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Toronto at New Orleans: Steals

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
15
Markets
15

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

All Outcomes (15)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Immanuel Quickley: 3+ 0%
97¢ $0 Trade →
Scottie Barnes: 2+ 0%
24¢ 44¢ $0 Trade →
Trey Murphy III: 1+ 0%
52¢ 98¢ $0 Trade →
Scottie Barnes: 3+ 0%
44¢ $0 Trade →
Zion Williamson: 2+ 0%
56¢ $0 Trade →
Trey Murphy III: 2+ 0%
16¢ 49¢ $0 Trade →
Trey Murphy III: 3+ 0%
45¢ $0 Trade →
Zion Williamson: 1+ 0%
41¢ 93¢ $0 Trade →
Immanuel Quickley: 1+ 0%
99¢ $0 Trade →
RJ Barrett: 3+ 0%
97¢ $0 Trade →
Immanuel Quickley: 2+ 0%
98¢ $0 Trade →
Zion Williamson: 3+ 0%
38¢ $0 Trade →
RJ Barrett: 1+ 0%
99¢ $0 Trade →
RJ Barrett: 2+ 0%
98¢ $0 Trade →
Scottie Barnes: 1+ 0%
49¢ 98¢ $0 Trade →

About This Market

This market lets traders bet on the distribution of steals in the NBA game Toronto at New Orleans; it matters for bettors and analysts interested in defensive performance and game flow.

The market is built around a single regular-season or postseason matchup between the Toronto and New Orleans franchises and breaks the steals outcome into multiple discrete options. Historical context to consider includes both teams' recent defensive styles, pace of play, and turnover tendencies, which influence how many steal events typically occur in their meetings.

Prediction market prices reflect traders' aggregated views about which specific steal outcome (individual player, team, or total ranges, as listed) is most likely; use prices as a real-time sentiment indicator rather than a fixed forecast.

Key Factors

Frequently Asked Questions

What exactly do the 15 outcomes represent for Toronto at New Orleans: Steals?

The 15 outcomes correspond to the discrete steal-related options listed on the market page — typically ranges or specific totals for team steals, combined steals, or individual player steal thresholds; consult the market's outcome list for the exact mapping.

When does this market close and accept final trades?

The market's close time is listed on the event page as TBD; traders should monitor the event page for an official close timestamp and any updates from the platform.

Does this steals market include steals recorded in overtime or only regulation?

Whether overtime counts depends on the market's rules; check the market terms on the event page for the official scoring convention used for this listing.

How do last-minute lineup changes or injury reports affect this specific steals market?

Late changes can materially alter expected steal dynamics because they affect which defenders and ball-handlers are on court; market prices typically adjust quickly after public lineup or injury announcements.

Which team- or player-level stats from recent games are most useful to assess this event?

Useful inputs include recent steals per game for both teams and their primary defenders, opponent turnover rates, minutes played by defensive specialists, and game tempo metrics for each side in recent matchups.

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