| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| VJ Edgecombe: 20+ | 41% | 40¢ | 41¢ | — | $2K | Trade → |
| Victor Wembanyama: 25+ | 54% | 51¢ | 54¢ | — | $1K | Trade → |
| Tyrese Maxey: 30+ | 55% | 56¢ | 58¢ | — | $1K | Trade → |
| VJ Edgecombe: 25+ | 19% | 16¢ | 19¢ | — | $1K | Trade → |
| VJ Edgecombe: 15+ | 68% | 64¢ | 68¢ | — | $937 | Trade → |
| De'Aaron Fox: 15+ | 56% | 53¢ | 56¢ | — | $654 | Trade → |
| Stephon Castle: 15+ | 61% | 58¢ | 61¢ | — | $572 | Trade → |
| Devin Vassell: 15+ | 43% | 39¢ | 43¢ | — | $483 | Trade → |
| Tyrese Maxey: 25+ | 74% | 73¢ | 78¢ | — | $460 | Trade → |
| Victor Wembanyama: 30+ | 28% | 26¢ | 30¢ | — | $416 | Trade → |
| Devin Vassell: 20+ | 19% | 0¢ | 19¢ | — | $389 | Trade → |
| Tyrese Maxey: 40+ | 16% | 15¢ | 19¢ | — | $283 | Trade → |
| De'Aaron Fox: 20+ | 21% | 0¢ | 26¢ | — | $241 | Trade → |
| Stephon Castle: 20+ | 31% | 29¢ | 32¢ | — | $183 | Trade → |
| Tyrese Maxey: 20+ | 88% | 87¢ | 88¢ | — | $166 | Trade → |
| Victor Wembanyama: 20+ | 79% | 72¢ | 75¢ | — | $152 | Trade → |
| Tyrese Maxey: 35+ | 32% | 33¢ | 36¢ | — | $106 | Trade → |
| VJ Edgecombe: 10+ | 87% | 85¢ | 89¢ | — | $104 | Trade → |
| Devin Vassell: 10+ | 75% | 0¢ | 74¢ | — | $101 | Trade → |
| De'Aaron Fox: 25+ | 12% | 0¢ | 12¢ | — | $96 | Trade → |
| Victor Wembanyama: 35+ | 12% | 9¢ | 12¢ | — | $78 | Trade → |
| Stephon Castle: 10+ | 87% | 81¢ | 87¢ | — | $69 | Trade → |
| Kelly Oubre Jr.: 15+ | 58% | 0¢ | 57¢ | — | $31 | Trade → |
| De'Aaron Fox: 10+ | 83% | 59¢ | 83¢ | — | $22 | Trade → |
| Stephon Castle: 25+ | 12% | 12¢ | 13¢ | — | $12 | Trade → |
| Kelly Oubre Jr.: 25+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Devin Vassell: 25+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Kelly Oubre Jr.: 10+ | 0% | 79¢ | 84¢ | — | $0 | Trade → |
| Dylan Harper: 10+ | 0% | 55¢ | 62¢ | — | $0 | Trade → |
| Dylan Harper: 15+ | 0% | 0¢ | 32¢ | — | $0 | Trade → |
| Kelly Oubre Jr.: 20+ | 0% | 0¢ | 30¢ | — | $0 | Trade → |
| Dylan Harper: 20+ | 0% | 0¢ | 11¢ | — | $0 | Trade → |
This market asks traders to predict the points outcome for the San Antonio at Philadelphia game and aggregates expectations about how many points will be scored. It matters because prices update as new information (injuries, rotations, rest) arrives, offering a real‑time measure of consensus on scoring.
San Antonio and Philadelphia bring different offensive and defensive profiles, home‑court effects, and rotation depths that shape scoring expectations. Recent schedule, travel and rest for both teams, plus any roster changes late in the day, can materially change likely point outcomes. The market has 32 discrete outcomes, so traders are choosing among many point ranges or thresholds rather than a single binary result.
Market prices represent the aggregate beliefs of traders about which point outcome will occur and can move quickly as lineup, injury, or game‑tempo news arrives. Treat prices as continuously updating signals, not guarantees, and confirm specific outcome definitions on the KALSHI event page before trading.
The 32 outcomes correspond to the discrete point ranges or thresholds defined by the event on KALSHI; each outcome is mutually exclusive and maps to a specific scoring interval or exact total as listed on the market page.
Close timing is listed on the KALSHI event page and is typically set to occur before official game start according to the platform’s rules; because this event shows 'Closes: TBD', check the market page for the final close time.
Yes — if the market is still open, traders can react to warmup‑room news and prices will adjust; if the market has already closed, outcome resolution will use the official game statistics and the market will not change post‑close.
Resolution conventions vary by market, but most game‑points markets on exchanges use the official final score including overtime unless the event description explicitly states otherwise; confirm the event rules on KALSHI.
Use head‑to‑head results as one input, but adjust for current season roster changes, injuries, coaching, venue, and recent pace trends — historical matchups can be informative but may be a small sample and less relevant if personnel or style has changed.