| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Mikal Bridges: 3+ | 0% | 0¢ | 20¢ | — | $0 | Trade → |
| OG Anunoby: 3+ | 0% | 0¢ | 46¢ | — | $0 | Trade → |
| Mikal Bridges: 1+ | 0% | 71¢ | 75¢ | — | $0 | Trade → |
| Josh Hart: 1+ | 0% | 41¢ | 69¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 3+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| RJ Barrett: 3+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Josh Hart: 2+ | 0% | 4¢ | 38¢ | — | $0 | Trade → |
| Scottie Barnes: 1+ | 0% | 50¢ | 75¢ | — | $0 | Trade → |
| Immanuel Quickley: 1+ | 0% | 62¢ | 72¢ | — | $0 | Trade → |
| RJ Barrett: 1+ | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Josh Hart: 3+ | 0% | 0¢ | 17¢ | — | $0 | Trade → |
| OG Anunoby: 2+ | 0% | 40¢ | 44¢ | — | $0 | Trade → |
| Jalen Brunson: 1+ | 0% | 29¢ | 55¢ | — | $0 | Trade → |
| RJ Barrett: 2+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Immanuel Quickley: 3+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| OG Anunoby: 1+ | 0% | 72¢ | 77¢ | — | $0 | Trade → |
| Immanuel Quickley: 2+ | 0% | 27¢ | 36¢ | — | $0 | Trade → |
| Scottie Barnes: 3+ | 0% | 0¢ | 22¢ | — | $0 | Trade → |
| Scottie Barnes: 2+ | 0% | 14¢ | 43¢ | — | $0 | Trade → |
| Mikal Bridges: 2+ | 0% | 38¢ | 42¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 1+ | 0% | 37¢ | 60¢ | — | $0 | Trade → |
| Jalen Brunson: 3+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Jalen Brunson: 2+ | 0% | 0¢ | 23¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 2+ | 0% | 0¢ | 31¢ | — | $0 | Trade → |
This market asks how many steals will be recorded in the New York at Toronto game; it matters to traders and fans who want to express views on defensive intensity, ball security, and lineup impacts for this specific matchup.
New York and Toronto bring distinct defensive profiles, recent form, and roster availability that shape expected turnover and steal rates. Historical head-to-head trends, each team’s tendency to force or commit turnovers, and any recent changes to rotations or coaching emphasis provide useful context for this market.
Market prices represent the consensus view of participants about which steal-range outcomes are most likely and update as new information arrives; use those prices together with independent information about injuries, rotations, and in-game developments when forming a view.
The players who most influence this market are the primary on-ball defenders and playmaking guards/wings who log the most minutes; those starters and rotation players who create or force steals will move the market if they play or are scratched.
A late scratch for a player who typically generates steals usually reduces expected total steals; markets typically react quickly to official injury news and announced rotations, so monitor pregame reports for updates.
Whether overtime counts depends on the event’s settlement rules—check the market page for the rule applied to this specific market; if not specified there, the platform’s general settlement policy will state how overtime is treated.
Settlement is based on the official game statistics as reported by the league or the designated data provider specified in the market rules; consult the event’s settlement details on the platform for the exact source.
Close timing for this market is listed on the event page (currently TBD); because lineups and injury news arrive close to tip-off, plan to check the market close time and monitor pregame reports—prices can change rapidly in the hours and minutes before the game.