| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Max Christie: 4+ | 44% | 43¢ | 45¢ | — | $614 | Trade → |
| Jalen Johnson: 11+ | 48% | 46¢ | 51¢ | — | $610 | Trade → |
| Nickeil Alexander-Walker: 4+ | 43% | 42¢ | 45¢ | — | $546 | Trade → |
| Cooper Flagg: 6+ | 60% | 54¢ | 61¢ | — | $538 | Trade → |
| Onyeka Okongwu: 8+ | 54% | 49¢ | 54¢ | — | $535 | Trade → |
| Dyson Daniels: 8+ | 38% | 38¢ | 41¢ | — | $523 | Trade → |
| Dyson Daniels: 7+ | 50% | 50¢ | 53¢ | — | $505 | Trade → |
| Cooper Flagg: 10+ | 8% | 8¢ | 18¢ | — | $258 | Trade → |
| P.J. Washington: 6+ | 59% | 53¢ | 59¢ | — | $14 | Trade → |
| Nickeil Alexander-Walker: 3+ | 54% | 41¢ | 68¢ | — | $2 | Trade → |
| Onyeka Okongwu: 6+ | 81% | 0¢ | 81¢ | — | $1 | Trade → |
| Max Christie: 8+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Cooper Flagg: 4+ | 0% | 66¢ | 83¢ | — | $0 | Trade → |
| Cooper Flagg: 8+ | 0% | 25¢ | 31¢ | — | $0 | Trade → |
| Dyson Daniels: 10+ | 0% | 0¢ | 24¢ | — | $0 | Trade → |
| Jalen Johnson: 16+ | 0% | 4¢ | 9¢ | — | $0 | Trade → |
| Daniel Gafford: 10+ | 0% | 16¢ | 24¢ | — | $0 | Trade → |
| Onyeka Okongwu: 4+ | 0% | 0¢ | 97¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 6+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Jalen Johnson: 14+ | 0% | 0¢ | 20¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 8+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Dyson Daniels: 6+ | 0% | 65¢ | 67¢ | — | $0 | Trade → |
| Daniel Gafford: 7+ | 0% | 51¢ | 57¢ | — | $0 | Trade → |
| Onyeka Okongwu: 10+ | 0% | 0¢ | 34¢ | — | $0 | Trade → |
| Daniel Gafford: 12+ | 0% | 3¢ | 12¢ | — | $0 | Trade → |
| P.J. Washington: 8+ | 0% | 18¢ | 33¢ | — | $0 | Trade → |
| Onyeka Okongwu: 12+ | 0% | 0¢ | 17¢ | — | $0 | Trade → |
| Dyson Daniels: 12+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Jalen Johnson: 10+ | 0% | 36¢ | 62¢ | — | $0 | Trade → |
| Jalen Johnson: 12+ | 0% | 16¢ | 39¢ | — | $0 | Trade → |
| P.J. Washington: 4+ | 0% | 79¢ | 88¢ | — | $0 | Trade → |
| P.J. Washington: 2+ | 0% | 79¢ | 99¢ | — | $0 | Trade → |
| Max Christie: 2+ | 0% | 75¢ | 89¢ | — | $0 | Trade → |
| Max Christie: 6+ | 0% | 6¢ | 19¢ | — | $0 | Trade → |
| P.J. Washington: 10+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Daniel Gafford: 8+ | 0% | 34¢ | 42¢ | — | $0 | Trade → |
| Daniel Gafford: 6+ | 0% | 67¢ | 68¢ | — | $0 | Trade → |
| Nickeil Alexander-Walker: 2+ | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Max Christie: 10+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Cooper Flagg: 2+ | 0% | 2¢ | 98¢ | — | $0 | Trade → |
This market lets traders express expectations about the rebounds produced in the Dallas at Atlanta game. It matters because rebounds are a key component of possession control and can be a useful, tradeable signal tied to matchups and in-game tempo.
Rebounds markets hinge on box‑score outcomes that combine offensive and defensive rebounds credited during the game; the correct interpretation depends on whether overtime is included, which is specified on the event page. Historical matchups, roster construction (who plays the 4/5), and recent injury or rotation changes shape expectations, and markets aggregate that information in real time.
Prediction market prices reflect collective sentiment and available information; they update as traders incorporate news (injuries, starting lineups, tip time) and in‑game developments. Use prices as a dynamic signal alongside box‑score trends, roster news, and matchup analysis rather than as an absolute forecast.
The event page contains the official definition; most such markets use rebounds credited in the official box score (offensive + defensive) for the specified team(s) or the game as a whole and will state whether overtime is included. Confirm the event description before trading.
The market currently lists its close time as TBD. On Kalshi, similar game outcome markets typically close at or shortly before scheduled tipoff or at a time specified in the event details, so monitor the event page for the announced close time.
Watch confirmed starters at the 4/5 spots, any injuries or rest decisions announced before tipoff, and changes to rotation length (e.g., extended minutes for backups). Late scratches or lineup adjustments materially affect rebound totals because they change who secures defensive and offensive boards.
Faster pace increases possessions and therefore rebound opportunities, while higher shooting efficiency reduces the number of missed shots and thus rebound chances. Turnovers, missed free throws, and the proportion of long rebounds off perimeter shots also shift rebound distributions.
Forty discrete outcomes suggests the market offers a fine-grained range of rebound results or bins, allowing traders to express nuanced views. Reported volume is a measure of liquidity and interest—higher volume generally improves price discoverability and reduces the impact of single trades, while low volume can mean wider effective costs to enter or exit a position.