| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 1.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 2.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 3.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks which total-goals range the Nashville at Chicago Fire game will fall into, letting traders take positions on likely scoring outcomes rather than the match winner. It matters because totals markets distill information about offense, defense, and situational factors into tradable options.
The market covers the MLS match between Nashville and Chicago Fire (or the relevant competition named on the market) and focuses solely on combined goals scored. Historical scoring between the clubs, recent league form, roster availability, and whether the game is played in Chicago (home advantage) are common background considerations that shape expectations.
Market prices reflect the consensus view of traders about which total-goals bracket is most likely; use them as real-time signals about market sentiment rather than definitive predictions. Always check the market rules to understand which time periods and events count toward settlement.
The market's close time is listed as TBD on the event page—check the Kalshi market for the official close. Resolution typically occurs after the match using the specific official statistic defined in the market terms; consult the event rules for exact settlement timing.
The market rules define which goals count; commonly totals include goals scored during regulation time (90 minutes plus stoppage) and exclude extra time and penalty shootouts unless the event statement explicitly includes them—verify the market's settlement definition.
Late changes can materially shift expectations: the absence of a primary striker or a key defender, or the insertion of a defensive lineup, typically lowers expected goals, while attacking substitutions or returning scorers can raise them—monitor official pre-match announcements.
Head-to-head results provide context but should be weighted alongside current-season form, venue, roster changes, and tactical evolution; older matches become less predictive as teams change personnel and strategies.
Yes—conditions like wind, rain, cold temperatures, or an artificial turf surface in Chicago can suppress or alter scoring patterns, and home-field factors (travel, support) can also matter; check stadium and weather reports before trading.