| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| DC United wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago Fire wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago Fire wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| DC United wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market settles on which spread bracket occurs in the MLS match between DC United and Chicago Fire; it matters because spread markets focus on margin of victory rather than winner alone, which affects hedging and strategy.
DC United and Chicago Fire are MLS clubs with differing recent trajectories, home/away tendencies, and roster makeup; those team-level details shape expectations for goal margins. The listed market currently shows four possible spread outcomes, no recorded trading volume, and a closing time that is still to be determined; limited activity can mean less price discovery prior to kickoff.
Market prices reflect aggregate trader expectations about the likely goal-margin bracket for this specific match; use them as a dynamic signal that incorporates injuries, lineups, and late information rather than a deterministic prediction.
The event page lists the close time as TBD; monitor the market page for an official close time and any updates from the platform.
They correspond to mutually exclusive goal-margin brackets used by the contract (different ranges favoring one side or the other); consult the contract description on the market page for the exact bracket definitions.
Late changes can materially shift expected goal margins—key absences on either side reduce scoring or defensive reliability—so update your view when official lineups and injury reports are released.
Low or no trading volume means prices may be stale or driven by initial offers rather than consensus; treat early prices with caution and look for liquidity or external information before relying on them.
Check official MLS match reports, reputable soccer statistics sites, and team season logs for historical goal margins and home/away splits; focus on recent seasons for the most relevant patterns.