| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Denver over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Denver over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Phoenix over 110.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Phoenix over 101.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Denver over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Phoenix over 107.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Phoenix over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Phoenix over 104.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Denver over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Phoenix over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Phoenix over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Phoenix over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Denver over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Denver over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Denver over 130.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Denver over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Denver over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Phoenix over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the total points scored by Denver and the total points scored by Phoenix in their matchup. It matters because market prices aggregate trader expectations about each team’s scoring output and react to late-breaking game information.
Denver at Phoenix pits two teams with different styles and situational factors that commonly move team totals markets: pace of play, defensive matchups, and roster availability. Historical head-to-head results, home/away splits, and context such as travel or rest can all shift expectations for each team’s scoring on game day.
Market odds here reflect the consensus view of traders about the likelihood of each scoring-range outcome and will update as new information (injuries, starting lineups, weather for travel, etc.) becomes available. Use odds as a dynamic indicator of market-implied expectations rather than a fixed prediction.
This market offers 18 distinct outcomes representing different scoring thresholds or ranges for the teams; the exact labels and which team each outcome applies to are listed on the market contract page.
The market close is listed as TBD; on KALSHI, markets typically close at a stated lock time (often before tipoff) or when the contract specifies—check the market page for the official close time.
Settlement follows the contract rules posted on the market page; those rules will state the official data source and whether regulation-only or final score (including overtime) is used—confirm the settlement terms before trading.
Watch starting lineup confirmations, injury reports and practice participation, last‑minute rotations, official minutes guidance, betting‑market lines and player usage trends, and any travel or rest updates that could affect scoring.
Examine recent scoring trends, each team’s home/away splits and pace, and any roster or coaching changes since prior meetings. Place greater weight on recent games with similar contexts (same venue, similar rotations, comparable rest) and adjust for injuries or lineup changes.