| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Golden State over 99.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State over 96.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Golden State over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 130.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market offers tradeable outcomes tied to the team scoring totals for the Golden State at Atlanta game, letting participants express expectations about how many points each team will score. It matters because team totals isolate offensive and tempo dynamics that can diverge from simple win/lose forecasts.
Golden State and Atlanta have distinct offensive identities that influence team totals: Golden State typically emphasizes spacing, perimeter shooting, and ball movement while Atlanta often plays an up-tempo style and leverages transition opportunities. Game-specific factors — venue (home/away), recent schedule, and any rotation or injury changes — can materially alter expected totals compared with historical patterns.
Market prices represent the collective expectation about which scoring-range outcomes are most likely and will move as new information arrives. Traders use those prices along with game news (injuries, starting lineups, rest) to assess whether to buy or sell particular team-total outcomes.
Each outcome corresponds to a defined scoring threshold or range for the team totals listed in this market (for example, over/under thresholds or bucketed ranges). The exact labels and ranges appear in the market interface; check the outcome descriptions to see which team and which point range each outcome represents.
TBD means the official trade-closure time has not been set yet; trading may remain open until the market operator sets a close. Final settlement will occur after the market closes and the operator applies the stated settlement rules based on the official game statistics.
Late injury or lineup news can shift expectations for team scoring quickly. Monitor official injury reports, pregame confirmations, and announced starters; participants typically update positions or prices in response to such developments because they change projected minutes and scoring responsibilities.
Head-to-head trends can provide context (for example, how each team’s offense performed historically against the other’s defense), but applicability depends on roster continuity and coaching changes. Use recent meetings and similar-roster matchups as the most relevant historical guide rather than distant results.
Settlement will follow the market’s published rules and use the official NBA game statistics as the source of truth. Different markets may specify whether regulation only or regulation plus overtime is used, so consult the market rules on KALSHI to confirm how team totals are defined and settled.