| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Scottie Barnes: 8+ | 47% | 42¢ | 45¢ | — | $250 | Trade → |
| Karl-Anthony Towns: 12+ | 50% | 48¢ | 50¢ | — | $241 | Trade → |
| Mikal Bridges: 4+ | 47% | 44¢ | 49¢ | — | $115 | Trade → |
| Mitchell Robinson: 8+ | 52% | 51¢ | 52¢ | — | $97 | Trade → |
| Jakob Poeltl: 8+ | 49% | 43¢ | 49¢ | — | $89 | Trade → |
| Karl-Anthony Towns: 10+ | 72% | 68¢ | 72¢ | — | $37 | Trade → |
| Karl-Anthony Towns: 14+ | 34% | 3¢ | 29¢ | — | $14 | Trade → |
| RJ Barrett: 6+ | 58% | 50¢ | 52¢ | — | $9 | Trade → |
| Karl-Anthony Towns: 8+ | 88% | 84¢ | 88¢ | — | $5 | Trade → |
| Josh Hart: 12+ | 18% | 0¢ | 10¢ | — | $3 | Trade → |
| Jalen Brunson: 3+ | 66% | 56¢ | 61¢ | — | $2 | Trade → |
| Karl-Anthony Towns: 16+ | 20% | 0¢ | 16¢ | — | $1 | Trade → |
| Immanuel Quickley: 10+ | 16% | 0¢ | 15¢ | — | $1 | Trade → |
| Josh Hart: 6+ | 76% | 42¢ | 71¢ | — | $1 | Trade → |
| OG Anunoby: 8+ | 0% | 13¢ | 16¢ | — | $0 | Trade → |
| OG Anunoby: 5+ | 0% | 51¢ | 54¢ | — | $0 | Trade → |
| OG Anunoby: 2+ | 0% | 89¢ | 96¢ | — | $0 | Trade → |
| RJ Barrett: 2+ | 0% | 92¢ | 98¢ | — | $0 | Trade → |
| Immanuel Quickley: 6+ | 0% | 0¢ | 29¢ | — | $0 | Trade → |
| Mikal Bridges: 8+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Immanuel Quickley: 2+ | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| OG Anunoby: 4+ | 0% | 65¢ | 71¢ | — | $0 | Trade → |
| Jalen Brunson: 6+ | 0% | 0¢ | 13¢ | — | $0 | Trade → |
| Scottie Barnes: 4+ | 0% | 86¢ | 91¢ | — | $0 | Trade → |
| Scottie Barnes: 10+ | 0% | 20¢ | 25¢ | — | $0 | Trade → |
| Scottie Barnes: 6+ | 0% | 66¢ | 70¢ | — | $0 | Trade → |
| Mitchell Robinson: 12+ | 0% | 0¢ | 17¢ | — | $0 | Trade → |
| Mitchell Robinson: 10+ | 0% | 0¢ | 30¢ | — | $0 | Trade → |
| Immanuel Quickley: 8+ | 0% | 0¢ | 14¢ | — | $0 | Trade → |
| Jakob Poeltl: 12+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| OG Anunoby: 6+ | 0% | 35¢ | 38¢ | — | $0 | Trade → |
| Jalen Brunson: 4+ | 0% | 36¢ | 39¢ | — | $0 | Trade → |
| RJ Barrett: 4+ | 0% | 75¢ | 83¢ | — | $0 | Trade → |
| RJ Barrett: 8+ | 0% | 22¢ | 30¢ | — | $0 | Trade → |
| Jakob Poeltl: 10+ | 0% | 0¢ | 29¢ | — | $0 | Trade → |
| Mitchell Robinson: 6+ | 0% | 0¢ | 71¢ | — | $0 | Trade → |
| Mitchell Robinson: 4+ | 0% | 0¢ | 94¢ | — | $0 | Trade → |
| Josh Hart: 10+ | 0% | 0¢ | 23¢ | — | $0 | Trade → |
| Josh Hart: 8+ | 0% | 40¢ | 41¢ | — | $0 | Trade → |
| Jakob Poeltl: 6+ | 0% | 0¢ | 74¢ | — | $0 | Trade → |
| Scottie Barnes: 12+ | 0% | 7¢ | 11¢ | — | $0 | Trade → |
| RJ Barrett: 10+ | 0% | 7¢ | 15¢ | — | $0 | Trade → |
| Immanuel Quickley: 4+ | 0% | 50¢ | 57¢ | — | $0 | Trade → |
| Mikal Bridges: 6+ | 0% | 0¢ | 19¢ | — | $0 | Trade → |
| Jakob Poeltl: 4+ | 0% | 0¢ | 93¢ | — | $0 | Trade → |
| Jalen Brunson: 2+ | 0% | 0¢ | 83¢ | — | $0 | Trade → |
| Jalen Brunson: 8+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Mikal Bridges: 10+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Josh Hart: 4+ | 0% | 64¢ | 90¢ | — | $0 | Trade → |
| Mikal Bridges: 2+ | 0% | 0¢ | 90¢ | — | $0 | Trade → |
This market asks how many total rebounds will be recorded in the New York at Toronto basketball game and allows traders to express views on game pace, matchups, and player availability. It matters because rebounds are driven by predictable factors like personnel and tempo, so markets can respond quickly to news.
Rebounding outcomes reflect team styles (attack on the offensive glass, boxing out, and pace) and the specific frontcourt matchups on the night. Historical meetings between these teams can hint at tendencies, but rosters, rotations, and rest patterns often shift rebound profiles from game to game. Home-court effects and recent injury or rotation news are common drivers of deviations from season averages.
Market prices represent the crowd’s aggregated view of how likely each rebound outcome is, and they update as new information (injuries, starting lineups, rest) appears. Use market movement as a signal of how specific news changed expectations rather than a fixed prediction.
The event page lists the close time as TBD; on many platforms rebound markets close at or just before game tipoff, so check the market page for the definitive closing timestamp.
Announcements of starting lineups, injuries or rest decisions for key bigs, last-minute rotation changes, and confirmations of back-to-back status or travel issues typically move the market the most.
Watch the projected starting centers and power forwards for both teams, the primary offensive rebounders on the bench, and any players who usually log heavy minutes against the opposing frontcourt; their minutes and health are the biggest direct influences.
Home-court can affect effort levels, matchup comfort, and subtle rebounding advantages, while travel and rest disparities (e.g., one team on the second night of a back-to-back) can depress or boost rebound competitiveness for this specific game.
This market lists 50 distinct outcomes, meaning the total-rebound space is split into many discrete options; traders can choose narrow slices of outcomes but should consider liquidity (total volume traded was $865) when entering or exiting positions.