| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jarace Walker: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jarace Walker: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Nesmith: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Nesmith: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jarace Walker: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jarace Walker: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Nesmith: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 14+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Nesmith: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| De'Aaron Fox: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Nesmith: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Victor Wembanyama: 16+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jarace Walker: 7+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market concerns rebound-related outcomes for the Indiana at San Antonio game; it matters because rebounding affects possessions, second-chance points, and defensive control, all of which can swing game results and related prop markets.
This is an NBA matchup played in San Antonio (AT&T Center) between Indiana and San Antonio; recent seasons have seen the Spurs feature a high-impact interior presence while Indiana typically fields a traditional rim protector. Market structure (20 outcomes) suggests multiple lines or player/team rebound totals are being offered; the market closes date/time is listed as TBD, so timing and finalization depend on platform scheduling and pregame confirmations.
Market prices reflect the crowd’s consensus expectation for each listed rebound outcome and will move as new information arrives (injury news, starting lineups, rest). Use prices as a realtime signal of market sentiment, not as fixed predictions—compare them to your own read on matchup and roster news.
The event close time is currently TBD; typically these markets close shortly before game start and only rebounds recorded during official game time (including overtime if specified) count — check the market rules or platform notices for the exact cutoff once announced.
The 20 outcomes likely correspond to multiple lines such as team totals, individual player rebound totals, or categorical ranges; consult the market’s outcome list on the trading page to see which specific player or team rebound props are being offered and their wording.
Primary impacts come from each team’s leading bigs and starting wings who crash the boards — on San Antonio that includes the team’s main interior presence, and on Indiana the starting center/power forward; pregame injury reports and final starting lineups are the highest-impact updates to monitor.
Coaches who emphasize offensive rebounding and aggressive foul-line defense will raise rebound opportunities, while teams prioritizing transition defense or perimeter spacing may concede offensive rebound chances; late-game substitution patterns and matchup-specific instructions also shift rebound distribution.
Use recent game logs and season rebound rates to gauge baseline tendencies (team offensive/defensive rebound percentages and individual rebound rates), but adjust for matchup-specific factors: opponent rebound strength, pace, injuries, and any lineup changes that materially alter rebounding responsibilities.