| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Toronto wins by over 1.5 Points | 52% | 51¢ | 52¢ | — | $10K | Trade → |
| New Orleans wins by over 2.5 Points | 40% | 38¢ | 40¢ | — | $1K | Trade → |
| Toronto wins by over 10.5 Points | 25% | 22¢ | 27¢ | — | $359 | Trade → |
| Toronto wins by over 4.5 Points | 42% | 41¢ | 42¢ | — | $332 | Trade → |
| New Orleans wins by over 14.5 Points | 11% | 11¢ | 13¢ | — | $88 | Trade → |
| New Orleans wins by over 5.5 Points | 30% | 29¢ | 32¢ | — | $50 | Trade → |
| Toronto wins by over 7.5 Points | 31% | 31¢ | 35¢ | — | $36 | Trade → |
| Toronto wins by over 13.5 Points | 0% | 15¢ | 20¢ | — | $0 | Trade → |
| New Orleans wins by over 11.5 Points | 0% | 14¢ | 19¢ | — | $0 | Trade → |
| New Orleans wins by over 8.5 Points | 0% | 20¢ | 25¢ | — | $0 | Trade → |
| Toronto wins by over 16.5 Points | 0% | 11¢ | 15¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur when the Toronto team visits New Orleans; it matters because spread markets summarize market expectations about margin of victory and are used by traders to express views on game competitiveness.
The matchup pairs an eastern-division road team against a southern-conference home team where home-court, travel schedule, and recent head-to-head history can matter. Historical context such as how these franchises match up stylistically — e.g., pace, three-point reliance, and interior defense — provides useful background for evaluating spread outcomes.
Market prices here reflect the trading community’s consensus about which spread bucket is most likely to occur; interpret higher-priced outcomes as those the market views as less likely and lower-priced outcomes as more commonly expected, while remembering prices can change rapidly as news arrives.
Each outcome corresponds to a specific spread bucket or line (for example ranges of final margin or discrete point spreads); the market resolves to the outcome whose defined margin matches the final scoredifference per the platform’s contract specs.
If a close time is listed as TBD, check the exchange’s event page or rules — markets like this commonly close at or shortly before scheduled tipoff or when the exchange sets a firm cutoff; the platform will update the close time when it’s determined.
Key factors include the availability and performance of Toronto’s primary scorers and playmakers, the team’s three-point and turnover rates, bench scoring depth, and how well they defend the paint against New Orleans.
Important elements are New Orleans’s interior scoring and rebounding, rim protection, ability to control tempo, production from primary ball-handlers, and how effectively they defend opponent shooters.
Late injuries typically move market prices quickly while trading continues; once the market closes, resolution uses the official final score regardless of roster changes, so verify the exchange’s rules for examples like postponed games or disputed scores.