| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jalen Suggs: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 7+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which specific assists-related outcome will occur in the upcoming Orlando at Atlanta matchup; it matters because assists reflect team playmaking and can be driven by rotations, strategy, and matchup dynamics.
Orlando and Atlanta come into matchups with distinct playmaking profiles: one team may emphasize possession and buildup while the other seeks quick transitions and through-balls/crosses. Historical meetings and seasonal playing styles influence assist totals, but lineups and tactical adjustments for the single game can change expected patterns rapidly.
Market prices represent the aggregated expectation of traders about which discrete assists outcome will occur; treat those prices as a consensus signal about relative chances, not as fixed predictions, and remember they can shift as lineup, injury, and weather information arrives.
Each outcome corresponds to a specific assists-related result for the match (for example a particular total, range, or named player achieving an assist threshold); consult the market outcome list on the platform to see the exact mapping used for this event.
Closing time is set by the market operator and is listed on the event page; markets for in-game stats commonly close at or just before the official start of the match, so check the market page for the final listed close time and any last-minute changes.
Look at each team’s primary playmakers—starting point guard or attacking midfielder, wing creators who deliver crosses/passes, and set-piece takers—as those roles generate the majority of assists; any change to those starters or their minutes is particularly influential.
Late roster changes can materially shift expectations because they alter who is on the ball and who creates chances; traders typically update positions quickly after official injury reports or coach announcements, so monitor lineup news up to market close.
Head-to-head history can offer context about venue tendencies and matchup quirks, but sample sizes are often small and team strategies and personnel change over time—use historical data as one input alongside current season form, lineup news, and tactical matchups.