| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jaylen Brown: 6+ | 69% | 37¢ | 69¢ | — | $226 | Trade → |
| Payton Pritchard: 4+ | 47% | 29¢ | 47¢ | — | $34 | Trade → |
| Jaylen Brown: 7+ | 51% | 44¢ | 50¢ | — | $2 | Trade → |
| Brandon Miller: 5+ | 0% | 44¢ | 55¢ | — | $0 | Trade → |
| Miles Bridges: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| LaMelo Ball: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Brandon Miller: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Kon Knueppel: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Jaylen Brown: 12+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Kon Knueppel: 8+ | 0% | 0¢ | 22¢ | — | $0 | Trade → |
| Miles Bridges: 8+ | 0% | 0¢ | 26¢ | — | $0 | Trade → |
| Brandon Miller: 8+ | 0% | 0¢ | 21¢ | — | $0 | Trade → |
| Miles Bridges: 10+ | 0% | 0¢ | 13¢ | — | $0 | Trade → |
| Kon Knueppel: 6+ | 0% | 0¢ | 46¢ | — | $0 | Trade → |
| Brandon Miller: 6+ | 0% | 0¢ | 42¢ | — | $0 | Trade → |
| LaMelo Ball: 6+ | 0% | 0¢ | 36¢ | — | $0 | Trade → |
| Moussa Diabaté: 12+ | 0% | 0¢ | 34¢ | — | $0 | Trade → |
| Nikola Vučević: 12+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Moussa Diabaté: 8+ | 0% | 0¢ | 76¢ | — | $0 | Trade → |
| LaMelo Ball: 8+ | 0% | 0¢ | 18¢ | — | $0 | Trade → |
| Nikola Vučević: 10+ | 0% | 0¢ | 27¢ | — | $0 | Trade → |
| Moussa Diabaté: 6+ | 0% | 0¢ | 94¢ | — | $0 | Trade → |
| Kon Knueppel: 4+ | 0% | 1¢ | 78¢ | — | $0 | Trade → |
| LaMelo Ball: 4+ | 0% | 1¢ | 67¢ | — | $0 | Trade → |
| Nikola Vučević: 8+ | 0% | 0¢ | 46¢ | — | $0 | Trade → |
| Payton Pritchard: 10+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Nikola Vučević: 6+ | 0% | 0¢ | 71¢ | — | $0 | Trade → |
| Payton Pritchard: 6+ | 0% | 0¢ | 21¢ | — | $0 | Trade → |
| Miles Bridges: 6+ | 0% | 29¢ | 46¢ | — | $0 | Trade → |
| LaMelo Ball: 5+ | 0% | 29¢ | 46¢ | — | $0 | Trade → |
| Nikola Vučević: 7+ | 0% | 43¢ | 55¢ | — | $0 | Trade → |
| Brandon Miller: 4+ | 0% | 1¢ | 73¢ | — | $0 | Trade → |
| Jaylen Brown: 10+ | 0% | 0¢ | 20¢ | — | $0 | Trade → |
| Jaylen Brown: 8+ | 0% | 8¢ | 38¢ | — | $0 | Trade → |
| Miles Bridges: 4+ | 0% | 1¢ | 80¢ | — | $0 | Trade → |
| Kon Knueppel: 5+ | 0% | 48¢ | 60¢ | — | $0 | Trade → |
| Moussa Diabaté: 10+ | 0% | 32¢ | 51¢ | — | $0 | Trade → |
| Moussa Diabaté: 14+ | 0% | 0¢ | 28¢ | — | $0 | Trade → |
| Payton Pritchard: 2+ | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Payton Pritchard: 8+ | 0% | 0¢ | 17¢ | — | $0 | Trade → |
This market lets traders speculate on the total number of rebounds recorded in the Charlotte Hornets at Boston Celtics game. Rebounds are a key box-score stat that affect possession, second-chance scoring, and game flow, making them a meaningful micro-market for bettors and analysts.
Boston and Charlotte bring distinct rebounding profiles based on personnel, pace, and coaching emphasis; historically, Boston's frontcourt depth and physical style have produced strong team rebound totals, while Charlotte's totals vary more with roster health and rotation patterns. Matchup history, recent form, and where the game is played (home vs away) also shape expected rebound dynamics.
Market prices reflect the collective view of traders about likely rebound totals and move as new information arrives (injuries, rotations, in-game events). Use prices as a snapshot of consensus while adjusting for real-time factors that can materially change rebound opportunities.
This market is divided into a set of discrete rebound totals (40 outcomes) covering a range of possible combined rebound counts for the game; traders buy or sell the outcome they think will match the official final rebound total.
Absence of either team’s primary interior rebounder — for example Boston’s starting center or Charlotte’s leading rebounder — or a major role player who consistently clears the defensive glass will have the largest impact on the total rebounds outcome.
Foul trouble generally reduces minutes for interior players, shifting rebounding responsibility to bench players and often lowering or redistributing rebound totals; markets can move quickly if a key big picks up early fouls.
Settlement is based on the official rebound totals recorded in the league’s final box score for the game; the market settles after the game is completed and the official statistics are published by the league.
Major events include unexpected injuries or ejections, sudden lineup changes, key players fouling out, or the game going to overtime — each materially alters rebound opportunities and can drive rapid market repricing.