| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 230.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 224.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 221.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 245.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 227.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 251.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 248.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 236.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 242.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 239.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 233.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the combined total points scored in the Chicago at Philadelphia game. It matters because it aggregates public expectations about game scoring and reacts quickly to news that affects offensive or defensive outlooks.
The market sits on a single matchup between Chicago and Philadelphia and typically reflects both teams' recent form, head-to-head tendencies, and any roster or coaching changes. Venue (home advantage), schedule context (rest, travel, back-to-backs), and the teams' strategic styles (fast-paced offense vs. defensive focus) are common background drivers for expected scoring.
Market prices represent the crowd’s implied view of which scoring range is most likely and update as new information arrives; they should be read as market-implied likelihoods rather than definitive forecasts.
Markets like this typically close at or just before the scheduled game start; the platform will display the official close time for this specific market and stop accepting new trades at that moment.
Settlement usually follows the league’s official final score; unless the market rules state otherwise, overtime points are included because the official final includes all points scored in regulation and overtime.
Late-breaking injuries or lineup changes can shift expectations for scoring and are typically reflected quickly in market prices as traders react; the magnitude of the move depends on how central the affected players are to scoring or defense and on market liquidity.
Outcome handling is governed by the exchange’s settlement rules: common approaches are to void and refund positions if the game is not played within a defined window, or to delay settlement until the game is completed; check the platform’s official event-resolution policy for specifics.
Use head-to-head and recent-season scoring trends to form a baseline, but adjust for current-season roster changes, matchup-specific defensive matchups, pace differences, and situational context (rest, travel). Treat small-sample head-to-head anomalies cautiously and weigh recent, context-relevant data more heavily.