| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| VJ Edgecombe: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VJ Edgecombe: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VJ Edgecombe: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VJ Edgecombe: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 40+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks which points outcome will occur in the Philadelphia at Denver game; it matters because collective market prices synthesize information about scoring expectations and can highlight how bettors and analysts view game dynamics.
Philadelphia and Denver are teams whose styles, personnel, and recent form influence scoring profiles in head-to-head matchups. Venue effects (Denver’s altitude), matchup history, and availability of key players often shape expectations for total points in this specific pairing.
Odds in this market reflect the crowd’s consensus about which points-range or discrete scoring outcome is most likely; they update as new information arrives (injury reports, starting lineups, weather for travel, etc.) and should be read as a summary of market sentiment rather than a guarantee.
Closure is set by the market operator and is currently listed as TBD; typically markets of this type close at or shortly before game start, so check the KALSHI market page or notifications for the exact cutoff for this event.
Injuries and lineup updates materially change scoring expectations; markets typically react quickly as participants reprioritize expected scoring based on who will play, who takes on usage, and how defensive matchups shift.
Altitude can influence breathing and stamina for the visiting team, sometimes increasing early-game scoring or causing late-game fatigue that affects pace; the net effect varies by team conditioning and substitution patterns, and markets incorporate that uncertainty.
The market’s multiple outcomes partition the possible point results into discrete, mutually exclusive buckets (for example, ranges or exact totals depending on market design); only one outcome will settle as true based on the official final score, so choose the bucket that best reflects your view of likely scoring.
Zero volume means no matched trades have been recorded yet; you can still submit orders, but low liquidity can lead to wider spreads and a greater chance your order won’t fill immediately. Consider using limit orders and monitor updates (lineups, news) that can attract other traders.