| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Toronto over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 98.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 101.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 104.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 107.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 110.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market breaks down the possible point totals for New Orleans and Toronto in their matchup into multiple tradable outcomes; it matters because team totals let traders express views on scoring separate from which team wins.
Team totals markets reflect how many points each team will score in a single game and typically list a series of mutually exclusive scoring ranges or thresholds. New Orleans and Toronto have different offensive styles, rotations, and home/away tendencies that influence expected scoring, and markets update as new information (injuries, rotations, rest) becomes available. Historical head-to-head results and venue characteristics also provide context but are only part of the picture.
Market prices summarize traders’ collective expectations for each discrete scoring outcome; higher-priced outcomes indicate more market interest or perceived likelihood relative to others. Use the distribution of prices across outcomes to form a view of the market’s implied scoring range and watch for price movement when new game-specific information arrives.
The event page lists the close as TBD; in practice, team-total markets usually stop trading shortly before game tip-off or when official injury/lineup information is locked. Check the market page on KALSHI for the platform’s final close time and any last-minute updates.
The 18 outcomes correspond to discrete scoring bins or thresholds for one or both teams (for example, individual point ranges, over/under intervals, or multiple team-specific outcomes). Consult the market description on the event page to see which team and which exact scoring ranges each outcome maps to.
A late scratch changes expected minutes, usage rates, and bench contributions. Reassess who will take on primary scoring and playmaking duties, check historical games with similar lineup changes, and monitor how the coaching staff has adjusted rotations in comparable situations.
Key matchup details include how each team defends the opponent’s primary scorers, rebounding and transition tendencies that create extra possessions, and three-point volume/efficiency splits. Also consider whether one team’s strengths attack the other’s weaknesses (e.g., strong inside scoring vs. weak interior defense).
Venue can influence pace and scoring (home-court familiarity, altitude, crowd effects), and recent head-to-head results reveal matchup dynamics, but treat these as inputs rather than determinative factors. Combine venue and head-to-head trends with current-season offensive/defensive form and up-to-date roster information for a balanced assessment.