| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jalen Green: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 16+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 14+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Green: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Stephon Castle: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how rebounds will be allocated or totaled in the NBA game between the Phoenix team and the San Antonio team. It matters because rebounds capture possession changes and can drive scoring opportunities and game flow, which bettors use to express expectations about how the boards will play out.
Phoenix and San Antonio bring different roster profiles, playing styles, and recent form that influence how many rebounds each side and individual players are likely to record. Historical matchups, frontcourt depth, injuries, and coaching strategies (pace, defensive schemes, offensive rebound emphasis) create context for assessing rebound outcomes. The market aggregates participants' views on those factors into tradable outcomes.
Odds in this market reflect the aggregation of market participants' expectations about rebounds as defined by the event rules; interpret them as the crowd’s consensus about which rebound ranges or player rebound outcomes are more widely expected. Since odds change in real time, use them to see how perceptions evolve with news (injuries, rotations, rest) rather than as fixed forecasts.
Close and resolution times are set by the platform; resolution typically occurs after the game concludes and the official box score is finalized by the league. Because this market’s close is listed as TBD, check the market page for the posted close time or updates from the platform before the game starts.
Rebounds counted are those recorded in the official NBA box score (offensive and defensive rebounds) as provided by the league’s official statistics provider. Overtime rebounds are included unless the market rules state otherwise; the platform uses the league’s final official stats for settlement.
The 20 outcomes typically represent distinct ranges or discrete thresholds for total rebounds (or specific player/team rebound buckets) so traders can express nuanced views across a spectrum of possible rebound totals. Each outcome corresponds to a particular rebound range or condition as defined on the market page.
Look at recent minutes, coach comments, and lineup patterns; a key rebounder getting fewer minutes or a promising bench big getting more time materially changes expected rebound distribution. Late scratches or role changes announced before tipoff are especially impactful.
Relevant trends include recent head-to-head rebounding margins, each team’s offensive and defensive rebound rates over the past several games, and any recurring matchup quirks (e.g., one team consistently outrebounding the other when a particular center plays). Also consider recent injury histories and whether either team has altered its rebounding emphasis under a new coach or tactical tweak.