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Houston at San Antonio: Rebounds

📊 $11K traded 🏦 Source: Kalshi
Total Volume
$11K
Open Interest
9,251
Active Markets
40
Markets
40

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

All Outcomes (40)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
De'Aaron Fox: 4+ 41%
39¢ 41¢ $2K Trade →
Victor Wembanyama: 11+ 57%
54¢ 57¢ $2K Trade →
Victor Wembanyama: 12+ 45%
44¢ 45¢ $1K Trade →
Alperen Sengun: 9+ 50%
47¢ 50¢ $1K Trade →
Tari Eason: 7+ 45%
44¢ 45¢ $984 Trade →
Stephon Castle: 4+ 64%
60¢ 64¢ $678 Trade →
Stephon Castle: 5+ 47%
44¢ 47¢ $500 Trade →
Victor Wembanyama: 10+ 70%
68¢ 69¢ $474 Trade →
Kevin Durant: 6+ 42%
40¢ 41¢ $421 Trade →
De'Aaron Fox: 6+ 11%
10¢ 12¢ $406 Trade →
Tari Eason: 8+ 34%
29¢ 33¢ $200 Trade →
Amen Thompson: 4+ 86%
86¢ 92¢ $179 Trade →
Jabari Smith Jr.: 7+ 47%
42¢ 47¢ $100 Trade →
Stephon Castle: 8+ 11%
10¢ 11¢ $100 Trade →
Amen Thompson: 8+ 48%
43¢ 44¢ $90 Trade →
Victor Wembanyama: 16+ 14%
11¢ 14¢ $72 Trade →
Alperen Sengun: 8+ 63%
58¢ 62¢ $61 Trade →
Amen Thompson: 6+ 74%
65¢ 73¢ $50 Trade →
Alperen Sengun: 6+ 85%
78¢ 84¢ $30 Trade →
Stephon Castle: 6+ 29%
28¢ 30¢ $20 Trade →
Victor Wembanyama: 14+ 26%
11¢ 27¢ $16 Trade →
Tari Eason: 6+ 60%
56¢ 59¢ $2 Trade →
Alperen Sengun: 12+ 23%
18¢ 21¢ $1 Trade →
Jabari Smith Jr.: 6+ 0%
56¢ 61¢ $0 Trade →
Kevin Durant: 4+ 0%
68¢ 74¢ $0 Trade →
Kevin Durant: 10+ 0%
$0 Trade →
Jabari Smith Jr.: 8+ 0%
29¢ 33¢ $0 Trade →
Kevin Durant: 8+ 0%
15¢ 16¢ $0 Trade →
Stephon Castle: 2+ 0%
85¢ 92¢ $0 Trade →
Amen Thompson: 12+ 0%
10¢ $0 Trade →
Kevin Durant: 2+ 0%
90¢ 98¢ $0 Trade →
De'Aaron Fox: 8+ 0%
$0 Trade →
Jabari Smith Jr.: 10+ 0%
12¢ 15¢ $0 Trade →
Alperen Sengun: 10+ 0%
36¢ 40¢ $0 Trade →
Tari Eason: 10+ 0%
11¢ 16¢ $0 Trade →
Amen Thompson: 10+ 0%
21¢ 25¢ $0 Trade →
De'Aaron Fox: 2+ 0%
75¢ 82¢ $0 Trade →
Tari Eason: 12+ 0%
$0 Trade →
Jabari Smith Jr.: 12+ 0%
$0 Trade →
De'Aaron Fox: 10+ 0%
$0 Trade →

About This Market

This market asks how rebounds will play out in the Houston at San Antonio game — it aggregates trader expectations about who and how many rebounds will be recorded. It matters because rebounding often swings possession and can be a decisive factor in single-game outcomes and prop markets.

Houston and San Antonio bring different roster constructions and strategic priorities that influence rebounding outcomes: one team may emphasize spacing and perimeter shooting while the other may emphasize interior defense and board control. Historical matchup patterns, recent roster moves, and coaching rotations all shape the rebounding dynamics for a given game.

Odds in this market represent the market’s consensus about which rebound-related outcome is most likely given current information, and they typically move as new information (injuries, starting lineups, rest) becomes available.

Key Factors

Frequently Asked Questions

What exactly does the 'Houston at San Antonio: Rebounds' market measure?

The market name indicates the market is about rebounds in the Houston at San Antonio game, but specific settlement definitions (team total, combined total, individual player ranges, inclusion of overtime) are set on the market page. Always check the market description and settlement rules to know which rebounds count.

When will this market close relative to the game tip-off?

This particular market shows 'Closes: TBD'; on many platforms similar markets close before tip-off, but some allow live betting or close at the official start. Verify the listed close time on the market page for the definitive rule.

How do last-minute lineup changes or injuries affect the market?

Late lineup changes and injuries can materially change expected rebound distributions because they alter who is on the floor and how minutes are allocated; markets typically react quickly when verified news is released, and final settlement follows the platform’s documented rules about official lineups.

Does the market include rebounds recorded in overtime?

Whether overtime rebounds count depends on the market’s settlement rules. Some markets explicitly include overtime, others specify regulation-only. Check the event’s settlement language to confirm.

How should I factor historical head-to-head rebounding trends between these teams?

Head-to-head history can reveal tendencies, but use it alongside context like current rosters, recent form, pace changes and small-sample variability. Trends are informative but may be outweighed by roster and situational changes for a single game.

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