| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Chicago over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 110.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders speculate on the final team scoring outcomes for Chicago and Philadelphia in their matchup; team-totals markets highlight expectations for each team’s offensive performance rather than the game winner. It matters because they isolate scoring risk and can move quickly on lineup or injury news.
Team totals are a common way to trade how many points one team will score in a single game; markets like this aggregate collective expectations from traders and react to game-specific news. For a Chicago at Philadelphia matchup, venue (home court), season tempo, and recent offensive/defensive form are primary contextual drivers that typically shape prices.
Market prices represent the collective market expectation for each listed scoring outcome and change as new information arrives; use price movement together with public news to interpret evolving expectations. Remember that individual prices are dynamic signals, not guarantees of a specific score.
Each outcome represents a particular scoring threshold or range for one team in this specific game; whether an outcome pays out depends on the team’s official final points as defined by the market’s settlement rules.
Resolution occurs after the game once the official league box score is final and any league reviews are processed; exact timing and settlement procedures follow the market’s published rules.
Settlement is based on the game’s official statistics as provided by the league or the market’s designated data provider—check the market description for the specific official source used.
Late news can materially shift expected team totals; monitor official injury reports and starting lineup confirmations, and expect prices to move; traders often wait for confirmed information if liquidity is limited.
Historical and seasonal scoring trends provide useful context (recent meeting scores, offensive/defensive ratings, pace), but they must be adjusted for current roster changes, injuries, and game-specific scheduling factors to remain predictive.