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Houston at Minnesota: Rebounds

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
32
Markets
45

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All Outcomes (45)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Jaden McDaniels: 6+ 0%
$0 Trade →
Jaden McDaniels: 4+ 0%
$0 Trade →
Alperen Sengun: 10+ 0%
$0 Trade →
Rudy Gobert: 14+ 0%
$0 Trade →
Tari Eason: 8+ 0%
$0 Trade →
Amen Thompson: 4+ 0%
$0 Resolved
Rudy Gobert: 12+ 0%
$0 Resolved
Tari Eason: 4+ 0%
$0 Resolved
Jabari Smith Jr.: 7+ 0%
$0 Resolved
Donte DiVincenzo: 8+ 0%
$0 Trade →
Kevin Durant: 4+ 0%
$0 Trade →
Donte DiVincenzo: 10+ 0%
$0 Trade →
Jaden McDaniels: 8+ 0%
$0 Trade →
Julius Randle: 6+ 0%
$0 Trade →
Alperen Sengun: 14+ 0%
$0 Trade →
Amen Thompson: 8+ 0%
$0 Trade →
Donte DiVincenzo: 6+ 0%
$0 Trade →
Amen Thompson: 6+ 0%
$0 Resolved
Jabari Smith Jr.: 8+ 0%
$0 Resolved
Tari Eason: 6+ 0%
$0 Resolved
Kevin Durant: 6+ 0%
$0 Trade →
Julius Randle: 8+ 0%
$0 Trade →
Julius Randle: 10+ 0%
$0 Trade →
Jaden McDaniels: 10+ 0%
$0 Trade →
Jabari Smith Jr.: 12+ 0%
$0 Trade →
Kevin Durant: 10+ 0%
$0 Trade →
Tari Eason: 2+ 0%
$0 Resolved
Rudy Gobert: 10+ 0%
$0 Resolved
Jabari Smith Jr.: 10+ 0%
$0 Trade →
Rudy Gobert: 16+ 0%
$0 Trade →
Jabari Smith Jr.: 6+ 0%
$0 Resolved
Rudy Gobert: 8+ 0%
$0 Resolved
Kevin Durant: 2+ 0%
$0 Resolved
Julius Randle: 7+ 0%
$0 Trade →
Alperen Sengun: 8+ 0%
$0 Trade →
Kevin Durant: 8+ 0%
$0 Trade →
Julius Randle: 12+ 0%
$0 Trade →
Amen Thompson: 10+ 0%
$0 Trade →
Donte DiVincenzo: 2+ 0%
$0 Trade →
Donte DiVincenzo: 4+ 0%
$0 Trade →
Tari Eason: 5+ 0%
$0 Resolved
Jaden McDaniels: 2+ 0%
$0 Trade →
Alperen Sengun: 6+ 0%
$0 Trade →
Amen Thompson: 12+ 0%
$0 Trade →
Alperen Sengun: 12+ 0%
$0 Trade →

About This Market

This market lets traders buy and sell outcomes tied to rebound totals for the Houston at Minnesota game; it matters because rebound distribution affects possession, second-chance scoring, and many in-game player and team prop markets.

The matchup will be shaped by each team's frontcourt personnel, pace of play, and recent roster availability; those factors determine which players and units are most likely to secure rebounds. Historical head-to-head numbers and each team's season-long offensive and defensive rebounding tendencies provide context, but late scratches, minutes changes, and coaching matchups often drive last-minute shifts.

Market prices are dynamic signals reflecting the trading community’s consensus about which rebound outcomes are most likely; interpret price movement as new information being incorporated (injuries, rotations, lineup announcements) rather than definitive forecasts.

Key Factors

Frequently Asked Questions

What do the 25 outcomes in the Houston at Minnesota: Rebounds market represent?

The 25 outcomes correspond to discrete rebound-result scenarios defined by the market organizer (commonly exact totals or bucketed ranges for a player or team); consult the market description on the platform to see the exact mapping for this event.

When will trading for this Houston at Minnesota: Rebounds market close?

The market’s close time is listed on the event page and is currently marked TBD; in similar markets the close typically occurs at or just before tip-off, so monitor the market page for the final closing timestamp.

How should I use pregame injury and lineup news when assessing this rebounds market?

Treat injury reports and confirmed starting lineups as high-value signals: loss of a primary rebounder or a reduced-minute starter materially alters which outcomes are plausible, so update your view as official reports and coach confirmations emerge.

Does recent head-to-head rebounding between Houston and Minnesota meaningfully inform this market?

Head-to-head history can indicate matchup tendencies, but its relevance depends on roster continuity and current playing styles; use recent meetings as one input alongside current season rebounding rates, roster changes, and pace metrics.

How do bench rotations and coaching decisions affect which rebound outcomes are likely?

Bench frontcourt minutes and coaching substitutions can shift rebound opportunities away from primary starters to role players; late-game strategy (e.g., small-ball lineups or intentional fouling) also changes rebound dynamics, so track expected minutes and coach tendencies.

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