| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Detroit wins the 1H by over 2.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins the 1H by over 8.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins the 1H by over 1.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins the 1H by over 16.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins the 1H by over 13.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins the 1H by over 10.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins the 1H by over 5.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins the 1H by over 7.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins the 1H by over 19.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins the 1H by over 11.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State wins the 1H by over 4.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the first-half point spread outcome between Golden State and Detroit. It matters because first-half spreads isolate early-game dynamics and react quickly to starting lineups and pregame news.
Golden State and Detroit typically present contrasting styles that influence short bursts of play: one team may emphasize spacing and three-point shooting while the other may focus on transition or interior play. First-half outcomes reflect immediate coaching decisions, rotation patterns, and player matchups rather than full-game adjustments. Historical matchups provide context but each game's situational factors (injuries, rest, travel) often drive short-term results.
Market prices represent aggregated trader expectations for which first-half spread outcome will occur; shifts in prices incorporate new information such as confirmed starters, injury reports, or late-breaking strategy changes. Use prices as a real-time signal about how the market weighs those factors, not as fixed forecasts.
The event lists 'Closes: TBD'; final close time will be shown on the trading platform and often aligns with the scheduled game start or the opening tip, so monitor the market page for the official cutoff.
Each of the 11 outcomes maps to a specific first-half point-differential outcome or discrete spread interval; the platform provides the exact point values or labels for each outcome on the market interface.
Last-minute confirmations of starters or injuries are highly relevant because they directly change early-matchup dynamics and expected first-half performance; traders commonly reprice rapidly when official reports arrive.
Settlement follows KALSHI’s published rules for cancellations and postponements; consult the market’s rules page for specifics, as contracts may be voided, rescheduled, or settled according to the platform policy.
Historical first-half trends can highlight matchup patterns, but they should be weighted alongside current-season form, recent rotations, and situational variables (rest, travel, injuries) because those factors often dominate short-term first-half outcomes.