| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Utah over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 104.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 107.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 110.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 99.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on how many points Milwaukee and Utah will score in their matchup by buying discrete team-total outcomes. It matters because team totals focus on scoring expectations independent of the game winner, useful for views on offense, pace, and player availability.
Milwaukee and Utah are NBA franchises with differing offensive identities, rotations, and home-court factors; those elements shape typical team scoring. Markets with multiple outcomes (here, 18) break totals into granular thresholds so traders can express fine-grained beliefs about each team's point production. With the close time listed as TBD, relevant pregame developments can materially change market prices as tip-off approaches.
Odds and prices in this team-totals market reflect the aggregated views of traders about each team’s scoring; prices will shift as new information arrives (injury reports, starting lineups, rest). Use market prices as a real-time signal to compare against your own scoring projection rather than as a fixed prediction.
Close time is listed as TBD on the event page; markets of this type typically close before game tip-off. Settlement follows the platform’s published rules and official league box scores, so check KALSHI’s market rules for whether regulation-only or game-inclusive scoring is used.
The 18 outcomes break team scoring into multiple distinct thresholds or ranges for one or both teams, allowing traders to take granular positions on different possible scoring totals rather than a single over/under.
Watch official injury reports, starting lineup announcements, minutes guidance for primary scorers, back-to-back or rest-related rotations, and any late scratches or coach comments that signal rotation changes.
That depends on the specific market’s settlement rules. Some team-total markets use regulation scoring only while others include overtime—confirm the settlement convention on the event page or in KALSHI’s documentation.
Historical head-to-head trends can provide context about how matchups have played out, but roster changes, recent form, and current-season pace usually have greater relevance for a specific game—use history as one input among several.