| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Denver over 115.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Denver over 121.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| New York over 120.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Denver over 127.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| New York over 105.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Denver over 112.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Denver over 109.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Denver over 124.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| New York over 117.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| New York over 123.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| New York over 111.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Denver over 103.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Denver over 106.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| New York over 108.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| New York over 126.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Denver over 118.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| New York over 114.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| New York over 129.5 points scored | 0% | 0¢ | 99¢ | — | $0 | Trade → |
This market offers tradable outcomes on the team scoring totals for New York (road) and Denver (home) in the listed matchup, organized into multiple discrete outcomes. It matters because team totals capture expectations about each side's scoring and are useful for hedging, game-preview analysis, and intraday news-driven trades.
New York at Denver pits two city teams against each other in a single game; the market abstracts each team’s scoring into separate outcome buckets rather than a single game total. Historical matchup style, venue effects (including Denver’s altitude for indoor/outdoor sports), and recent roster availability all shape expectations, and market prices will reflect new information as it arrives.
Market prices represent the crowd’s current assessment of which scoring-range outcome is most likely for each team; prices move with new information such as lineups, injuries, and in-game developments. Treat prices as dynamic indicators that incorporate public and sharp information rather than fixed predictions.
The outcomes are discrete scoring ranges or alternative lines for the team totals for New York and for Denver; each outcome label identifies which team and which point/goal range or line it covers—check the market UI for the exact labeling.
Close time is listed as TBD on the event; the market will close at the publishered cutoff (watch the event page for updates), and settlement will occur after the official game conclusion according to KALSHI’s resolution rules.
Inclusion of overtime depends on the market’s specific resolution text; some team-total markets include overtime while others do not—confirm the resolution rules on the event page before trading.
Settlement follows KALSHI’s policies tied to official league decisions: if the contest is not completed within the publishered window the market may be voided or settled per those rules—refer to the event’s settlement terms for precise handling.
Late injury/availability updates, official starting lineups, announced load-management decisions, travel or illness reports, and significant changes to venue conditions (for outdoor sports) are the primary drivers that typically shift market prices.