| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jalen Brunson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Brunson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Brunson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| OG Anunoby: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| OG Anunoby: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| OG Anunoby: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market focuses on the steals outcome for the New York at Oklahoma City game — a short-form way to trade on which side of the matchup generates more steals or on a specific steals threshold. It matters because steals are a high-leverage, game-moving statistic tied to turnovers, transition points, and defensive impact.
Steals totals and head-to-head steals outcomes are driven by matchup dynamics rather than season averages alone: pace of play, who handles the ball, defensive schemes and recent roster changes all shift the expectation for a single game. In a given matchup, the same teams can produce very different steals lines depending on starting lineups, injuries, and in-game adjustments.
Market prices reflect trader consensus about the likely steals outcome given available information; movements often incorporate late-breaking items like starting lineups, injuries, or reported tactical changes. Use the market as a realtime aggregator of that information rather than a static forecast.
A three-outcome steals market usually offers: New York records more steals, Oklahoma City records more steals, or both teams finish with the same number of steals. Always confirm the exact outcome labels on the event page.
Closure timing is set by the platform and often occurs shortly before game tip-off or at an announced time; check the event page for updates. Markets can also be set to close at game start or at a specific timestamp once organizers finalize scheduling.
Watch starting point guards and perimeter defenders who pressure ball-handlers, wings known for active hands and passing lanes, and any disruptive bench defenders. Late scratches or a change in who guards the opponent’s primary ball-handler are especially influential.
Coaches who emphasize aggressive on-ball defense, full-court pressure, or trapping schemes tend to generate more steal opportunities; conversely, conservative defensive strategies and short rotations (due to foul trouble or load management) can reduce steals.
Confirmations of starting lineups, injury reports, late scratches, announced minutes restrictions, early foul trouble to key defenders, and reported tactical adjustments (e.g., intent to press or slow the pace) are all high-value signals that should change your view.