| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Portland wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 24.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Portland wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur in the Portland at Philadelphia game, letting participants trade on how large or small the margin will be. It matters because spread markets consolidate public and informed views about how close the game is expected to be.
Portland and Philadelphia bring different recent histories, styles, and roster situations that shape spread expectations: one team may rely more on pace and perimeter scoring while the other emphasizes halfcourt defense and interior play. Head-to-head history, travel (Portland crossing time zones to play in Philadelphia), back-to-back scheduling, and current injury or availability news all affect how the matchup is priced. Markets like this reflect evolving information up to game time.
Market prices on a spread market represent the collective view of participants about which spread band is most likely to occur and will move as new information arrives. Treat prices as real-time signals of market sentiment rather than fixed predictions.
Close time is listed as TBD for this market; typically spread markets close shortly before game tip-off to allow for final information, so check the market page close to game day for the confirmed cutoff.
The ten outcomes correspond to discrete spread bands or specific cover outcomes defined by the market creator (for example, different ranges in which the final margin could fall); view the market ladder on the platform to see the exact labels for each outcome.
Monitor the status of each team’s top scorers, primary ball-handlers, and key defenders or rim protectors, plus any announced rest or minutes restrictions for starters; changes to those roles materially alter matchup balance and the market response.
Home-court factors such as crowd influence, routine, and not having to travel typically favor the home team and are already considered by traders; long travel and time-zone disruption for visiting Portland can increase the likelihood of a larger margin, especially on short rest.
Follow official injury reports, team announcements, and credible beat reporters; because spread markets respond quickly, consider waiting for confirmed information rather than rumors, check the market’s liquidity before trading, and be prepared for rapid price movement as the game approaches.