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Brooklyn at Miami: Team Totals

📊 $108 traded 🏦 Source: Kalshi
Total Volume
$108
Open Interest
108
Active Markets
18
Markets
18

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

All Outcomes (18)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Miami over 118.5 points scored 59%
51¢ 57¢ $87 Trade →
Brooklyn over 106.5 points scored 53%
46¢ 54¢ $21 Trade →
Brooklyn over 94.5 points scored 0%
48¢ 100¢ $0 Trade →
Brooklyn over 103.5 points scored 0%
26¢ 92¢ $0 Trade →
Miami over 115.5 points scored 0%
26¢ 94¢ $0 Trade →
Miami over 124.5 points scored 0%
72¢ $0 Trade →
Miami over 112.5 points scored 0%
33¢ 98¢ $0 Trade →
Miami over 121.5 points scored 0%
79¢ $0 Trade →
Brooklyn over 97.5 points scored 0%
45¢ 98¢ $0 Trade →
Miami over 127.5 points scored 0%
53¢ $0 Trade →
Brooklyn over 100.5 points scored 0%
30¢ 98¢ $0 Trade →
Brooklyn over 112.5 points scored 0%
69¢ $0 Trade →
Brooklyn over 109.5 points scored 0%
77¢ $0 Trade →
Brooklyn over 118.5 points scored 0%
49¢ $0 Trade →
Miami over 109.5 points scored 0%
49¢ 100¢ $0 Trade →
Miami over 133.5 points scored 0%
47¢ $0 Trade →
Miami over 130.5 points scored 0%
49¢ $0 Trade →
Brooklyn over 115.5 points scored 0%
51¢ $0 Trade →

About This Market

This market lets traders buy and sell outcomes tied to the Brooklyn Nets' and Miami Heat's team scoring totals in the upcoming Brooklyn at Miami game. It matters because team-total markets isolate scoring expectations for one side, useful for hedging, portfolio diversification, or expressing a view on offense or defense without taking the full game spread.

Brooklyn at Miami is a matchup between two teams with contrasting styles: one typically emphasizes scoring creation while the other has recent history of strong defensive schemes and home-court advantage. Historical trends between the clubs, season-long pace and efficiency metrics, and coaching matchups all shape expectations for team totals. Market prices will be influenced by any late-breaking news that changes how those elements are likely to play out on game day.

Prices in this prediction market reflect the market consensus about how many points a given team will score relative to the listed thresholds; they update as new information arrives. Treat prices as a continuously updated aggregation of public information — not guarantees — and monitor them for movement after lineup or injury announcements.

Key Factors

Frequently Asked Questions

When will the Brooklyn at Miami: Team Totals market close?

The listed close is TBD; on Kalshi, markets for game outcomes commonly close before the game begins or at the platform-specified cutoff. Check the market page for the official close time and any last-minute updates.

How will a last-minute injury to a Brooklyn starter affect the team totals outcomes?

Late injuries change scoring expectations by removing a primary scoring option and often shifting usage to other players; market prices typically react quickly when the status is announced, so consider both the immediate lineup change and likely redistribution of shots and minutes.

How do head-to-head defensive matchups between Brooklyn and Miami influence the team total options?

Specific defensive matchups determine who is likely to get easier or tougher scoring opportunities (e.g., isolation vs. catch-and-shoot situations). Expect totals to move if matchups suggest a team will face heavier defensive pressure or favorable mismatches.

What impact do rest and scheduling (e.g., back-to-back) have on the team total markets for this game?

Players tend to produce lower counting stats on short rest, and coaches may reduce minutes for key scorers; markets incorporate these factors as soon as rest information is known, so verify each team’s schedule and recent minutes management.

There are 18 outcomes listed — how should I think about multiple team-total thresholds?

Multiple outcomes correspond to different scoring thresholds or ranges for a single team; they let traders express fine-grained views about how high or low a team’s score will be. Compare available thresholds, watch price movement after news, and pick the outcome(s) that best match your information edge or risk preference.

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