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Orlando at Charlotte: Assists

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
35
Markets
35

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All Outcomes (35)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Paolo Banchero: 6+ 0%
$0 Trade →
Coby White: 4+ 0%
$0 Trade →
Jalen Suggs: 8+ 0%
$0 Trade →
Miles Bridges: 2+ 0%
$0 Trade →
Brandon Miller: 2+ 0%
$0 Trade →
Paolo Banchero: 4+ 0%
$0 Trade →
Coby White: 2+ 0%
$0 Trade →
Jalen Suggs: 10+ 0%
$0 Trade →
Jalen Suggs: 6+ 0%
$0 Trade →
Kon Knueppel: 2+ 0%
$0 Trade →
Coby White: 6+ 0%
$0 Trade →
Miles Bridges: 8+ 0%
$0 Trade →
Coby White: 10+ 0%
$0 Trade →
Kon Knueppel: 6+ 0%
$0 Trade →
Kon Knueppel: 3+ 0%
$0 Trade →
Paolo Banchero: 8+ 0%
$0 Trade →
LaMelo Ball: 6+ 0%
$0 Trade →
Miles Bridges: 6+ 0%
$0 Trade →
Brandon Miller: 8+ 0%
$0 Trade →
LaMelo Ball: 8+ 0%
$0 Trade →
Kon Knueppel: 8+ 0%
$0 Trade →
LaMelo Ball: 7+ 0%
$0 Trade →
Coby White: 8+ 0%
$0 Trade →
Jalen Suggs: 4+ 0%
$0 Trade →
Brandon Miller: 10+ 0%
$0 Trade →
Brandon Miller: 6+ 0%
$0 Trade →
Kon Knueppel: 4+ 0%
$0 Trade →
Miles Bridges: 3+ 0%
$0 Trade →
Miles Bridges: 4+ 0%
$0 Trade →
Paolo Banchero: 10+ 0%
$0 Trade →
Brandon Miller: 4+ 0%
$0 Trade →
Jalen Suggs: 2+ 0%
$0 Trade →
Paolo Banchero: 2+ 0%
$0 Trade →
LaMelo Ball: 10+ 0%
$0 Trade →
LaMelo Ball: 12+ 0%
$0 Trade →

About This Market

This market offers multiple outcomes on the total number of assists recorded in the Orlando at Charlotte game; it matters because assists reflect game tempo, playmaking distribution, and matchup dynamics that traders can price. The market lists 35 discrete outcomes and closes per the event page (closing time: TBD).

Orlando and Charlotte typically present contrasting playmaking profiles and pace, which can push assist totals up or down depending on rotations and game script. Recent form, roster changes, and scheduling (back-to-backs or travel) influence how both teams share the ball and create assist opportunities. Historical head-to-head patterns and each team's offensive system provide context but may shift quickly with injuries or lineup changes.

Market prices summarize trader expectations about total assists and update as new information arrives; use them as a real-time consensus signal rather than a prediction guarantee. Watch for sharp moves around injury reports, starting lineup announcements, and tip-off for the most meaningful price changes.

Key Factors

Frequently Asked Questions

Which game and time period does 'Orlando at Charlotte: Assists' cover?

It covers the official NBA game between Orlando and Charlotte as specified on the event page; check the event rules for the exact cutoff (some markets include overtime, others do not) and the posted tip-off time or settlement window.

How is an 'assist' defined for settlement in this market?

Assists are settled using the official box score or the designated data provider noted on the event page; generally an assist is the credited pass that directly leads to a made field goal as recorded by the official scorer.

Do assists recorded in overtime count toward this market?

Whether overtime is included depends on the market's specific settlement rules—consult the event description on the platform to confirm if overtime assists are counted for this market.

How do late lineup changes and injuries affect the assists outcomes?

Late changes can materially alter expected assist totals by removing or adding primary playmakers and changing usage patterns; traders commonly react quickly to injury reports and official starting lineup announcements before tip-off.

How should I use head-to-head and recent season assist trends when evaluating outcomes?

Use historical head-to-head and recent team-level assist rates to establish a baseline, but adjust for current rotations, pace, opponent defensive tendencies, and sample size—recent games and matchup context often provide the most relevant signal.

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