| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cleveland over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas over 104.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas over 107.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas over 101.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas over 110.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas over 98.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 110.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cleveland over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market offers event-level outcomes tied to the Cleveland at Dallas team scoring totals, allowing traders to express views on how many points each team will score in the matchup. It matters because aggregate market prices can summarize collective expectations about team offensive performance and game conditions.
Team totals markets focus on points scored by one team rather than the overall game result, so they are sensitive to offensive efficiency, pace, and lineup availability. Historical head-to-head trends and each team’s recent scoring form provide useful context, but single-game factors such as injuries, rest, and coaching strategy can shift expectations. The market here lists multiple discrete outcomes (18 total) that map to different scoring thresholds or ranges for one or both teams.
In this context, market prices reflect how traders collectively view the likelihood of each team clearing specific scoring thresholds or falling into particular point ranges; they should be read as a consensus signal rather than a guarantee. Because prices change in real time, use them alongside your own research on matchup specifics and roster news.
Each outcome corresponds to a particular scoring threshold or range for one team’s total points in the game (for example, an outcome may indicate whether Cleveland exceeds a certain point total or falls within a defined range). The market aggregates belief about those scenarios.
The market close is listed as TBD; that means the official platform will announce the exact cutoff time. In practice, team totals markets typically close at or shortly before game start, so monitor the event page for updates or platform notifications.
Late injuries can materially change expected team scoring by removing or limiting primary scorers or playmakers; such news often triggers rapid price movement as traders update their views and rebalance positions ahead of market close.
Primary scorers, the starting point guard who controls possessions, and rotation changes that affect minutes distribution (such as bench scoring or defensive specialists) are the most influential. Coaching decisions about pace and substitution patterns also matter.
Use head-to-head scoring trends as one input—look for consistent patterns in pace, home/away splits, and how each team defended the other—but weigh them alongside current-season form, roster changes, and situational factors like rest or travel, since single-game outcomes can deviate from historical averages.