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Orlando at Minnesota: Assists

📊 $1 traded 🏦 Source: Kalshi
Total Volume
$1
Open Interest
1
Active Markets
35
Markets
35

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

All Outcomes (35)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Anthony Black: 4+ 49%
49¢ $1 Trade →
Jaden McDaniels: 3+ 0%
51¢ $0 Trade →
Jalen Suggs: 6+ 0%
42¢ 48¢ $0 Trade →
Jalen Suggs: 10+ 0%
99¢ $0 Trade →
Donte DiVincenzo: 5+ 0%
39¢ 45¢ $0 Trade →
Julius Randle: 5+ 0%
46¢ 53¢ $0 Trade →
Anthony Edwards: 4+ 0%
51¢ 57¢ $0 Trade →
Donte DiVincenzo: 4+ 0%
60¢ $0 Trade →
Paolo Banchero: 6+ 0%
99¢ $0 Trade →
Donte DiVincenzo: 6+ 0%
99¢ $0 Trade →
Paolo Banchero: 8+ 0%
99¢ $0 Trade →
Paolo Banchero: 4+ 0%
99¢ $0 Trade →
Paolo Banchero: 2+ 0%
99¢ $0 Trade →
Jalen Suggs: 8+ 0%
99¢ $0 Trade →
Jalen Suggs: 2+ 0%
99¢ $0 Trade →
Jalen Suggs: 4+ 0%
99¢ $0 Trade →
Anthony Black: 8+ 0%
99¢ $0 Trade →
Anthony Black: 6+ 0%
99¢ $0 Trade →
Anthony Black: 10+ 0%
99¢ $0 Trade →
Anthony Black: 2+ 0%
99¢ $0 Trade →
Julius Randle: 8+ 0%
99¢ $0 Trade →
Julius Randle: 6+ 0%
99¢ $0 Trade →
Julius Randle: 4+ 0%
99¢ $0 Trade →
Jaden McDaniels: 8+ 0%
99¢ $0 Trade →
Julius Randle: 2+ 0%
99¢ $0 Trade →
Jaden McDaniels: 6+ 0%
99¢ $0 Trade →
Jaden McDaniels: 4+ 0%
99¢ $0 Trade →
Donte DiVincenzo: 8+ 0%
99¢ $0 Trade →
Jaden McDaniels: 2+ 0%
99¢ $0 Trade →
Donte DiVincenzo: 2+ 0%
99¢ $0 Trade →
Anthony Edwards: 8+ 0%
99¢ $0 Trade →
Anthony Edwards: 6+ 0%
99¢ $0 Trade →
Anthony Edwards: 2+ 0%
99¢ $0 Trade →
Anthony Edwards: 10+ 0%
99¢ $0 Trade →
Paolo Banchero: 5+ 0%
54¢ 61¢ $0 Trade →

About This Market

This market lists outcomes tied to assists in the Orlando at Minnesota basketball game on KALSHI. It matters because assists are a direct measure of team playmaking and game flow, and they respond quickly to lineup and injury news.

Assist totals for a specific game reflect the interaction of roster availability, coaching style, and pace rather than season averages alone. Orlando and Minnesota each have roster and stylistic variables (primary ball-handlers, coaching tendencies, bench usage) that make a single-game assists market sensitive to late-breaking news. Because the market closes relative to the game and resolves to the official box score, short-term signals like starting lineups and in-game rotations drive most price movement.

Market prices are a real-time consensus about which assist outcome is expected to occur; they update as new information arrives (injuries, starting lineups, rest). Use them as a signal alongside independent checks of the official box score source, injury reports, and pace/usage projections.

Key Factors

Frequently Asked Questions

What exactly does the 'Orlando at Minnesota: Assists' market measure for this event?

The market measures the assists quantity specified in its description on KALSHI for the Orlando at Minnesota matchup—this can be a team total, combined total, or a bucketed range; check the market's full description to see which assists metric is being traded.

How and when will this market resolve after the Orlando at Minnesota game?

Resolution will be based on the official NBA box score statistic for assists for the game and any official corrections, following KALSHI's settlement rules; the market settles once the platform confirms the final official statistic.

Which players and matchups should I watch that most influence assist-related outcomes in this specific game?

Watch the starting point guards and primary ball-dominant players on both teams, any playmaking bigs who handle the ball in pick-and-rolls, and matchup defenders who disrupt passing lanes; pregame announced starters and minutes projections are especially informative.

How do projected pace and likely rotations for Orlando and Minnesota change the set of viable outcomes in this multi-outcome market?

Higher projected pace and longer minutes for primary playmakers increase the range of assist totals that are realistic, while shortened rotations or a slower pace compress assist opportunities—monitor coach comments, back-to-back status, and recent substitution patterns for clues.

What historical or recent-team trends between Orlando and Minnesota are useful context when evaluating this assists market?

Look at recent head-to-head meetings and each team's recent stretch of games to see whether they have been generating assists via ball movement or relying on isolation scoring; also compare home/away assist splits and last several games of each primary playmaker to identify durable trends.

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