Chicago Fire are currently 19th in the Major League Soccer after 23 games in 2026, with recent form reading W D D D D. They are averaging 1.9 goals per game this season while conceding 1.4. With 51.3% average possession and 477.2 passes per game, Chicago Fire are one of the balanced sides in the division.
Chicago Fire are generating 13.7 shots per game in 2026, with 5.2 on target - a shot accuracy of 38%. They have scored in 87% of Major League Soccer games this season, with over 2.5 goals (either team) occurring in 74% of matches. Both teams have scored in 74% of Chicago Fire's games, and they have kept 26% clean sheets.
Defensively, Chicago Fire average 15.2 tackles and 12.5 fouls committed per game. They pick up 2.3 yellow cards per match on average - use the stat breakdown pages in the left sidebar to explore which players are driving those numbers. Chicago Fire's goals against average of 1.4 per game reflects a side still finding defensive consistency.
Chicago Fire's season averages provide a useful baseline across several popular bet builder markets. At 4.2 corners per game, corner total lines are worth assessing against the opposition average. Their 74% over 2.5 goals rate and 74% BTTS rate give context for goals markets. For player-level markets - tackles, shots, fouls, yellow cards - use the individual stat pages linked in the sidebar to find per-player averages and game-by-game frequency data ahead of Chicago Fire's next fixture against New England on 13.09.2026.
Chicago Fire's home and away form has been consistent so far in 2026. Across 11 home games they've averaged 1.91 goals scored and 1.09 conceded per match, with both teams scoring in 64% of fixtures. On the road, they've averaged 1.92 scored and 1.75 conceded across 12 away games. Use the Home / Away filter above the stat table to drill into player-level splits for Bet Builder markets that move with venue.
Chicago Fire are averaging 1.9 xG for and 1.44 xG against per game in 2026 — an xG difference of +0.46. Their 1.9 actual goals per game is in line with expected output, pointing to average conversion and reflecting a side performing in line with expected metrics. Recent form shows an declining trend, with 1.56 xG for and 1.45 xG against across their last ten games — useful context for shot-based and team-total Bet Builder markets.
Chicago Fire currently sit 19 of 45 in the Major League Soccer table. For headline Bet Builder stats they rank 22 of 45 for shots, 35 for tackles and 23 for fouls — useful context when comparing their lines to the league baseline.
Chicago Fire average 1.9 goals per Major League Soccer game in 2026 across 23 matches, conceding 1.4 per game.
Chicago Fire's last five results are W D D D D. They are currently 19th in the Major League Soccer after 23 games this season.
Chicago Fire average 13.7 shots per game in 2026, with 5.2 on target - a shot accuracy of 38%.
Chicago Fire average 4.2 corners, 15.2 tackles, 12.5 fouls and 2.3 yellow cards per game in 2026. Over 2.5 goals has landed in 74% of their Major League Soccer games, BTTS in 74%. Use the stat breakdown pages in the sidebar for player-level averages across each market.
Use the Home / Away filter above the data table to compare Chicago Fire's stats split by venue across all categories in 2026.
| Scope | P | W | D | L | GF | GA | GD | Pts | PPG | BTTS % | Over 2.5 % | Clean sheet % |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall | 23 | 11 | 6 | 6 | 44 | 33 | +11 | 39 | 1.7 | 74% | 74% | 26% |
| Home | 11 | 7 | 1 | 3 | 21 | 12 | +9 | 22 | 2 | 64% | 73% | 36% |
| Away | 12 | 4 | 5 | 3 | 23 | 21 | +2 | 17 | 1.42 | 83% | 75% | 17% |
| # | Player | Position | Goals | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Hugo Cuypers | attacker | 13 | 11 | 1.18 |
| 2 | Maren Haile-Selassie | midfielder | 7 | 23 | 0.3 |
| 3 | Robert Lewandowski | attacker | 6 | 9 | 0.67 |
| 4 | Philip Zinckernagel | attacker | 5 | 22 | 0.23 |
| 5 | Robin Lod | midfielder | 4 | 22 | 0.18 |
| # | Player | Position | Assists | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 9 | 22 | 0.41 |
| 2 | Maren Haile-Selassie | midfielder | 4 | 23 | 0.17 |
| 3 | Andrew Gutman | defender | 4 | 18 | 0.22 |
| 4 | Robert Lewandowski | attacker | 2 | 9 | 0.22 |
| 5 | Jonathan Bamba | attacker | 2 | 16 | 0.13 |
| # | Player | Position | Shots | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 60 | 22 | 2.73 |
| 2 | Hugo Cuypers | attacker | 40 | 11 | 3.64 |
| 3 | Maren Haile-Selassie | midfielder | 39 | 23 | 1.7 |
| 4 | Jonathan Bamba | attacker | 28 | 16 | 1.75 |
| 5 | Robin Lod | midfielder | 21 | 22 | 0.95 |
| # | Player | Position | Shots on target | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Hugo Cuypers | attacker | 22 | 11 | 2 |
| 2 | Philip Zinckernagel | attacker | 21 | 22 | 0.95 |
| 3 | Maren Haile-Selassie | midfielder | 17 | 23 | 0.74 |
| 4 | Jonathan Bamba | attacker | 11 | 16 | 0.69 |
| 5 | Robert Lewandowski | attacker | 10 | 9 | 1.11 |
| # | Player | Position | Fouls | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 36 | 22 | 1.64 |
| 2 | Robin Lod | midfielder | 33 | 22 | 1.5 |
| 3 | Djé D'Avilla | midfielder | 27 | 22 | 1.23 |
| 4 | Anton Salétros | midfielder | 24 | 21 | 1.14 |
| 5 | Andrew Gutman | defender | 20 | 18 | 1.11 |
| # | Player | Position | Tackles | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 39 | 22 | 1.77 |
| 2 | Anton Salétros | midfielder | 31 | 21 | 1.48 |
| 3 | Djé D'Avilla | midfielder | 30 | 22 | 1.36 |
| 4 | Robin Lod | midfielder | 26 | 22 | 1.18 |
| 5 | Jonathan Dean | defender | 25 | 19 | 1.32 |
| # | Player | Position | Fouls drawn | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 42 | 22 | 1.91 |
| 2 | Djé D'Avilla | midfielder | 22 | 22 | 1 |
| 3 | Robert Lewandowski | attacker | 17 | 9 | 1.89 |
| 4 | Jonathan Bamba | attacker | 17 | 16 | 1.06 |
| 5 | Hugo Cuypers | attacker | 15 | 11 | 1.36 |
| # | Player | Position | Yellow cards | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Djé D'Avilla | midfielder | 7 | 22 | 0.32 |
| 2 | Anton Salétros | midfielder | 5 | 21 | 0.24 |
| 3 | Joel Waterman | defender | 5 | 15 | 0.33 |
| 4 | Philip Zinckernagel | attacker | 4 | 22 | 0.18 |
| 5 | Jack Elliott | defender | 4 | 21 | 0.19 |
| # | Player | Position | Key passes | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 48 | 22 | 2.18 |
| 2 | Maren Haile-Selassie | midfielder | 35 | 23 | 1.52 |
| 3 | Anton Salétros | midfielder | 26 | 21 | 1.24 |
| 4 | Robin Lod | midfielder | 21 | 22 | 0.95 |
| 5 | Andrew Gutman | defender | 21 | 18 | 1.17 |