H points scored | 0% | 41¢ | 45¢ | — | $0 | Trade → |
| Over 107.5 1H points scored | 0% | 59¢ | 65¢ | — | $0 | Trade → |
This market asks which first-half total outcome will occur in the Detroit vs Brooklyn game on KALSHI. It matters for traders who want to express a view or hedge exposure to how many points will be scored in the game's opening half.
Detroit and Brooklyn are NBA opponents whose matchup-level scoring dynamics are shaped by each team's pace, offensive style, and roster availability. First-half totals are influenced by starting lineups and game context more than full-game aggregates, so pregame news and recent first-half trends are especially relevant. The market on KALSHI is structured into multiple discrete outcomes to capture different first-half scoring ranges.
Market prices aggregate participant expectations about which first-half total range will occur and will move when new information arrives. Use prices as a summary of market sentiment and monitor changes rather than treating a single price as an absolute forecast.
Each outcome represents a specific first-half total range or cutoff set by the market operator; selecting an outcome is a bet that the actual combined first-half points will fall into that bucket.
The listed close time is TBD; typically KALSHI game markets close at or shortly before the scheduled tip-off or when final starting lineups are posted, so check the event page for the official close time before trading.
Late scratches or lineup changes materially affect first-half scoring expectations and usually cause rapid price adjustments, since the absence or presence of specific scorers and defenders shifts projected point totals.
Head-to-head history can provide context, but its predictive value is limited compared with very recent first-half trends, current rotations, and roster availability; prioritize current-season and recent-game first-half splits.
Watch official injury reports, team announcements of starting lineups and minute restrictions, press conferences, and late-breaking news on player availability or travel; these items tend to produce the largest and fastest price reactions.