| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Nickeil Alexander-Walker: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ CJ McCollum: 8+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Ty Jerome: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ty Jerome: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ CJ McCollum: 2+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ CJ McCollum: 4+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Ty Jerome: 2+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Nickeil Alexander-Walker: 2+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ CJ McCollum: 6+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Onyeka Okongwu: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ty Jerome: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Nickeil Alexander-Walker: 4+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Ty Jerome: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks how many assists will be recorded in the Memphis at Atlanta game; it matters because assists capture team ball movement and playmaking, which are sensitive to lineup, pace, and game context.
Memphis and Atlanta have contrasting offensive profiles that influence assist totals: Memphis often relies on guard-driven creation and quick transitional possessions, while Atlanta typically features perimeter play and ball movement around its primary creators. The market on KALSHI lists 15 distinct outcomes and currently shows low trading volume, so liquidity and price movement may be limited until closer to game time.
Market prices reflect the crowd's consensus expectation for total assists and will move as new information (injuries, starting lineups, rotations, or in-game developments) becomes available. Treat prices as a real-time aggregation of information rather than a fixed forecast.
Availability of each team’s starting point guard and primary creators matters most, along with any backup playmakers who would see increased minutes; changes to those roles shift how often assists are created.
Prices typically react quickly when official injury reports or confirmed starting lineups are released; traders incorporate that information and markets update up until the platform’s stated close time for this event.
Each outcome corresponds to a different assists total or assists-range for the game, spanning low to high possible assist totals so traders can express views on specific outcome buckets.
The listed close time is TBD for this event; consult the KALSHI market page for the official close time, which is typically set before tip-off or may vary if the platform allows in-play trading.
Estimate expected possessions from recent pace figures and consider how each team’s defensive pressure limits passing lanes; combine those matchup insights with likely rotations to judge whether assists will skew higher or lower.