| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Amen Thompson: 8+ | 49% | 46¢ | 49¢ | — | $212 | Trade → |
| Scottie Barnes: 7+ | 49% | 46¢ | 48¢ | — | $164 | Trade → |
| Immanuel Quickley: 4+ | 37% | 39¢ | 40¢ | — | $117 | Trade → |
| Immanuel Quickley: 2+ | 83% | 76¢ | 82¢ | — | $111 | Trade → |
| Kevin Durant: 6+ | 46% | 43¢ | 46¢ | — | $99 | Trade → |
| Alperen Sengun: 9+ | 54% | 54¢ | 56¢ | — | $93 | Trade → |
| Scottie Barnes: 8+ | 34% | 32¢ | 36¢ | — | $22 | Trade → |
| Jabari Smith Jr.: 6+ | 61% | 60¢ | 64¢ | — | $10 | Trade → |
| Alperen Sengun: 10+ | 43% | 43¢ | 45¢ | — | $7 | Trade → |
| Kevin Durant: 4+ | 78% | 72¢ | 78¢ | — | $5 | Trade → |
| Jakob Poeltl: 8+ | 53% | 44¢ | 56¢ | — | $2 | Trade → |
| Tari Eason: 6+ | 53% | 53¢ | 55¢ | — | $2 | Trade → |
| Immanuel Quickley: 8+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 7+ | 0% | 47¢ | 52¢ | — | $0 | Trade → |
| Kevin Durant: 2+ | 0% | 91¢ | 98¢ | — | $0 | Trade → |
| Scottie Barnes: 12+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Jakob Poeltl: 12+ | 0% | 5¢ | 16¢ | — | $0 | Trade → |
| Immanuel Quickley: 6+ | 0% | 10¢ | 12¢ | — | $0 | Trade → |
| RJ Barrett: 4+ | 0% | 73¢ | 83¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 10+ | 0% | 14¢ | 17¢ | — | $0 | Trade → |
| Immanuel Quickley: 10+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Amen Thompson: 12+ | 0% | 9¢ | 11¢ | — | $0 | Trade → |
| Tari Eason: 10+ | 0% | 10¢ | 13¢ | — | $0 | Trade → |
| Tari Eason: 12+ | 0% | 1¢ | 5¢ | — | $0 | Trade → |
| Amen Thompson: 6+ | 0% | 71¢ | 75¢ | — | $0 | Trade → |
| Amen Thompson: 10+ | 0% | 23¢ | 25¢ | — | $0 | Trade → |
| Tari Eason: 7+ | 0% | 40¢ | 42¢ | — | $0 | Trade → |
| RJ Barrett: 10+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Kevin Durant: 8+ | 0% | 18¢ | 20¢ | — | $0 | Trade → |
| Jakob Poeltl: 9+ | 0% | 41¢ | 44¢ | — | $0 | Trade → |
| Jakob Poeltl: 10+ | 0% | 21¢ | 32¢ | — | $0 | Trade → |
| Tari Eason: 8+ | 0% | 27¢ | 31¢ | — | $0 | Trade → |
| Kevin Durant: 10+ | 0% | 5¢ | 6¢ | — | $0 | Trade → |
| Jakob Poeltl: 6+ | 0% | 72¢ | 82¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 8+ | 0% | 34¢ | 37¢ | — | $0 | Trade → |
| Amen Thompson: 4+ | 0% | 87¢ | 93¢ | — | $0 | Trade → |
| Scottie Barnes: 10+ | 0% | 10¢ | 17¢ | — | $0 | Trade → |
| Scottie Barnes: 6+ | 0% | 61¢ | 62¢ | — | $0 | Trade → |
| RJ Barrett: 2+ | 0% | 37¢ | 99¢ | — | $0 | Trade → |
| RJ Barrett: 6+ | 0% | 48¢ | 51¢ | — | $0 | Trade → |
| Alperen Sengun: 6+ | 0% | 83¢ | 87¢ | — | $0 | Trade → |
| Alperen Sengun: 12+ | 0% | 23¢ | 24¢ | — | $0 | Trade → |
| Alperen Sengun: 8+ | 0% | 65¢ | 68¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 12+ | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| RJ Barrett: 8+ | 0% | 10¢ | 25¢ | — | $0 | Trade → |
This market lets traders express expectations about the rebound outcome in the Toronto at Houston game; it matters because rebounds are a key box‑score stat that reflect possession opportunities and matchups. The market aggregates real‑time beliefs about how the two teams will perform on the glass.
Toronto and Houston bring different personnel mixes and stylistic tendencies that shape rebounding dynamics: frontcourt size, defensive schemes, and offensive shot profiles all matter. Home/away scheduling, recent minutes load and any roster changes or injuries also influence how many rebounds each side is likely to collect. Historical head‑to‑head numbers are a useful reference but can be outweighed by current rotations and game context.
Market odds express the crowd’s consensus expectation for the listed rebound outcomes and update as new information arrives. Use them as a continuously updating signal that incorporates public news, injuries and in‑game developments rather than a fixed prediction.
Each listed outcome corresponds to a specific rebound target or range for the game as defined on the market page; review the outcome names to see whether they are exact totals, ranges, or team‑specific boxes.
The market currently shows 'Closes: TBD'; markets like this typically close at or just before the game’s official start but check the market page for the final announced close time.
Primary influences are the starting center and power forward, how many minutes the team’s main rebounders play, and whether bench bigs are expected to get extended time — any late lineup or injury news can materially shift expectations.
A faster pace and higher three‑point rate increase total rebound opportunities and shift the mix toward long rebounds and offensive board chances; conversely, a slower, half‑court game typically lowers total rebound counts.
Monitor pregame injury reports, official starting lineups and minute projections; once lineups are confirmed or key players are ruled out, adjust positions quickly because playing‑time news and in‑game rotations are the strongest short‑term drivers of rebound outcomes.