| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Tyler Herro: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Mitchell: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Mitchell: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Norman Powell: 1+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Tyler Herro: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Mitchell: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tyler Herro: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Norman Powell: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Mitchell: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Mitchell: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many three-pointers will be made in the Miami at Cleveland game and allows traders to express views on that specific outcome. It matters because three-point production is a key determinant of game flow and final scoring margins in modern basketball.
Miami and Cleveland have distinct roster constructions and shooting profiles that influence three-point volume—one team may emphasize perimeter shooting while the other may defend the arc more tightly. Game context such as starting lineups, injuries, back-to-back scheduling, and coaching gameplans often shifts three-point attempts and makes from night to night. Historical head-to-head patterns can be informative but should be combined with current roster and injury information for this specific matchup.
Market odds aggregate traders’ views about the likely three-point outcome for this specific game; higher odds indicate less market confidence in an outcome while lower odds indicate greater market confidence. Use the market as a real-time consensus signal, then compare it to your own read of matchups, injuries, and game context.
Each listed outcome corresponds to a specific count or range of three-pointers associated with this market; consult the market’s outcome labels on the platform to see whether they represent exact counts, ranges, or bucketed totals for Miami in this game.
The market will close prior to the game’s tip-off at the platform-specified time; resolution occurs after the official box score for the Miami at Cleveland game is published by the league or the platform’s designated data provider.
Settlement relies on the official count of three-point field goals as recorded in the game’s final box score from the league or the platform’s chosen official stats supplier; check the market rules for any tie-break or data-source specifics.
Late injuries or lineup changes can materially alter projected three-point volume by changing who handles shooting opportunities and how many minutes perimeter shooters receive, so monitor injury reports and final lineups up to market close.
Compare each team’s recent three-point attempts and makes, opponent-adjusted perimeter rates, and shooting splits in similar matchups; combine those trends with matchup-specific factors—defensive matchups, projected minutes, and game pace—to form a game-specific forecast.