| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Milwaukee over 100.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 110.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 103.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 97.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 107.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Milwaukee over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to predict team scoring outcomes for the Cleveland at Milwaukee game; it matters because market prices synthesize public expectations about each team’s likely point production and game pace.
Cleveland and Milwaukee are two professional basketball teams whose matchup outcomes depend on roster construction, coaching approaches, and situational context such as home court. Historical matchups, season-long offensive and defensive profiles, and recent form can all influence expected team totals. The market aggregates those signals into tradable outcomes.
Market prices represent the crowd’s consensus about which scoring outcome is most likely; compare those prices to your independent assessment to identify potential value while accounting for liquidity and time until market close.
The 18 discrete outcomes correspond to mutually exclusive scoring outcomes defined by the market creator (for example, specific point thresholds or ranges for one or both teams). Consult the market description on KALSHI for the exact wording and resolution criteria for each outcome.
The event page currently shows the close time as TBD; KALSHI will publish a final close time before trading begins or prior to the game start. Check the event page for updates and the platform’s announcements for any changes.
Whether overtime counts is determined by the market’s resolution rules. Always read the event-specific rules on KALSHI to see if totals are based on regulation time only or include overtime; the platform’s resolution notes override general assumptions.
Late injury reports can materially change expected team totals and typically cause rapid price movement; incorporate official injury updates and expected minute changes into your assessment and be mindful that prices may adjust quickly as new information arrives before market close.
Head-to-head history can provide context but should be weighted by recency, roster continuity, venue, and coaching changes. Use it alongside broader indicators like current offensive/defensive ratings, pace, and player availability rather than as the sole basis for a trade.