| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Kevin Durant: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Draymond Green: 6+ | 0% | 39¢ | 54¢ | — | $0 | Trade → |
| Al Horford: 6+ | 0% | 46¢ | 62¢ | — | $0 | Trade → |
| Alperen Sengun: 10+ | 0% | 38¢ | 53¢ | — | $0 | Trade → |
| Amen Thompson: 8+ | 0% | 41¢ | 56¢ | — | $0 | Trade → |
| Kevin Durant: 6+ | 0% | 42¢ | 58¢ | — | $0 | Trade → |
| Alperen Sengun: 6+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Draymond Green: 8+ | 0% | 1¢ | 30¢ | — | $0 | Trade → |
| Al Horford: 10+ | 0% | 1¢ | 63¢ | — | $0 | Trade → |
| Amen Thompson: 12+ | 0% | 1¢ | 57¢ | — | $0 | Trade → |
| Amen Thompson: 6+ | 0% | 1¢ | 96¢ | — | $0 | Trade → |
| Kevin Durant: 8+ | 0% | 1¢ | 60¢ | — | $0 | Trade → |
| Alperen Sengun: 12+ | 0% | 1¢ | 55¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 10+ | 0% | 1¢ | 94¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 8+ | 0% | 1¢ | 95¢ | — | $0 | Trade → |
| Al Horford: 4+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Amen Thompson: 10+ | 0% | 1¢ | 58¢ | — | $0 | Trade → |
| Alperen Sengun: 8+ | 0% | 1¢ | 96¢ | — | $0 | Trade → |
| Draymond Green: 4+ | 0% | 1¢ | 83¢ | — | $0 | Trade → |
| Draymond Green: 10+ | 0% | 1¢ | 17¢ | — | $0 | Trade → |
| Draymond Green: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 12+ | 0% | 1¢ | 93¢ | — | $0 | Trade → |
| Al Horford: 8+ | 0% | 1¢ | 64¢ | — | $0 | Trade → |
| Al Horford: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Amen Thompson: 4+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Kevin Durant: 10+ | 0% | 1¢ | 59¢ | — | $0 | Trade → |
| Kevin Durant: 4+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Alperen Sengun: 14+ | 0% | 1¢ | 54¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 7+ | 0% | 2¢ | 96¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 6+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
This market concerns how rebounds will be distributed or totaled in the NBA game Golden State at Houston; it matters because rebounds often determine possession swings and can strongly influence the final result. Traders use these markets to express views about matchup, pace, and personnel that affect rebounding.
Golden State and Houston have contrasting roster constructions and recent histories that influence rebounding dynamics: one team may feature smaller, perimeter-oriented lineups and the other may use larger frontcourt minutes or emphasize offensive rebounding. Seasonal changes in coaching strategy, roster moves, and injury status can shift how these teams compete on the glass from game to game.
Market prices reflect the crowd’s aggregated expectations about the rebound outcome as defined by the specific contract; interpret them as real-time consensus signals about likely game conditions and available information. Always check the market’s resolution rules and official data source (typically the NBA box score) to understand what exact statistic determines payout.
The market resolves to the specific rebound outcome(s) defined in the contract using the official NBA box score for the Golden State at Houston game; consult the market description on the platform for whether it is team rebounds, combined rebounds, or player-specific totals and which official source and cutoff rules apply.
The event close time is currently listed as TBD; typically these markets close before tip-off and are settled after the official box score is published, but check the platform’s market page for the exact close time and settlement policy.
Focus on projected starters at center and power forward, their likely minutes, and any backup bigs who receive heavy rotation; when primary bigs are limited, guards and wings often pick up extra rebound share, so watch expected minute distributions across positions.
Late injuries or rotation changes can materially shift expected rebound distributions and often cause rapid price movement; traders should track official injury reports, final starting lineups, and coach pregame comments for immediate impact.
Look at recent head-to-head games for tendencies in pace and which team secured more offensive rebounds, plus season-long team rebounding rates and how each team performed on the glass against similar lineup styles; combine that with current-season lineup usage to form a view.