| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Paolo Banchero: 2+ | 47% | 1¢ | 47¢ | — | $10 | Trade → |
| Evan Mobley: 2+ | 50% | 1¢ | 50¢ | — | $10 | Trade → |
| Jalen Suggs: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Paolo Banchero: 1+ | 0% | 29¢ | 81¢ | — | $0 | Trade → |
| James Harden: 3+ | 0% | 1¢ | 37¢ | — | $0 | Trade → |
| James Harden: 1+ | 0% | 39¢ | 92¢ | — | $0 | Trade → |
| Dennis Schröder: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Dennis Schröder: 3+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Donovan Mitchell: 2+ | 0% | 25¢ | 77¢ | — | $0 | Trade → |
| Evan Mobley: 1+ | 0% | 33¢ | 85¢ | — | $0 | Trade → |
| Donovan Mitchell: 1+ | 0% | 57¢ | 98¢ | — | $0 | Trade → |
| Donovan Mitchell: 3+ | 0% | 1¢ | 51¢ | — | $0 | Trade → |
| Dennis Schröder: 1+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Evan Mobley: 3+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Jalen Suggs: 3+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| James Harden: 2+ | 0% | 2¢ | 54¢ | — | $0 | Trade → |
| Jalen Suggs: 1+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Paolo Banchero: 3+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
This market focuses on steals-related outcomes in the NBA game between Cleveland and Orlando; steals are a high-leverage stat that can change possession dynamics and influence in-game momentum and payouts.
Cleveland and Orlando bring different defensive tendencies and personnel to each matchup; coaching emphasis, roster availability, and recent form all shape how aggressively each team pursues steals. Game context — such as back-to-back scheduling, travel, or lineup changes — also alters how the teams defend ball handlers and contest passing lanes.
Market prices reflect traders’ aggregated expectations about the steals outcome and will move as new information arrives (injuries, starting lineups, tip time). Use the real-time market to see how expectations shift, but know that final settlement follows the game’s official stat source.
The event lists 18 distinct outcomes; each outcome corresponds to a defined steals-related range or discrete result (such as team or game totals). See the event page on KALSHI for the precise wording and settlement rules for each listed outcome.
The event page indicates the market close time; if it is listed as TBD, check back for an updated close before game day. Final settlement uses the league’s official box score and statistical provider, so outcomes resolve only after the official stats are published.
Key movers include announced starting lineups, injury reports, late scratches, coaching confirmations of rotations, and official minute-management or rest news—each can materially change expectations for who will defend and handle the ball.
Live developments such as ejections, unexpected foul trouble, sudden lineup changes, or shifts in tempo can prompt rapid price movement because they change available defenders and possession patterns that drive steals.
Head-to-head history can provide context for matchup tendencies, but recent form, current rosters, and the specific players on court that night are typically more predictive than distant past meetings.