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New Orleans at New York: Steals

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
19
Markets
21

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All Outcomes (21)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Trey Murphy III: 3+ 0%
$0 Trade →
Josh Hart: 1+ 0%
$0 Trade →
Trey Murphy III: 1+ 0%
$0 Trade →
OG Anunoby: 3+ 0%
$0 Trade →
OG Anunoby: 2+ 0%
$0 Resolved
Jalen Brunson: 1+ 0%
$0 Trade →
OG Anunoby: 1+ 0%
$0 Resolved
Zion Williamson: 2+ 0%
$0 Trade →
Jalen Brunson: 3+ 0%
$0 Trade →
Mikal Bridges: 2+ 0%
$0 Trade →
Zion Williamson: 1+ 0%
$0 Trade →
Karl-Anthony Towns: 1+ 0%
$0 Trade →
Trey Murphy III: 2+ 0%
$0 Trade →
Mikal Bridges: 3+ 0%
$0 Trade →
Karl-Anthony Towns: 3+ 0%
$0 Trade →
Karl-Anthony Towns: 2+ 0%
$0 Trade →
Zion Williamson: 3+ 0%
$0 Trade →
Mikal Bridges: 1+ 0%
$0 Trade →
Josh Hart: 2+ 0%
$0 Trade →
Jalen Brunson: 2+ 0%
$0 Trade →
Josh Hart: 3+ 0%
$0 Trade →

About This Market

This market asks how many steals will be recorded in the New Orleans at New York game; it matters to traders and fans because steals are a high-leverage defensive stat that can swing possessions and game momentum.

New Orleans and New York bring distinct defensive profiles, rotations, and primary ball-handlers, all of which shape how often possessions change via steals. Historical head-to-head tendencies, recent lineup moves, and travel or scheduling can shift expected steal totals for a given matchup.

Market prices represent the consensus expectation of the number or bucket of steals and update as new information (injuries, starting lineups, official tip time) becomes available. Use the market to track how real-time news alters collective expectations rather than as a fixed forecast.

Key Factors

Frequently Asked Questions

When will this New Orleans at New York: Steals market close and how is the settlement time determined?

The market closes at the lock time specified on the exchange for this event (listed as TBD on the event header); resolution is based on the final official box score after the game and any applicable postgame review by the exchange.

How does this market define and count a 'steal' for New Orleans at New York?

A 'steal' follows the official NBA/stat-provider definition: credited to a single defender who legally causes the opponent to lose possession; this market uses the same official box score totals used by the exchange for settlement.

Do steals recorded in overtime count toward the outcome of this specific market?

Unless the market rules state otherwise, steals in overtime are included because settlement uses the complete official box score; check the market rule notes if you need a definitive exception.

How will late scratches, injuries, or starting lineup changes for either New Orleans or New York affect this steals market?

Late lineup changes alter expected steal totals by changing defensive matchups and minutes for turnover-prone or steal-generating players; market prices typically move in response to verified injury and lineup news prior to lock.

There are 21 outcomes listed — what types of outcomes does that represent for this event?

The 21 outcomes correspond to discrete possible steal totals or buckets crafted by the exchange for this game; each outcome represents a specific reported total or range in the official box score, and the exact labels are visible on the market page.

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