| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Bam Adebayo: 14+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 14+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bam Adebayo: 11+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bam Adebayo: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kel'el Ware: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kel'el Ware: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kel'el Ware: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bam Adebayo: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kel'el Ware: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kel'el Ware: 14+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bam Adebayo: 16+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market concerns the rebounds outcome for the NBA game between the Orlando Magic and the Miami Heat. Rebounds are a key stat that influence possessions, pace, and final scoring margins, making this a widely watched prop-style market.
Orlando and Miami bring contrasting roster constructions and styles that shape rebounding dynamics: one team may rely more on young frontcourt size while the other uses versatile wings and switching defenses. Historical matchup tendencies, recent rotations, and injury status at tipoff all shape expected rebound totals for this specific game.
Market prices aggregate traders’ expectations about how many rebounds will be recorded in this matchup and update as new information arrives. Treat quoted prices as summaries of collective belief, which change with lineup news, injuries, and in-game developments.
Whether overtime rebounds count depends on this market's specific resolution rules. Many game-level prop markets include overtime, but you should consult the event description and resolution criteria on the KALSHI event page for this listing.
What counts depends on how each outcome is worded. If an outcome specifies 'total rebounds' it typically includes both offensive and defensive rebounds; outcomes that specify 'offensive rebounds' or 'defensive rebounds' will limit to that type. Check the exact outcome text before trading.
The market closes at the time indicated on the KALSHI event page; when listed as TBD, final close is set before the game and may align with tipoff or a pregame lock. Watch the event page for the announced closing time and any updates.
Late-breaking starter announcements, official injury updates or rest decisions, and any changes to projected minutes for primary rebounders are the most impactful. Significant lineup shifts or confirmation that a key big man is out will often produce the largest price moves.
Minutes are the primary driver of rebound opportunities: more minutes for primary rebounders increases expected totals. Consider projected starter minutes, typical bench usage, and coaching tendencies (e.g., quick hook for foul trouble, minute limits for young players) when assessing how rotations affect the market.