| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jaylen Brown: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Brown: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Brown: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Neemias Queta: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Brown: 7+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Neemias Queta: 9+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Neemias Queta: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Neemias Queta: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Neemias Queta: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jayson Tatum: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Payton Pritchard: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaylen Brown: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks which rebound outcome will occur in the Golden State at Boston game; it matters because rebounds determine extra possessions and often swing single-game results, making the market a focused way to trade on interior play and tempo.
The matchup pits Golden State's frequently mobile frontcourt and guard rebounders against Boston's typically bigger and more contested paint presence; historical head-to-heads and season-long styles (pace, offensive rebounding emphasis) shape baseline expectations. Because the market offers 25 distinct outcomes, it lets traders speculate on fine-grained total-rebound results rather than just a binary over/under.
Market prices reflect how traders collectively rate each discrete rebound outcome; movements update as injury news, starting lineups, and in-game information arrive, so prices are best read as the market's aggregated view rather than a fixed forecast.
The event page shows the market close as TBD; Kalshi will publish the definitive close time and settlement rules on the event page. Settlement is generally based on the official NBA box score for the game as recorded by the league—confirm the event description for whether overtime is included.
Each of the 25 outcomes corresponds to a specific rebound total or a predefined rebound range set by the market creator. Consult the outcome labels on the Kalshi event page to see the exact bins or integers that will determine settlement.
Whether overtime rebounds count depends on the event's settlement rules; many single-game markets use the final official box score (including overtime), but you should verify the Golden State at Boston: Rebounds event description to be certain.
Primary influences are the teams' starting bigs and primary rebounders (centers and power forwards), plus any high-minute bench rebounders and guards who crash the glass. Watch the announced rotations and any late lineup changes before tip-off, as those shift the distribution of rebounds among players.
Late injuries or lineup changes can rapidly move prices because they alter who is likely to collect rebounds; low traded volume (e.g., early $0 volume) can mean wider spreads and greater price impact from single trades, so monitor official team reports and exercise caution on trade size until liquidity develops.