| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Shai Gilgeous-Alexander: 40+ | 15% | 6¢ | 11¢ | — | $883 | Trade → |
| Chet Holmgren: 20+ | 35% | 26¢ | 31¢ | — | $743 | Trade → |
| Draymond Green: 10+ | 45% | 44¢ | 45¢ | — | $663 | Trade → |
| Luguentz Dort: 15+ | 9% | 9¢ | 12¢ | — | $660 | Trade → |
| Chet Holmgren: 15+ | 62% | 61¢ | 65¢ | — | $626 | Trade → |
| Shai Gilgeous-Alexander: 25+ | 82% | 66¢ | 82¢ | — | $571 | Trade → |
| Shai Gilgeous-Alexander: 30+ | 59% | 52¢ | 59¢ | — | $550 | Trade → |
| Draymond Green: 15+ | 15% | 7¢ | 14¢ | — | $403 | Trade → |
| Chet Holmgren: 25+ | 6% | 2¢ | 14¢ | — | $371 | Trade → |
| Al Horford: 15+ | 22% | 13¢ | 21¢ | — | $367 | Trade → |
| Luguentz Dort: 10+ | 50% | 45¢ | 49¢ | — | $225 | Trade → |
| Chet Holmgren: 10+ | 76% | 77¢ | 90¢ | — | $219 | Trade → |
| Al Horford: 10+ | 54% | 50¢ | 53¢ | — | $214 | Trade → |
| Draymond Green: 20+ | 5% | 0¢ | 5¢ | — | $153 | Trade → |
| Al Horford: 20+ | 7% | 0¢ | 6¢ | — | $133 | Trade → |
| Shai Gilgeous-Alexander: 35+ | 34% | 25¢ | 34¢ | — | $59 | Trade → |
| Draymond Green: 25+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Al Horford: 25+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Luguentz Dort: 25+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Luguentz Dort: 20+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Golden State at Oklahoma City game and aggregates trader expectations into discrete outcomes; it matters for bettors and analysts who want a market-based read on likely scoring. The market outcome can help summarize how the matchup, injuries, and game conditions are expected to influence scoring.
Golden State and Oklahoma City typically present contrasting offensive styles: Golden State relies heavily on perimeter shooting and spacing, while Oklahoma City has recently emphasized pace and transition scoring with younger creators. Historical head-to-head trends, recent roster changes, and short-term form (shooting hot streaks or slumps) all shape expectations for total points in any given meeting between these clubs.
Market prices represent the trading community’s collective expectation for different total-point outcomes and move as new information arrives (lineups, injuries, rest, weather for travel, etc.). Use prices as a dynamic signal of how likely each listed point-range or threshold is viewed, remembering the market can change rapidly up to its close.
Check the market description on the KALSHI page for the definitive settlement rule; some markets specify regulation-only while others include overtime. If the market text does not specify, use the platform’s settlement FAQ or contact support to confirm whether overtime counts.
Late scratches materially change expected scoring and typically produce sharp price movement as traders react; the market will incorporate new lineup information immediately, so monitor official team injury updates and in-game news close to tip-off.
Outcomes are discrete point ranges, thresholds, or exact totals defined by the market creator; view the market’s outcome labels on KALSHI to see whether they are ranges (e.g., bracketed totals), exact totals, or other formats before trading.
Resolution follows KALSHI’s event policies: typically markets are settled according to whether the game is played and official stats are recorded; postponements or cancellations may lead to market suspension, voiding, or delayed settlement—check KALSHI’s official rules or support for the exact handling.
Market close times vary by platform and by how the market creator set the close; many point markets close at or shortly before tip-off to freeze trading before live game events, so confirm the listed close time on the KALSHI market page (this event currently shows close as TBD).