| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Donte DiVincenzo: 2+ | 45% | 0¢ | 47¢ | — | $29 | Trade → |
| Luka Dončić: 2+ | 47% | 47¢ | 51¢ | — | $5 | Trade → |
| Anthony Edwards: 1+ | 0% | 75¢ | 83¢ | — | $0 | Trade → |
| Marcus Smart: 2+ | 0% | 34¢ | 42¢ | — | $0 | Trade → |
| Anthony Edwards: 3+ | 0% | 9¢ | 24¢ | — | $0 | Trade → |
| Luka Dončić: 1+ | 0% | 80¢ | 88¢ | — | $0 | Trade → |
| Jaden McDaniels: 2+ | 0% | 32¢ | 37¢ | — | $0 | Trade → |
| Marcus Smart: 1+ | 0% | 0¢ | 78¢ | — | $0 | Trade → |
| Donte DiVincenzo: 1+ | 0% | 76¢ | 83¢ | — | $0 | Trade → |
| Anthony Edwards: 2+ | 0% | 44¢ | 49¢ | — | $0 | Trade → |
| Jaden McDaniels: 3+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| Jaden McDaniels: 1+ | 0% | 72¢ | 75¢ | — | $0 | Trade → |
| Luka Dončić: 3+ | 0% | 13¢ | 34¢ | — | $0 | Trade → |
| Donte DiVincenzo: 3+ | 0% | 8¢ | 26¢ | — | $0 | Trade → |
| Marcus Smart: 3+ | 0% | 0¢ | 24¢ | — | $0 | Trade → |
This market asks how many steals will be recorded in the Minnesota at Los Angeles L game; it matters to traders who want to express forecasts about in-game defensive activity and to bettors seeking exposure to a specific box-score outcome.
Steals are a play-by-play defensive statistic that reflect team pressure, individual anticipation, and opponent ball security. Season trends, team defensive schemes, and the availability of primary defenders or ball-handlers shape expected steal totals for a given matchup. Because sportsbook and market rules can vary, historical context is useful but the event’s specific rule text determines resolution.
Market prices represent the consensus view of participants about which steal-range or exact-steal outcome will occur; interpret prices as signals about market expectations and use them alongside game factors rather than as fixed forecasts.
The event’s title suggests a steals-related measure for the Minnesota at Los Angeles L game, but the exact definition (combined total versus single-team total) is set in the market description and rulebook on the trading platform; consult the event details to see whether outcomes refer to combined steals, Minnesota-only, or Los Angeles L-only totals.
Resolution timing is determined by the market’s resolution rules shown on the platform; many box-score markets resolve using the official final box score and include overtime unless the event text explicitly excludes it, so check the event page for the definitive rule.
The trading platform specifies the official data provider in the market rules (for example, the league’s official box score or a designated third-party provider); the market will resolve to the count recorded by that named source, so verify the listed provider in the event details.
Those events can materially change playing time and matchups and therefore the actual steals recorded, but they do not change resolution mechanics — the market pays based on the official recorded steals after the game, regardless of why playing-time patterns changed.
Outcomes for a steals market with many options often represent either exact-steal totals or contiguous ranges; read each outcome label to understand its span, then use qualitative factors (lineups, pace, turnover tendencies, injuries, and historical head-to-head data) to form an expectation and select the outcome that matches that expectation.