| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Kawhi Leonard: 2+ | 51% | 47¢ | 50¢ | — | $170 | Trade → |
| Mikal Bridges: 2+ | 36% | 33¢ | 36¢ | — | $51 | Trade → |
| Karl-Anthony Towns: 1+ | 62% | 61¢ | 63¢ | — | $25 | Trade → |
| Karl-Anthony Towns: 2+ | 32% | 5¢ | 30¢ | — | $3 | Trade → |
| Mikal Bridges: 1+ | 67% | 66¢ | 72¢ | — | $3 | Trade → |
| Jalen Brunson: 1+ | 0% | 42¢ | 58¢ | — | $0 | Trade → |
| OG Anunoby: 2+ | 0% | 42¢ | 49¢ | — | $0 | Trade → |
| Jalen Brunson: 2+ | 0% | 0¢ | 26¢ | — | $0 | Trade → |
| Josh Hart: 2+ | 0% | 10¢ | 35¢ | — | $0 | Trade → |
| Josh Hart: 3+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| OG Anunoby: 3+ | 0% | 0¢ | 24¢ | — | $0 | Trade → |
| Mikal Bridges: 3+ | 0% | 0¢ | 18¢ | — | $0 | Trade → |
| OG Anunoby: 1+ | 0% | 57¢ | 80¢ | — | $0 | Trade → |
| Jalen Brunson: 3+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Kawhi Leonard: 3+ | 0% | 15¢ | 24¢ | — | $0 | Trade → |
| Kawhi Leonard: 1+ | 0% | 73¢ | 79¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 3+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| Josh Hart: 1+ | 0% | 46¢ | 70¢ | — | $0 | Trade → |
This prediction market asks how many steals will occur in the New York at Los Angeles C game; it matters because steals are a common, game-changing defensive statistic that reflect pace and turnover pressure.
Steals in a single game are driven by team styles (aggressive on-ball defense vs. conservative schemes), matchup-specific tendencies, and the availability of key perimeter defenders and ball‑handlers. Historical matchups between these teams and recent trends in pace, turnover rates, and lineup usage can shift expectations ahead of tipoff.
Market prices aggregate traders' views about likely steal totals based on publicly available information; they update as new information (injuries, lineup changes, reported strategies) arrives and should be read as the market consensus at that moment.
The market close time is listed as TBD on the event page; trading usually closes shortly before the game's official start or at the time specified in the market rules, so check the market page for updates as game time approaches.
The 18 outcomes correspond to discrete steal counts or steal-count ranges for this specific game; the market description on the platform maps each outcome to a particular number or range of steals.
Whether overtime is included depends on the market’s settlement rules—some markets specify 'regulation only' while others include OT—so consult the event’s settlement rules on the market page to confirm.
Monitor the projected starting guards and any defensive specialists or high-minute bench defenders for both teams, plus the teams’ primary ball-handlers—late scratches or lineup changes among those players will have the largest impact on total steals.
Late injuries or coaching decisions that alter minutes for primary defenders or ball‑handlers typically move the market because they change the probability of steal opportunities; markets usually react quickly as news is reported, so follow in-game updates and official injury reports.