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Golden State at Atlanta: Steals

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
12
Markets
12

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Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (12)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Nickeil Alexander-Walker: 2+ 0%
$0 Trade →
Draymond Green: 2+ 0%
$0 Trade →
Draymond Green: 1+ 0%
$0 Trade →
Dyson Daniels: 2+ 0%
$0 Trade →
Dyson Daniels: 3+ 0%
$0 Trade →
Jalen Johnson: 2+ 0%
$0 Trade →
Dyson Daniels: 1+ 0%
$0 Trade →
Jalen Johnson: 1+ 0%
$0 Trade →
Draymond Green: 3+ 0%
$0 Trade →
Jalen Johnson: 3+ 0%
$0 Trade →
Nickeil Alexander-Walker: 1+ 0%
$0 Trade →
Nickeil Alexander-Walker: 3+ 0%
$0 Trade →

About This Market

This market settles on steals recorded in the Golden State at Atlanta game; it matters because steals are a high-variance, game-level microstat that can swing short-term momentum and affect in-game strategy and wagers.

Team style, pace, and matchup history influence expected steal totals: faster-paced games create more possession opportunities while defensive schemes or aggressive perimeter defenders create more steal chances. Roster and rotation decisions for the night (starting guards, defensive specialists, and minutes for bench defenders) are the immediate context that drives outcomes.

Market prices represent traders' aggregated expectations about which discrete steals outcome will match the official box score; they update as new information (injuries, lineups, in-game developments) becomes available and are not guarantees of a result.

Key Factors

Frequently Asked Questions

What exactly counts as a 'steal' for settlement of Golden State at Atlanta: Steals?

Settlement uses the official steal entries recorded in the league's official box score/play-by-play for that game; any steal must be credited in that official record to count.

When will this market close and when will it settle?

The market close time is shown on the platform (currently TBD); settlement typically occurs after the official final box score is published and any league stat corrections are applied according to the platform's settlement rules.

Which players or lineup factors most influence the steals outcome in this specific matchup?

Primary influences are whoever is defending the ball most (starting guards/wing defenders), defensive specialists who play significant minutes, and any matchup-driven role changes; check the announced starters and projected minutes on game day to identify the highest-impact players.

How do late scratches or rotation changes affect the market for this steals event?

Late scratches and rotation shifts can change steal expectations quickly because they alter defensive matchups and minutes; traders often react to injury reports and confirmed starting lineups right before tip-off.

After the game, how do I confirm which of the 12 outcomes won?

Compare the official steals totals (from the league's final box score) to the outcome definitions listed on the market page; the outcome whose criteria match the official stat will be designated the winner when the platform settles.

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