| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jrue Holiday: 5+ | 54% | 50¢ | 54¢ | — | $504 | Trade → |
| Donovan Clingan: 12+ | 56% | 54¢ | 55¢ | — | $378 | Trade → |
| Donovan Clingan: 13+ | 45% | 42¢ | 45¢ | — | $310 | Trade → |
| Jrue Holiday: 6+ | 39% | 35¢ | 37¢ | — | $88 | Trade → |
| Jarace Walker: 6+ | 53% | 50¢ | 53¢ | — | $54 | Trade → |
| Pascal Siakam: 10+ | 10% | 8¢ | 10¢ | — | $25 | Trade → |
| Donovan Clingan: 10+ | 76% | 71¢ | 74¢ | — | $24 | Trade → |
| Pascal Siakam: 4+ | 85% | 76¢ | 84¢ | — | $24 | Trade → |
| Donovan Clingan: 14+ | 35% | 26¢ | 34¢ | — | $20 | Trade → |
| Jarace Walker: 8+ | 26% | 22¢ | 26¢ | — | $18 | Trade → |
| Pascal Siakam: 6+ | 56% | 50¢ | 55¢ | — | $17 | Trade → |
| Donovan Clingan: 16+ | 19% | 0¢ | 19¢ | — | $3 | Trade → |
| Pascal Siakam: 8+ | 0% | 26¢ | 28¢ | — | $0 | Trade → |
| Pascal Siakam: 2+ | 0% | 91¢ | 99¢ | — | $0 | Trade → |
| Jrue Holiday: 8+ | 0% | 12¢ | 14¢ | — | $0 | Trade → |
| Aaron Nesmith: 6+ | 0% | 17¢ | 24¢ | — | $0 | Trade → |
| Jarace Walker: 10+ | 0% | 7¢ | 9¢ | — | $0 | Trade → |
| Jarace Walker: 2+ | 0% | 91¢ | 99¢ | — | $0 | Trade → |
| Aaron Nesmith: 4+ | 0% | 50¢ | 54¢ | — | $0 | Trade → |
| Aaron Nesmith: 8+ | 0% | 2¢ | 8¢ | — | $0 | Trade → |
| Aaron Nesmith: 2+ | 0% | 82¢ | 91¢ | — | $0 | Trade → |
| Jrue Holiday: 4+ | 0% | 65¢ | 72¢ | — | $0 | Trade → |
| Aaron Nesmith: 10+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Jarace Walker: 4+ | 0% | 77¢ | 79¢ | — | $0 | Trade → |
| Jrue Holiday: 2+ | 0% | 88¢ | 97¢ | — | $0 | Trade → |
This market settles on rebound outcomes for the NBA game between the Indiana team and the Portland team; it matters to traders who want to express views on which team will control the glass in that matchup. Rebounds often correlate with possession counts and second-chance scoring, making them a meaningful in-game performance metric.
Context includes each team’s recent rebounding performance, typical starting frontcourt lineups, and any roster changes or injury reports leading up to the game. Historical head-to-head matchups and the teams’ season-long tendencies (pace, offensive/defensive rebounding rates) shape expectations, while single-game factors such as minutes, matchup quirks, and coaching strategy can create deviations from those trends.
Prediction market prices reflect the market’s consensus view of which rebound outcome is most likely and update as new information arrives. Use prices as a real-time synthesis of available information (injuries, lineups, betting flows), rather than fixed forecasts.
TBD indicates the exchange has not posted a fixed close time; typically these markets close at or shortly before game tip-off or when trading is halted for official lineups—check the exchange for a final announcement and monitor for any last-minute changes.
Each outcome corresponds to a specific rebound total or bucket defined by the market creator (for example, discrete totals or ranges for team or combined rebounds); the market interface lists the label for each outcome so traders can see the exact settlement condition.
Late scratches or injuries to each team’s primary rebounders (their starting center and power forward) and any announced changes to minutes for those players will have the biggest impact, since they materially change possession control and rebounding opportunities.
Use head-to-head data as context—look for repeating matchup patterns (one team consistently dominating the boards) but weigh those patterns against current-season form, roster changes, and situational factors like rest or injuries that can disrupt historical trends.
Markets can update rapidly in response to official lineup releases, injury reports, or real-time injury/rotation events; traders should expect prices to move immediately when information that alters expected minutes or matchups becomes public.