| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 220.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 217.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 229.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 202.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 205.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 208.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 226.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 214.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 232.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 211.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 223.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Golden State at Detroit game by trading discrete total-points outcomes. It matters because it aggregates market views on game tempo, shooting, and likely game script into a tradable price.
Golden State and Detroit bring distinct offensive and defensive identities that shape scoring expectations — one team is often associated with high-volume perimeter shooting while the other can vary between fast-paced and more defensive-oriented game plans. Game-level factors such as rotations, coaching tactics, and any late roster changes can materially shift the likely combined score. Historical head-to-heads and recent team trends provide context but do not deterministically set the total for a single matchup.
Odds in this market reflect how the market collectively prices each total-points outcome; higher odds indicate less market support for that band and lower odds indicate more support. Use odds alongside independent data (pace, injuries, matchup analytics) to form a trading view rather than treating them as fixed predictions.
The market will close according to the platform's listed close time, typically shortly before the game's scheduled tipoff; check the event page on KALSHI for the exact cutoff.
Each of the 11 outcomes corresponds to a specific band or range of combined final points; a single outcome resolves true if the final combined score falls inside that band per the market rules.
Player absences change both scoring volume and matchup behavior: missing high-usage shooters tends to lower expected totals, while the absence of defensive anchors can raise them; consider replacement minutes and how coaching adjustments alter pace.
Key metrics include each team’s possessions per game (pace), offensive and defensive efficiency, three-point attempt rate, turnover rate, and bench scoring — compare recent values for both teams and pay attention to how matchups amplify or mute those metrics.
Resolution depends on the market's specific rules on KALSHI; many total-point markets include overtime in the final combined score but you should verify the event terms on the platform before trading.