| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Washington wins by over 1.5 goals | 32% | 30¢ | 32¢ | — | $1K | Trade → |
| Philadelphia wins by over 1.5 goals | 29% | 26¢ | 29¢ | — | $62 | Trade → |
| Washington wins by over 2.5 goals | 22% | 17¢ | 22¢ | — | $32 | Trade → |
| Philadelphia wins by over 2.5 goals | 14% | 14¢ | 21¢ | — | $15 | Trade → |
This market asks how the point spread will resolve between Washington and Philadelphia in their upcoming matchup; spread markets matter because they capture market views about margin of victory rather than just who wins. It provides a way to trade expectations about how competitive the game will be.
Washington and Philadelphia are the two competing teams in this fixture; historical matchups, roster construction, and where the game is played all shape expectations for the spread. Home-field advantage, travel schedules, and recent form typically influence pregame lines and market activity, while coaching style and matchup-specific strengths often determine in-game margins.
Prediction market prices for a spread reflect collective trader expectations about which side will cover specified margins; higher prices indicate stronger market confidence in a given spread outcome. Treat prices as a dynamic signal that updates with new information such as injuries, lineup changes, and late-breaking news.
This market is organized around the point-spread resolution for this particular game; the four outcomes correspond to different spread intervals or which side covers within those intervals. Consult the market description on the trading platform for the exact intervals and settlement rules.
The platform will set a closing time before the game starts; many spread markets close at or shortly before kickoff to prevent trading on in-game developments. Check the market page for the official close time, which may be updated as the game approaches.
Low or zero reported volume indicates limited liquidity, which can lead to wider bid-ask spreads and more price volatility when trades occur; traders should factor in execution risk and that individual trades can move prices more than in high-volume markets.
Treat confirmed lineup and injury updates as high-impact information: the absence or return of starters typically shifts expectations for the margin. Because spread markets resolve on point differentials, even a single key player's status can materially alter which outcome is likely to pay out.
Past head-to-head trends can provide context about matchup tendencies, but they are only one input; current rosters, recent performance, situational factors like injuries and travel, and coaching adjustments usually matter more for a specific game’s spread.