| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Atlanta over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 104.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 107.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 130.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 101.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 98.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 110.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Atlanta over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express expectations about the team scoring totals for Milwaukee and Atlanta in their matchup, divided into multiple outcome buckets. Team-total markets are useful for isolating offensive performance from other bet types and for hedging based on projected scoring.
Milwaukee and Atlanta have distinct offensive identities and seasonal matchups that shape expectations for how many points each team will score. Historical head-to-head results, roster construction, and typical pace of play provide context, while short-term factors like injuries, rest, and coaching decisions drive near-term adjustments. Because this market is split into many outcomes, it captures fine-grained market views on scoring ranges rather than a single over/under line.
Market prices here represent the collective view of where each team's total is likely to land across the available outcome buckets; price movement signals how that view changes as new information arrives. Treat prices as indicators of consensus expectations and use them alongside your own analysis of matchups and news.
The 18 outcomes correspond to distinct scoring-range options or over/under buckets defined by the platform for one or both teams; inspect each outcome label on the event page to see which team and which scoring range it covers.
A confirmed absence of a primary scorer or playmaker typically reduces market demand for higher-scoring outcomes and increases demand for lower-scoring ones, as the team’s projected point production and usage distribution shift.
Consider opponent defensive strengths, matchup-specific tendencies (e.g., mismatches in the paint or from three-point range), and likely pace; stronger defensive fronts or slower expected pace generally push market expectations toward lower team-total outcomes.
The official close time is listed as TBD for this event; check the KALSHI event page for updates. Closing time matters because markets often tighten and become more sensitive to late news (lineups, injuries) as the game approaches.
Settlement is based on the game’s official final statistics as defined by the exchange; outcomes are finalized after the game concludes and the platform applies its settlement rules, including procedures for ties, cancellations, or statistical corrections—refer to KALSHI’s settlement policy for details.