| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Amen Thompson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luka Dončić: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LeBron James: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LeBron James: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Amen Thompson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcus Smart: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcus Smart: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Amen Thompson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luka Dončić: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LeBron James: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luka Dončić: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcus Smart: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many steals the Los Angeles L will record in their upcoming game at Houston; it matters because steals reflect defensive disruption and can sway in-game outcomes and player prop payouts.
Steals are a standard defensive statistic in basketball that capture takeaways by a team or player; teams with active perimeter defense and quick rotations typically generate more steals. Historical matchup trends, season-long defensive metrics, and recent form all provide context for expected steal totals between these two clubs.
Market odds represent the crowd’s aggregated expectation for Los Angeles L’s steal total in this particular game and update as new information (injuries, lineups, news) becomes available; use them to compare against your own view or as a tool for hedging positions.
It measures the number of official steals credited to the Los Angeles L during that specific game at Houston, as recorded under the platform’s scoring rules.
The listed close time is TBD; platforms typically close trading shortly before the scheduled game tipoff—check the market page for the confirmed cutoff once it is posted.
Whether overtime counts depends on the contract specification for this market; consult the market rules or contract description on the event page to see if overtime is included.
Injuries to primary defenders or ballhandlers can materially change expected steals: losing an active on-ball defender usually lowers expected steals, while absence of a turnover-prone opponent can have a similar effect—monitor pregame injury reports and official lineups.
Look at recent steals per game for Los Angeles L, Houston’s turnover rate and ball-security metrics, head-to-head matchup history, projected minutes for key defenders, and game pace projections; combine these with any late news on rotations or coaching strategy.