Charlotte are currently 4th in the Major League Soccer after 27 games in 2026, with recent form reading D W D W L. They are averaging 1.7 goals per game this season while conceding 1.4. With 45.7% average possession and 440.7 passes per game, Charlotte are one of the balanced sides in the division.
Charlotte are generating 11.4 shots per game in 2026, with 4.9 on target - a shot accuracy of 43%. They have scored in 78% of Major League Soccer games this season, with over 2.5 goals (either team) occurring in 67% of matches. Both teams have scored in 67% of Charlotte's games, and they have kept 19% clean sheets.
Defensively, Charlotte average 11 tackles and 9.4 fouls committed per game. They pick up 2.2 yellow cards per match on average - use the stat breakdown pages in the left sidebar to explore which players are driving those numbers. Charlotte's goals against average of 1.4 per game reflects strong defensive organisation.
Charlotte'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 67% over 2.5 goals rate and 67% 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 Charlotte's next fixture against Dallas on 10.10.2026.
Charlotte's home and away form has been balanced so far in 2026. Across 14 home games they've averaged 1.86 goals scored and 1 conceded per match, with both teams scoring in 64% of fixtures. On the road, they've averaged 1.62 scored and 1.85 conceded across 13 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.
Charlotte are averaging 1.58 xG for and 1.61 xG against per game in 2026 — an xG difference of -0.03. 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 stable trend, with 1.6 xG for and 1.82 xG against across their last ten games — useful context for shot-based and team-total Bet Builder markets.
Charlotte currently sit 4 of 30 in the Major League Soccer table. For headline Bet Builder stats they rank 28 of 30 for shots, 30 for tackles and 29 for fouls — useful context when comparing their lines to the league baseline. They sit bottom-five in tackles, worth flagging on opposing Bet Builder markets.
Charlotte average 1.7 goals per Major League Soccer game in 2026 across 27 matches, conceding 1.4 per game.
Charlotte's last five results are D W D W L. They are currently 4th in the Major League Soccer after 27 games this season.
Charlotte average 11.4 shots per game in 2026, with 4.9 on target - a shot accuracy of 43%.
Charlotte average 4.5 corners, 11 tackles, 9.4 fouls and 2.2 yellow cards per game in 2026. Over 2.5 goals has landed in 67% of their Major League Soccer games, BTTS in 67%. 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 Charlotte'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 | 27 | 12 | 7 | 8 | 47 | 38 | +9 | 43 | 1.59 | 67% | 67% | 19% |
| Home | 14 | 7 | 4 | 3 | 26 | 14 | +12 | 25 | 1.79 | 64% | 64% | 21% |
| Away | 13 | 5 | 3 | 5 | 21 | 24 | -3 | 18 | 1.38 | 69% | 69% | 15% |
| Pos | Team | P | Pts | Charlotte home | Charlotte away |
|---|---|---|---|---|---|
| 1 | Nashville SC | 27 | 60 | 1-2 (L) | 4-2 (L) |
| 1 | Vancouver Whitecaps | 26 | 50 | - | - |
| 2 | New England | 27 | 46 | 1-0 (W) | 1-0 (L) |
| 2 | St. Louis City | 27 | 47 | - | 1-1 (D) |
| 3 | Inter Miami | 27 | 46 | 0-0 (D) | 7 Nov |
| 3 | Dallas | 27 | 47 | 10 Oct | - |
| 4 | Charlotte | 27 | 43 | - | - |
| 4 | SJ Earthquakes | 27 | 45 | - | - |
| 5 | Chicago Fire | 26 | 42 | 0-1 (L) | 2-1 (L) |
| 5 | Houston Dynamo | 27 | 44 | 0-0 (D) | - |
| 6 | Philadelphia Union | 27 | 39 | 2-1 (W) | 17 Oct |
| 6 | Los Angeles FC | 28 | 41 | - | - |
| 7 | Orlando City | 27 | 34 | 31 Oct | 4-1 (L) |
| 7 | Seattle Sounders | 27 | 38 | - | - |
| 8 | New York RB | 27 | 33 | 6-1 (W) | 0-2 (W) |
| 8 | Colorado Rapids | 27 | 36 | - | - |
| 9 | LA Galaxy | 28 | 36 | - | 3-0 (L) |
| 9 | New York City | 27 | 33 | 0-1 (L) | 1-2 (W) |
| 10 | Portland Timbers | 27 | 32 | - | 25 Oct |
| 10 | Cincinnati | 26 | 33 | 2-2 (D) | 3-3 (D) |
| 11 | DC United | 26 | 30 | 3-1 (W) | 1-2 (W) |
| 11 | Real Salt Lake | 27 | 32 | - | - |
| 12 | San Diego | 27 | 32 | - | - |
| 12 | Columbus Crew | 27 | 29 | 3-1 (W) | 14 Oct |
| 13 | Austin | 27 | 31 | 3-1 (W) | - |
| 13 | Toronto | 27 | 29 | 3-1 (W) | 3-3 (D) |
| 14 | Atlanta United | 27 | 27 | 2-2 (D) | 0-2 (W) |
| 14 | Minnesota United | 27 | 29 | - | - |
| 15 | CF Montréal | 27 | 24 | 28 Oct | 1-2 (W) |
| 15 | Sporting KC | 27 | 21 | - | - |
| # | Player | Position | Goals | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 12 | 27 | 0.44 |
| 2 | Idan Toklomati | attacker | 9 | 26 | 0.35 |
| 3 | Liel Abada | attacker | 5 | 20 | 0.25 |
| 4 | Ashley Westwood | midfielder | 3 | 24 | 0.13 |
| # | Player | Position | Assists | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 7 | 27 | 0.26 |
| 2 | Ashley Westwood | midfielder | 5 | 24 | 0.21 |
| 3 | Liel Abada | attacker | 5 | 20 | 0.25 |
| 4 | Allan Saint-Maximin | attacker | 3 | 9 | 0.33 |
| # | Player | Position | Shots | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 57 | 27 | 2.11 |
| 2 | Idan Toklomati | attacker | 39 | 26 | 1.5 |
| 3 | Liel Abada | attacker | 33 | 20 | 1.65 |
| # | Player | Position | Shots on target | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 22 | 27 | 0.81 |
| 2 | Liel Abada | attacker | 21 | 20 | 1.05 |
| 3 | Idan Toklomati | attacker | 18 | 26 | 0.69 |
| # | Player | Position | Fouls | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Djibril Diani | midfielder | 31 | 24 | 1.29 |
| 2 | Brandt Bronico | midfielder | 21 | 23 | 0.91 |
| 3 | Pep Biel | midfielder | 19 | 27 | 0.7 |
| 4 | David Schnegg | defender | 19 | 18 | 1.06 |
| # | Player | Position | Tackles | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Djibril Diani | midfielder | 27 | 24 | 1.13 |
| 2 | Harry Toffolo | defender | 26 | 15 | 1.73 |
| 3 | Pep Biel | midfielder | 22 | 27 | 0.81 |
| 4 | Brandt Bronico | midfielder | 21 | 23 | 0.91 |
| 5 | Agyemang Morrison | defender | 20 | 21 | 0.95 |
| # | Player | Position | Fouls drawn | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Idan Toklomati | attacker | 32 | 26 | 1.23 |
| 2 | Pep Biel | midfielder | 22 | 27 | 0.81 |
| 3 | Ashley Westwood | midfielder | 21 | 24 | 0.88 |
| # | Player | Position | Yellow cards | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Ashley Westwood | midfielder | 10 | 24 | 0.42 |
| 2 | Djibril Diani | midfielder | 6 | 24 | 0.25 |
| 3 | David Schnegg | defender | 6 | 18 | 0.33 |
| 4 | Pep Biel | midfielder | 4 | 27 | 0.15 |
| # | Player | Position | Key passes | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 49 | 27 | 1.81 |
| 2 | Ashley Westwood | midfielder | 40 | 24 | 1.67 |
| 3 | Allan Saint-Maximin | attacker | 22 | 9 | 2.44 |
| 4 | Idan Toklomati | attacker | 18 | 26 | 0.69 |