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Boston at San Antonio: Rebounds

📊 $5K traded 🏦 Source: Kalshi
Total Volume
$5K
Open Interest
4,718
Active Markets
30
Markets
30

Trade This Market

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Yes Ask
Last Price
Prev Close
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Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (30)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Stephon Castle: 5+ 45%
43¢ 47¢ $1K Trade →
Jaylen Brown: 7+ 53%
50¢ 53¢ $775 Trade →
Victor Wembanyama: 11+ 54%
52¢ 55¢ $609 Trade →
Jayson Tatum: 7+ 50%
48¢ 51¢ $505 Trade →
Victor Wembanyama: 12+ 44%
43¢ 44¢ $286 Trade →
Jaylen Brown: 8+ 38%
36¢ 38¢ $268 Trade →
Victor Wembanyama: 10+ 67%
63¢ 67¢ $264 Trade →
Jayson Tatum: 6+ 63%
61¢ 64¢ $155 Trade →
Victor Wembanyama: 14+ 25%
25¢ $99 Trade →
De'Aaron Fox: 4+ 40%
38¢ 39¢ $95 Trade →
Stephon Castle: 4+ 58%
59¢ 63¢ $51 Trade →
Jayson Tatum: 10+ 19%
15¢ 20¢ $49 Trade →
Jaylen Brown: 6+ 65%
64¢ 65¢ $44 Trade →
Jayson Tatum: 8+ 40%
35¢ 40¢ $30 Trade →
De'Aaron Fox: 3+ 60%
59¢ 60¢ $18 Trade →
Neemias Queta: 10+ 44%
42¢ 44¢ $1 Trade →
Jaylen Brown: 12+ 0%
$0 Trade →
Neemias Queta: 14+ 0%
10¢ 12¢ $0 Trade →
Stephon Castle: 2+ 0%
86¢ 93¢ $0 Trade →
Victor Wembanyama: 16+ 0%
13¢ $0 Trade →
Stephon Castle: 8+ 0%
10¢ 11¢ $0 Trade →
Neemias Queta: 8+ 0%
68¢ $0 Trade →
Jaylen Brown: 10+ 0%
16¢ 20¢ $0 Trade →
De'Aaron Fox: 2+ 0%
77¢ 83¢ $0 Trade →
Jayson Tatum: 12+ 0%
$0 Trade →
Neemias Queta: 12+ 0%
26¢ $0 Trade →
Stephon Castle: 6+ 0%
27¢ 30¢ $0 Trade →
De'Aaron Fox: 8+ 0%
$0 Trade →
De'Aaron Fox: 6+ 0%
11¢ 12¢ $0 Trade →
Neemias Queta: 6+ 0%
87¢ $0 Trade →

About This Market

This prediction market asks how rebounds will play out in the Boston at San Antonio game; it matters because rebound totals reflect possession opportunities, pace, and matchup advantages that can swing game outcomes and prop bets.

The market sits over a single NBA matchup between Boston and San Antonio and presents a range of possible rebound outcomes that traders can buy or sell. Historical context — team styles, roster construction, and recent form — shapes expectations: Boston typically relies on its frontcourt and team rebounding, while San Antonio’s rebound profile can shift with rotation and young-big minutes.

Market prices reflect the collective assessment of which rebound outcome is most likely given current information; prices update as new info (injuries, lineups, tempo changes) becomes available and should be checked close to game time.

Key Factors

Frequently Asked Questions

What exactly does the 'Boston at San Antonio: Rebounds' market measure for this event?

Check the market description on the trading platform for the precise definition; typically the market will specify whether outcomes refer to combined team rebounds, individual player rebounds, or team-specific totals for the Boston vs San Antonio game.

When does this specific market close relative to the scheduled game?

The event page lists the close time as TBD; on KALSHI and similar platforms sports markets commonly close at or just before tip-off, but you should verify the listed close time on the market page since it can vary.

Which Boston players should I watch because they most influence the rebounds outcome in this matchup?

Boston’s primary influence will come from its starting frontcourt and lead rebounders in the rotation; monitor the active roster and any late scratches or lineup changes to see which bigs and high-minute forwards are expected to play.

How do late injuries or lineup changes for either team affect the available outcomes in this market?

Late injuries or lineup changes can materially shift rebound expectations by altering who plays and how many minutes they get; such news often moves market prices quickly, so monitor injury reports and announced lineups before trading.

What historical or situational data should I use to inform trades on this rebounds market?

Use recent game rebound rates for both teams, head-to-head rebounding tendencies if available, each team’s offensive/defensive rebound percentages, current pace, and recent minute allocations — and weigh that against any new information (injuries, rest, travel) that could change those patterns.

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