| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jalen Brunson: 1+ | 86% | 87¢ | 94¢ | — | $3 | Trade → |
| Jalen Brunson: 2+ | 67% | 68¢ | 74¢ | — | $3 | Trade → |
| Jalen Brunson: 5+ | 20% | 12¢ | 19¢ | — | $3 | Trade → |
| Jalen Brunson: 4+ | 33% | 25¢ | 32¢ | — | $3 | Trade → |
| Mikal Bridges: 2+ | 0% | 41¢ | 58¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 2+ | 0% | 35¢ | 50¢ | — | $0 | Trade → |
| OG Anunoby: 3+ | 0% | 1¢ | 40¢ | — | $0 | Trade → |
| Mikal Bridges: 1+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Mikal Bridges: 4+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 3+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| OG Anunoby: 4+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| OG Anunoby: 2+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| OG Anunoby: 1+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 1+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Mikal Bridges: 3+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Mikal Bridges: 5+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 4+ | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Karl-Anthony Towns: 5+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| OG Anunoby: 5+ | 0% | 0¢ | 98¢ | — | $0 | Trade → |
| Jalen Brunson: 3+ | 0% | 46¢ | 52¢ | — | $0 | Trade → |
This market asks how many three-point field goals will be made in the New York at Denver game, letting traders express expectations about perimeter shooting in a single matchup. It matters because three-point volume strongly affects scoring distribution, game flow, and betting/hedging strategies tied to this game.
New York and Denver have different offensive profiles and coaching approaches that influence three-point attempts and makes; matchups between their primary ballhandlers and perimeter defenders often shape total threes. Venue and schedule factors (Denver altitude, back-to-back games, travel) and recent form or roster changes can materially alter expected three-point volume for a given game.
Market prices aggregate participating traders' views about which of the listed three-pointer outcomes is most likely and will update as new information (injuries, lineups, in-game performance) arrives. Treat prices as a real-time market signal about collective expectations rather than a definitive prediction.
The close time is listed as TBD on the event header; markets like this commonly close at or just before game tip-off or at a specific time shown on the KALSHI market page, so check the event page for the exact scheduled close.
The 20 outcomes map to discrete three-point total categories (either exact totals or ranges) defined by the market creator; view the outcome list on the KALSHI event page to see the precise mapping for each outcome.
Primary perimeter shooters and the starters/rotation players who take the bulk of three-point attempts have the biggest impact, as do any lineup changes that add or remove designated shooters or change ballhandling duties.
Early hot or cold shooting runs, injuries or fouls removing key shooters, announced rest or sudden lineup swaps, and visible pace shifts are the main in-game events that cause traders to update expectations and move market prices.
Use head-to-head and season-long three-point trends as a baseline to understand tendencies, but prioritize recent shooting form, current rotations, matchup specifics, and situational factors (rest, travel, altitude) because three-point outcomes exhibit high game-to-game variance.