| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cooper Flagg: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cooper Flagg: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Cooper Flagg: 1+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| P.J. Washington: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| P.J. Washington: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| P.J. Washington: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the number of steals credited in the Dallas at Denver basketball game; it matters because steals are a key defensive stat that can swing short-term in-game prop markets and reflect matchup and lineup dynamics.
The event concerns a matchup between the Dallas and Denver franchises in the NBA; both teams' defensive styles, rotation patterns, and ball-handling responsibilities shape how many steals are likely in a single game. Historical tendencies (team pace, turnover rates, and who handles the ball) provide context but game-day lineups, injuries, and coaching strategy often drive the final total.
Market prices express the collective view of traders about the expected steals outcome and will move as new information (lineups, injuries, rest decisions) arrives; treat them as a real-time consensus signal, not an immutable forecast.
Whether overtime counts is determined by the event rules posted on the market page—some markets include overtime and others are regulation-only. The market page will state which applies; if it does include overtime, official statisticians' overtime steals are counted.
The market close time is displayed on the event page; if it is listed as TBD, follow the event page for updates. Many platforms close markets at or shortly before tip-off, but exact timing is set by the platform and shown on the market.
Primary ball-handlers (point guards) and the teams' active perimeter defenders have the largest influence, as do defensive specialists who play significant minutes. A surprise starter, reduced minutes for a key defender, or a late-night rotation change can materially shift expectations.
Higher pace increases possessions and steal chances; close games or garbage-time blowouts change substitution patterns and risk-taking (leading to more or fewer steals); foul trouble can remove key defenders or force lineup shifts that alter steal rates.
Settlement follows the platform's official rules: markets are typically settled using the league's official game statistics and according to the platform's policies for postponements or cancellations. If the game is not completed or if the platform has specific override rules, the event page and platform terms explain how refunds or settlements are handled.