| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Shai Gilgeous-Alexander: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Brown: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick White: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luguentz Dort: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Brown: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Brown: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick White: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 7+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Brown: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick White: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luguentz Dort: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Brown: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luguentz Dort: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luguentz Dort: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luguentz Dort: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick White: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Derrick White: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to forecast the assist-related outcome for the NBA game Oklahoma City at Boston; assists are a central indicator of team ball movement and can drive in-play and pregame trading decisions.
Context includes each franchise's offensive style and how they distribute playmaking duties—teams that prioritize ball movement or run fast break offense tend to produce higher assist totals. Historical matchups, coaching philosophies and which players handle primary creation duties matter for assist distributions; pregame rotations and any roster changes are particularly relevant.
Market prices aggregate participant views about the likely assist outcome; use prices as a real-time signal and compare them to your independent model and incoming information like confirmed lineups or injury updates.
Primary ball handlers and lead facilitators—typically the starting point guards and designated playmakers, plus high-usage secondary creators and primary bench distributors—have the largest impact because they generate the majority of assists through playmaking and time of possession.
Assists are the official assists recorded in the NBA box score according to league scoring rules; consult the event description to confirm whether the market counts total game assists, assists by a particular team, or assists for a specific player.
Late lineup changes can materially shift expectations because they alter who handles the ball and how many minutes those playmakers will get; markets often react quickly to official injury reports and announced starters.
Coaches may change matchups, rotate different playmakers into critical minutes, or alter offensive schemes at halftime; those adjustments can increase or decrease assist opportunities depending on whether the team emphasizes ball movement or isolation scoring.
Multiple outcomes typically correspond to discrete assist totals or ranges, letting traders express precise views about different assist levels; use the spread of outcomes to identify where the market consensus sits and to construct positions that match your risk view or hedge exposure.