| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Nic Claxton: 4+ | 44% | 42¢ | 43¢ | — | $305 | Trade → |
| Nic Claxton: 6+ | 16% | 12¢ | 13¢ | — | $102 | Trade → |
| Nic Claxton: 8+ | 7% | 0¢ | 5¢ | — | $40 | Trade → |
| Nic Claxton: 2+ | 0% | 77¢ | 82¢ | — | $0 | Trade → |
| Nic Claxton: 10+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
This market asks how assists will play out in the Memphis at Brooklyn matchup; it matters because assists capture team ball movement and how key playmakers perform on game day.
Memphis and Brooklyn have distinct offensive identities that shape assist outcomes: one team may rely more on primary ball-handlers while the other emphasizes ball movement and off-ball creation. Historical matchups, roster stability, and coaching strategies all influence how frequently assist opportunities arise in a given game.
Market prices reflect the collective expectation of traders about the listed assists outcomes and will move as new information (injuries, rotations, game tempo) becomes available; treat prices as real-time signals, not guarantees.
The event page currently lists the close time as TBD; the platform will publish a specific trading cutoff and the resolution rule—typically markets resolve at the official end of the referenced game period (check the market’s rules for exact details).
That depends on the market’s resolution rules posted on the event; some assists markets include overtime while others count only regulation—verify the settlement rules on the market page before trading.
Primary ball-handlers and lead playmakers (starting point guards and primary creators), plus key secondary facilitators and regular rotation players who handle significant minutes, will have the largest impact; changes to those roles matter more than single-game scoring outbursts.
Treat them as high-impact information: markets typically react quickly to official injury reports and lineup news because such changes can materially shift who handles playmaking responsibilities and how many assist opportunities arise.
Focus on each team’s recent assist rates and pace, coaching tendencies around ball movement, typical rotation patterns in head-to-head games, and situational factors like home/away splits or congested schedules—these contextual trends help interpret how a given game might produce assists.