| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Victor Wembanyama: 25+ | 48% | 46¢ | 48¢ | — | $7K | Trade → |
| Victor Wembanyama: 15+ | 92% | 90¢ | 91¢ | — | $6K | Trade → |
| Kevin Durant: 25+ | 49% | 48¢ | 49¢ | — | $5K | Trade → |
| Dylan Harper: 10+ | 51% | 48¢ | 51¢ | — | $4K | Trade → |
| Victor Wembanyama: 35+ | 12% | 7¢ | 11¢ | — | $4K | Trade → |
| Kevin Durant: 20+ | 73% | 72¢ | 73¢ | — | $3K | Trade → |
| Reed Sheppard: 15+ | 46% | 45¢ | 46¢ | — | $2K | Trade → |
| Kevin Durant: 35+ | 11% | 6¢ | 11¢ | — | $2K | Trade → |
| De'Aaron Fox: 20+ | 30% | 30¢ | 31¢ | — | $2K | Trade → |
| Reed Sheppard: 10+ | 76% | 75¢ | 76¢ | — | $2K | Trade → |
| Amen Thompson: 15+ | 61% | 59¢ | 60¢ | — | $1K | Trade → |
| Victor Wembanyama: 30+ | 25% | 24¢ | 25¢ | — | $1K | Trade → |
| De'Aaron Fox: 15+ | 62% | 58¢ | 62¢ | — | $955 | Trade → |
| Dylan Harper: 25+ | 3% | 0¢ | 2¢ | — | $772 | Trade → |
| Stephon Castle: 15+ | 55% | 53¢ | 55¢ | — | $659 | Trade → |
| Dylan Harper: 20+ | 8% | 3¢ | 8¢ | — | $618 | Trade → |
| Kevin Durant: 30+ | 26% | 21¢ | 26¢ | — | $610 | Trade → |
| Alperen Sengun: 15+ | 70% | 66¢ | 70¢ | — | $607 | Trade → |
| De'Aaron Fox: 10+ | 88% | 81¢ | 87¢ | — | $587 | Trade → |
| Victor Wembanyama: 20+ | 73% | 69¢ | 73¢ | — | $505 | Trade → |
| Jabari Smith Jr.: 25+ | 6% | 1¢ | 6¢ | — | $495 | Trade → |
| Alperen Sengun: 20+ | 40% | 39¢ | 40¢ | — | $493 | Trade → |
| De'Aaron Fox: 25+ | 13% | 9¢ | 13¢ | — | $435 | Trade → |
| Amen Thompson: 20+ | 32% | 30¢ | 31¢ | — | $425 | Trade → |
| Devin Vassell: 10+ | 74% | 72¢ | 74¢ | — | $406 | Trade → |
| Dylan Harper: 15+ | 20% | 16¢ | 20¢ | — | $319 | Trade → |
| Alperen Sengun: 30+ | 6% | 4¢ | 7¢ | — | $274 | Trade → |
| Stephon Castle: 20+ | 26% | 23¢ | 25¢ | — | $235 | Trade → |
| Stephon Castle: 10+ | 83% | 81¢ | 83¢ | — | $225 | Trade → |
| Tari Eason: 10+ | 61% | 57¢ | 61¢ | — | $186 | Trade → |
| Jabari Smith Jr.: 15+ | 42% | 38¢ | 42¢ | — | $184 | Trade → |
| Alperen Sengun: 25+ | 18% | 15¢ | 17¢ | — | $180 | Trade → |
| Amen Thompson: 10+ | 88% | 81¢ | 88¢ | — | $174 | Trade → |
| Tari Eason: 20+ | 8% | 5¢ | 8¢ | — | $123 | Trade → |
| Jabari Smith Jr.: 10+ | 74% | 69¢ | 73¢ | — | $113 | Trade → |
| Reed Sheppard: 20+ | 23% | 15¢ | 21¢ | — | $111 | Trade → |
| Devin Vassell: 20+ | 17% | 12¢ | 17¢ | — | $111 | Trade → |
| Stephon Castle: 25+ | 9% | 6¢ | 9¢ | — | $100 | Trade → |
| Amen Thompson: 25+ | 11% | 8¢ | 11¢ | — | $100 | Trade → |
| Reed Sheppard: 25+ | 9% | 2¢ | 7¢ | — | $41 | Trade → |
| Devin Vassell: 15+ | 43% | 39¢ | 43¢ | — | $34 | Trade → |
| Tari Eason: 15+ | 24% | 24¢ | 28¢ | — | $20 | Trade → |
| Devin Vassell: 25+ | 0% | 2¢ | 6¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 20+ | 0% | 13¢ | 17¢ | — | $0 | Trade → |
This market covers point outcomes for the Houston at San Antonio matchup and matters because it aggregates trader expectations about how many points will be scored in that specific game context.
Houston vs San Antonio is a geographically local matchup with frequent meetings and familiar coaching and player matchups; seasonal form, roster health, and coaching adjustments between these clubs often shape scoring. Because the market lists 40 discrete outcomes, it captures fine-grained expectations about likely scoring ranges or exact totals for this game.
Market prices represent the collective expectations of participants and update as new information—injuries, starting lineups, or late scratches—arrives. Treat prices as a real-time signal about perceived likelihoods, not a certainty about the final score.
Each listed outcome corresponds to a specific points total or narrow points range for the market’s designated subject (check the market description to confirm whether outcomes are for one team’s points or the game total). The market’s 40 outcomes span the plausible scoring values the platform allows traders to choose between.
The market’s close time is listed as TBD; typically these markets close before game tip-off or at a platform-defined cutoff. Check the market page for the final timestamp and any platform announcements about the close.
Key items are availability of each team’s primary scorers and playmakers, unexpected rest days or load management decisions, and any late-game injury reports—removal or addition of a leading scorer or a change to expected minutes will materially affect scoring projections.
Historical matchups set a baseline for likely scoring patterns because teams know each other’s schemes, but seasonal form, roster turnover, and coaching changes can shift those patterns; use recent direct matchups as context but prioritize current-season lineups and injuries.
On-trade platforms, prices typically update rapidly after official injury reports, starting lineup confirmations, or other verified news; however, timing depends on participant response and liquidity, so there can be brief lags between real-world events and market adjustments.