| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Donte DiVincenzo: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Edwards: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaden McDaniels: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaden McDaniels: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Edwards: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donte DiVincenzo: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Edwards: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaden McDaniels: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donte DiVincenzo: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market covers steals-related outcomes for the Minnesota at Golden State game; it matters for traders who want to take positions on defensive playmaking events during that specific matchup.
Golden State and Minnesota bring contrasting offensive and defensive styles that influence steal opportunities: Golden State often creates turnovers through active perimeter defense and passing lanes, while Minnesota's ball handlers and lineup rotations shape how vulnerable they are to steals. Game-level factors such as injuries, rotations, and schedule (back-to-backs) can shift expected steal totals for either team.
Market prices reflect collective expectations about which steals-related outcome will occur and will update as new information arrives; treat prices as real-time market sentiment rather than guarantees of a final result.
The market settles to the official NBA box score stat credited as a steal by the league; the event follows the NBA's official scoring and any subsequent league corrections.
The market's close time is listed as TBD on the event page; platforms typically stop trading shortly before tip-off, so check the market page for the final announced close time and any last-minute updates.
Late scratches and lineup shifts can materially change expected steal distributions because replacements alter defensive capability and minutes; markets generally react quickly when those updates are announced.
Outcome definitions are provided on the market page; markets with multiple outcomes often include team totals, individual player totals, or discrete ranges for total steals across the game—confirm which specific outcome corresponds to the prop you are trading.
Head-to-head history can offer context about matchup tendencies and specific player matchups, but small sample sizes and roster changes mean recent season form, current rotations, and injury status are typically more informative for this single-game steals market.