| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Columbus wins by over 2.5 goals | 14% | 13¢ | 14¢ | — | $861 | Trade → |
| Chicago Fire wins by over 2.5 goals | 3% | 2¢ | 4¢ | — | $452 | Trade → |
| Columbus wins by over 1.5 goals | 29% | 29¢ | 30¢ | — | $134 | Trade → |
| Chicago Fire wins by over 1.5 goals | 9% | 8¢ | 10¢ | — | $120 | Trade → |
This prediction market asks how the point spread will resolve for the MLS match between Chicago Fire and Columbus. It matters because spread-based markets aggregate trader expectations about likely margin of victory, offering an alternative signal to traditional odds or forecasts.
Chicago Fire and Columbus meet as two MLS clubs with different recent form, roster availability, and tactical approaches; those team-level differences shape the expected margin. Historical head-to-head trends, travel and scheduling, and any absences or lineup rotations can shift expectations before kickoff. The market reflects real-time incorporation of that information from traders and news.
Market prices on the spreads market represent the consensus view of which margin-range outcome traders expect most, not a guarantee of the result. Changes in prices typically reflect new information (injuries, lineups, weather) and shifts in trader sentiment leading up to kickoff.
Closure timing is determined by the market operator and is typically tied to the match start; check the market page for the exact close time since it is listed as TBD and may update before kickoff.
They correspond to discrete margin ranges predefined by the market (for example, separate outcomes for each side by certain goal differentials and a narrow-margin outcome); consult the market description to see the specific margin brackets used for this event.
Very quickly — significant late news about starters or coaches can cause rapid price moves as traders adjust their expectations, so markets are most reactive in the hours and minutes before kickoff.
Home-field tends to favor the home team through crowd support, reduced travel, and familiarity with the pitch, but its impact varies based on each club’s home/away record, travel distance, and specific match context.
Head-to-head history can reveal tactical matchups and tendencies, but it should be used alongside current-season form, roster changes, and contextual factors since teams evolve between meetings.