| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Onyeka Okongwu: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dyson Daniels: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dyson Daniels: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Johnson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dyson Daniels: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Onyeka Okongwu: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ McCollum: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-range the combined Orlando at Atlanta game total will fall into; it matters because total points markets aggregate expectations about pace, shooting, and lineup availability into a single tradable outcome.
Orlando and Atlanta have contrasting offensive and defensive profiles that shape expectations for total scoring: one team may emphasize half-court structure and defense while the other often plays faster and takes more threes. The market offers 19 discrete outcomes that cover possible total-point buckets; watch lineup news and injury reports because the event close time is listed as TBD and can change pregame.
Market prices reflect the collective view of which point-range is most likely given available information; prices will move as new information (injuries, starting lineups, rest, in-season form) becomes public.
Each outcome corresponds to a labeled total-point value or bucket shown on the event page; consult the outcome labels on the KALSHI market to see the precise boundaries for each of the 19 options.
Whether overtime is included is determined by the market's settlement rules on the event page; check the event description and settlement policy on KALSHI for this specific market to confirm how overtime is handled.
Resolution follows KALSHI’s contingency and settlement policies for postponements/cancellations as described on the event page; depending on those rules the market may be voided or settled based on an official score within the platform’s stated timeframe.
Watch starting lineup confirmations, injury reports for each team’s top scorers and playmakers, any expected changes to rotation minutes, and late scratches — those items most directly affect total scoring expectations.
Use head-to-head and venue trends to inform baseline expectations, but prioritize recent team form, current rosters, and immediate news (injuries, rest, lineup changes), since short-term personnel and schedule factors typically drive single-game scoring more strongly.