| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Sam Hauser: 10+ | 53% | 46¢ | 48¢ | — | $3K | Trade → |
| Jayson Tatum: 20+ | 49% | 47¢ | 49¢ | — | $3K | Trade → |
| Jayson Tatum: 25+ | 26% | 22¢ | 26¢ | — | $3K | Trade → |
| Jayson Tatum: 30+ | 11% | 4¢ | 12¢ | — | $3K | Trade → |
| Victor Wembanyama: 25+ | 50% | 47¢ | 50¢ | — | $2K | Trade → |
| Dylan Harper: 20+ | 7% | 0¢ | 7¢ | — | $1K | Trade → |
| Dylan Harper: 15+ | 17% | 12¢ | 16¢ | — | $963 | Trade → |
| Jayson Tatum: 15+ | 73% | 69¢ | 74¢ | — | $833 | Trade → |
| Dylan Harper: 10+ | 47% | 45¢ | 47¢ | — | $762 | Trade → |
| Sam Hauser: 15+ | 18% | 6¢ | 18¢ | — | $509 | Trade → |
| Stephon Castle: 15+ | 57% | 54¢ | 57¢ | — | $449 | Trade → |
| Devin Vassell: 20+ | 14% | 6¢ | 18¢ | — | $443 | Trade → |
| Neemias Queta: 15+ | 11% | 6¢ | 15¢ | — | $397 | Trade → |
| Jaylen Brown: 35+ | 4% | 0¢ | 15¢ | — | $392 | Trade → |
| De'Aaron Fox: 20+ | 23% | 23¢ | 33¢ | — | $368 | Trade → |
| Victor Wembanyama: 20+ | 75% | 59¢ | 74¢ | — | $357 | Trade → |
| Jaylen Brown: 25+ | 53% | 50¢ | 53¢ | — | $329 | Trade → |
| Sam Hauser: 20+ | 8% | 0¢ | 8¢ | — | $307 | Trade → |
| Victor Wembanyama: 30+ | 24% | 12¢ | 25¢ | — | $277 | Trade → |
| Derrick White: 15+ | 58% | 57¢ | 58¢ | — | $273 | Trade → |
| Stephon Castle: 20+ | 24% | 15¢ | 26¢ | — | $252 | Trade → |
| Victor Wembanyama: 15+ | 92% | 77¢ | 92¢ | — | $193 | Trade → |
| Derrick White: 20+ | 25% | 17¢ | 29¢ | — | $181 | Trade → |
| Neemias Queta: 10+ | 48% | 45¢ | 48¢ | — | $181 | Trade → |
| Jaylen Brown: 15+ | 92% | 69¢ | 92¢ | — | $174 | Trade → |
| Jaylen Brown: 20+ | 75% | 64¢ | 75¢ | — | $166 | Trade → |
| Victor Wembanyama: 35+ | 12% | 4¢ | 11¢ | — | $154 | Trade → |
| Derrick White: 25+ | 13% | 0¢ | 13¢ | — | $108 | Trade → |
| Derrick White: 10+ | 85% | 70¢ | 85¢ | — | $98 | Trade → |
| De'Aaron Fox: 15+ | 64% | 63¢ | 64¢ | — | $83 | Trade → |
| De'Aaron Fox: 10+ | 89% | 74¢ | 89¢ | — | $77 | Trade → |
| Stephon Castle: 10+ | 81% | 70¢ | 80¢ | — | $74 | Trade → |
| Neemias Queta: 20+ | 6% | 0¢ | 6¢ | — | $50 | Trade → |
| Devin Vassell: 10+ | 75% | 60¢ | 74¢ | — | $26 | Trade → |
| De'Aaron Fox: 25+ | 14% | 1¢ | 14¢ | — | $23 | Trade → |
| Devin Vassell: 15+ | 47% | 38¢ | 43¢ | — | $20 | Trade → |
| Jaylen Brown: 30+ | 30% | 16¢ | 31¢ | — | $6 | Trade → |
| Devin Vassell: 25+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Stephon Castle: 25+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
This market asks which discrete total-points outcome will be realized in the Boston at San Antonio game; it matters because total points reflect team pace, defenses, and player availability, which traders use to express views or hedge exposure.
Boston and San Antonio have different roster constructions and season trajectories that influence expected scoring — the matchup can swing toward a high- or low-scoring game depending on rotations and matchup advantages. Recent schedule, travel, and any roster changes leading into the game provide the most relevant context; historical head-to-head numbers are informative but should be weighted against current-season form.
Market prices represent the consensus view of participants about which points outcome will occur and update as new information arrives; treat them as a dynamic summary of known factors rather than a fixed prediction.
Each outcome corresponds to a discrete total-points result or narrow point-range for the game (the market listing shows the exact point values or buckets); one outcome will resolve as the winning outcome based on the official final score and the market's settlement rules.
Settlement is based on the official final score reported by the league or designated data provider; whether overtime counts or not depends on the market's stated settlement rules, so check the event details on the platform for the definitive policy.
Late injuries or scratches can materially change expected scoring and often shift market prices quickly; monitor official team reports, trusted beat reporters, and the platform's trade feed prior to lock-in or settlement to incorporate that information.
They can provide context, but weight recent season-level statistics and current rosters more heavily — coaching changes, roster turnover, and small-sample quirks in head-to-head history can make older matchups less predictive.
A large number of outcomes indicates a fine-grained set of total-point possibilities, which can allow precise positioning but may reduce liquidity per outcome; traded volume gives a sense of activity and depth — lower volume can mean wider effective costs to enter or exit a position, while higher volume typically means tighter execution.