Chicago Fire are currently 4th in the Major League Soccer after 30 games in 2026, with recent form reading W W W L L. They are averaging 1.7 goals per game this season while conceding 1.5. With 51.7% average possession and 474.8 passes per game, Chicago Fire are one of the balanced sides in the division.
Chicago Fire are generating 14.3 shots per game in 2026, with 5.2 on target - a shot accuracy of 36.4%. They have scored in 83% of Major League Soccer games this season, with over 2.5 goals (either team) occurring in 73% of matches. Both teams have scored in 70% of Chicago Fire's games, and they have kept 23% clean sheets.
Defensively, Chicago Fire average 15.1 tackles and 12.7 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 1.5 per game reflects strong defensive organisation.
Chicago Fire's season averages provide a useful baseline across several popular bet builder markets. At 4.5 corners per game, corner total lines are worth assessing against the opposition average. Their 73% over 2.5 goals rate and 70% 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 Atlanta United on 24.10.2026.
Chicago Fire's home and away form has been balanced so far in 2026. Across 15 home games they've averaged 1.87 goals scored and 1.27 conceded per match, with both teams scoring in 73% of fixtures. On the road, they've averaged 1.6 scored and 1.67 conceded across 15 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 1.82 xG for and 1.47 xG against per game in 2026 — an xG difference of +0.35. Their 1.7 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 1.66 xG for and 1.53 xG against across their last ten games — useful context for shot-based and team-total Bet Builder markets.
Chicago Fire currently sit 4 of 30 in the Major League Soccer table. For headline Bet Builder stats they rank 5 of 30 for shots, 13 for tackles and 7 for fouls — useful context when comparing their lines to the league baseline. They rank in the top six for shots, a useful baseline when reading Bet Builder lines on this stat.
Chicago Fire average 1.7 goals per Major League Soccer game in 2026 across 30 matches, conceding 1.5 per game.
Chicago Fire's last five results are W W W L L. They are currently 4th in the Major League Soccer after 30 games this season.
Chicago Fire average 14.3 shots per game in 2026, with 5.2 on target - a shot accuracy of 36.4%.
Chicago Fire average 4.5 corners, 15.1 tackles, 12.7 fouls and 2.3 yellow cards per game in 2026. Over 2.5 goals has landed in 73% of their Major League Soccer games, BTTS in 70%. 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 | 30 | 14 | 6 | 10 | 52 | 44 | +8 | 48 | 1.6 | 70% | 73% | 23% |
| Home | 15 | 9 | 1 | 5 | 28 | 19 | +9 | 28 | 1.87 | 73% | 80% | 27% |
| Away | 15 | 5 | 5 | 5 | 24 | 25 | -1 | 20 | 1.33 | 67% | 67% | 20% |
| Pos | Team | P | Pts | Chicago Fire home | Chicago Fire away |
|---|---|---|---|---|---|
| 1 | Vancouver Whitecaps | 30 | 55 | 3-1 (W) | - |
| 1 | Nashville SC | 30 | 67 | 1-0 (W) | 3-0 (L) |
| 2 | St. Louis City | 30 | 51 | - | - |
| 2 | Inter Miami | 30 | 55 | 1-1 (D) | 3-2 (L) |
| 3 | New England | 30 | 52 | 1-2 (L) | 1-0 (L) |
| 3 | Dallas | 30 | 51 | - | - |
| 4 | Chicago Fire | 30 | 48 | - | - |
| 4 | SJ Earthquakes | 30 | 48 | - | - |
| 5 | Charlotte | 30 | 47 | 2-1 (W) | 0-1 (W) |
| 5 | Houston Dynamo | 30 | 47 | - | 2-1 (L) |
| 6 | Philadelphia Union | 30 | 46 | 1-3 (L) | 1-2 (W) |
| 6 | Los Angeles FC | 31 | 46 | - | - |
| 7 | Seattle Sounders | 30 | 42 | - | 2-2 (D) |
| 7 | Orlando City | 30 | 41 | 29 Oct | 1-2 (W) |
| 8 | New York RB | 30 | 36 | 1-3 (L) | 1-1 (D) |
| 8 | LA Galaxy | 31 | 40 | - | - |
| 9 | Colorado Rapids | 30 | 39 | - | 1 Nov |
| 9 | Cincinnati | 28 | 36 | 2-3 (L) | 3-3 (D) |
| 10 | Toronto | 30 | 36 | 2-1 (W) | 4-4 (D) |
| 10 | Real Salt Lake | 30 | 36 | - | - |
| 11 | New York City | 30 | 34 | 2-1 (W) | 3-1 (L) |
| 11 | Portland Timbers | 30 | 34 | 2-1 (W) | - |
| 12 | DC United | 29 | 33 | 1-2 (L) | 1-3 (W) |
| 12 | San Diego | 30 | 34 | - | - |
| 13 | Minnesota United | 30 | 34 | - | - |
| 13 | Columbus Crew | 29 | 32 | 7 Nov | 0-0 (D) |
| 14 | Atlanta United | 30 | 30 | 1-0 (W) | 24 Oct |
| 14 | Austin | 30 | 31 | - | - |
| 15 | CF Montréal | 30 | 25 | 3-0 (W) | 0-2 (W) |
| 15 | Sporting KC | 30 | 22 | 5-0 (W) | - |
| # | Player | Position | Goals | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Maren Haile-Selassie | midfielder | 11 | 30 | 0.37 |
| 2 | Robert Lewandowski | attacker | 6 | 15 | 0.4 |
| 3 | Philip Zinckernagel | attacker | 6 | 29 | 0.21 |
| 4 | Robin Lod | midfielder | 4 | 24 | 0.17 |
| # | Player | Position | Assists | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 9 | 29 | 0.31 |
| 2 | Maren Haile-Selassie | midfielder | 6 | 30 | 0.2 |
| 3 | Andrew Gutman | defender | 4 | 22 | 0.18 |
| 4 | Robert Lewandowski | attacker | 3 | 15 | 0.2 |
| 5 | Robin Lod | midfielder | 3 | 24 | 0.13 |
| # | Player | Position | Shots | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 90 | 29 | 3.1 |
| 2 | Maren Haile-Selassie | midfielder | 56 | 30 | 1.87 |
| 3 | Jonathan Bamba | attacker | 44 | 23 | 1.91 |
| 4 | Robert Lewandowski | attacker | 32 | 15 | 2.13 |
| # | Player | Position | Shots on target | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 30 | 29 | 1.03 |
| 2 | Maren Haile-Selassie | midfielder | 26 | 30 | 0.87 |
| 3 | Jonathan Bamba | attacker | 15 | 23 | 0.65 |
| 4 | Robert Lewandowski | attacker | 12 | 15 | 0.8 |
| # | Player | Position | Fouls | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 53 | 29 | 1.83 |
| 2 | Djé D'Avilla | midfielder | 40 | 28 | 1.43 |
| 3 | Robin Lod | midfielder | 33 | 24 | 1.38 |
| 4 | Anton Salétros | midfielder | 25 | 25 | 1 |
| 5 | Andrew Gutman | defender | 23 | 22 | 1.05 |
| # | Player | Position | Tackles | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 52 | 29 | 1.79 |
| 2 | Djé D'Avilla | midfielder | 38 | 28 | 1.36 |
| 3 | Anton Salétros | midfielder | 34 | 25 | 1.36 |
| 4 | Jonathan Dean | defender | 33 | 25 | 1.32 |
| 5 | Leonardo Barroso | defender | 31 | 18 | 1.72 |
| # | Player | Position | Fouls drawn | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 53 | 29 | 1.83 |
| 2 | Djé D'Avilla | midfielder | 27 | 28 | 0.96 |
| 3 | Jonathan Bamba | attacker | 24 | 23 | 1.04 |
| 4 | Robert Lewandowski | attacker | 23 | 15 | 1.53 |
| 5 | Maren Haile-Selassie | midfielder | 19 | 30 | 0.63 |
| # | Player | Position | Yellow cards | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Djé D'Avilla | midfielder | 8 | 28 | 0.29 |
| 2 | Philip Zinckernagel | attacker | 6 | 29 | 0.21 |
| 3 | Jack Elliott | defender | 6 | 27 | 0.22 |
| 4 | Anton Salétros | midfielder | 5 | 25 | 0.2 |
| # | Player | Position | Key passes | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Philip Zinckernagel | attacker | 62 | 29 | 2.14 |
| 2 | Maren Haile-Selassie | midfielder | 54 | 30 | 1.8 |
| 3 | Anton Salétros | midfielder | 29 | 25 | 1.16 |
| 4 | Robin Lod | midfielder | 25 | 24 | 1.04 |
| 5 | Jonathan Bamba | attacker | 23 | 23 | 1 |