| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Paolo Banchero: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LeBron James: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LeBron James: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LeBron James: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Austin Reaves: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luka Dončić: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LeBron James: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Austin Reaves: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Austin Reaves: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luka Dončić: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Austin Reaves: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LeBron James: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luka Dončić: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luka Dončić: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luka Dončić: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Austin Reaves: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to predict the three-point-related outcome(s) for the Los Angeles L at Orlando game (for example, team or player three-pointers made across discrete outcomes). It matters because three-point production is a high-leverage factor in modern basketball and creates event-specific trading opportunities tied to lineup and game-flow news.
Three-point shooting has become a central strategy in professional basketball, with team and player tendencies varying game-to-game based on rotations, matchups, and coaching game plans. For this specific matchup, historical team styles, recent shooting form, and any roster or injury news will drive expectations; the market aggregates those signals into tradable outcomes.
Market prices summarize collective expectations about the three-pointer outcomes and will move as new information arrives (injuries, lineup changes, pace, in-game performance). Treat prices as evolving indicators rather than guarantees and check the market’s resolution rules before trading.
This market lists 30 distinct outcomes. Each outcome corresponds to a specific count or range as defined on the event page—open the market’s outcome list to see the exact options and payout rules.
The market close time is listed as TBD on the event page. Settlement will occur after the game using the official statistics and according to KALSHI’s resolution timeline; check the market terms for confirmation of the settlement trigger.
A three-pointer is defined as a successful field goal taken from beyond the three-point line as recorded in the game’s official statistics/play-by-play. Whether overtime counts depends on the market’s stated rules—consult the event resolution criteria on the platform.
Primary perimeter scorers and frequent catch-and-shoot specialists, the rotation roles of bench shooters, and how long starters play will have the largest impact. Defensive matchups and who defends the opposing shooters also materially affect three-point volume and accuracy.
Treat late roster news and game-flow signals as high-value information: scratches and rotation changes can shift three-point opportunities dramatically, and early-game pace/accuracy trends inform in-play trading. Always verify updates from official team/game sources and re-evaluate positions promptly.