Charlotte are currently 4th in the Major League Soccer after 25 games in 2026, with recent form reading W W D W D. They are averaging 1.8 goals per game this season while conceding 1.4. With 45.6% average possession and 440.2 passes per game, Charlotte are one of the balanced sides in the division.
Charlotte are generating 11.5 shots per game in 2026, with 4.9 on target - a shot accuracy of 42.6%. They have scored in 80% of Major League Soccer games this season, with over 2.5 goals (either team) occurring in 68% of matches. Both teams have scored in 68% of Charlotte's games, and they have kept 20% clean sheets.
Defensively, Charlotte average 11.2 tackles and 9.2 fouls committed per game. They pick up 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 4.6 corners per game, corner total lines are worth assessing against the opposition average. Their 68% over 2.5 goals rate and 68% 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 DC United on 19.09.2026.
Charlotte's home and away form has been strongly contrasting so far in 2026. Across 13 home games they've averaged 2 goals scored and 1 conceded per match, with both teams scoring in 69% of fixtures. On the road, they've averaged 1.58 scored and 1.92 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.
Charlotte are averaging 1.6 xG for and 1.57 xG against per game in 2026 — an xG difference of +0.03. Their 1.8 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 1.68 xG for and 1.81 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 27 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 1.8 goals per Major League Soccer game in 2026 across 25 matches, conceding 1.4 per game.
Charlotte's last five results are W W D W D. They are currently 4th in the Major League Soccer after 25 games this season.
Charlotte average 11.5 shots per game in 2026, with 4.9 on target - a shot accuracy of 42.6%.
Charlotte average 4.6 corners, 11.2 tackles, 9.2 fouls and 2 yellow cards per game in 2026. Over 2.5 goals has landed in 68% of their Major League Soccer games, BTTS in 68%. 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 | 25 | 11 | 7 | 7 | 45 | 36 | +9 | 40 | 1.6 | 68% | 68% | 20% |
| Home | 13 | 7 | 4 | 2 | 26 | 13 | +13 | 25 | 1.92 | 69% | 69% | 23% |
| Away | 12 | 4 | 3 | 5 | 19 | 23 | -4 | 15 | 1.25 | 67% | 67% | 17% |
| # | Player | Position | Goals | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 12 | 25 | 0.48 |
| 2 | Idan Toklomati | attacker | 9 | 25 | 0.36 |
| 3 | Liel Abada | attacker | 5 | 19 | 0.26 |
| 4 | Wilfried Zaha | attacker | 3 | 13 | 0.23 |
| 5 | Archie Goodwin | attacker | 3 | 22 | 0.14 |
| # | Player | Position | Assists | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 7 | 25 | 0.28 |
| 2 | Liel Abada | attacker | 5 | 19 | 0.26 |
| 3 | Ashley Westwood | midfielder | 4 | 22 | 0.18 |
| 4 | Kerwin Vargas | attacker | 4 | 17 | 0.24 |
| 5 | Allan Saint-Maximin | attacker | 3 | 7 | 0.43 |
| # | Player | Position | Shots | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 56 | 25 | 2.24 |
| 2 | Idan Toklomati | attacker | 39 | 25 | 1.56 |
| 3 | Liel Abada | attacker | 30 | 19 | 1.58 |
| 4 | Wilfried Zaha | attacker | 28 | 13 | 2.15 |
| 5 | Kerwin Vargas | attacker | 22 | 17 | 1.29 |
| # | Player | Position | Shots on target | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 22 | 25 | 0.88 |
| 2 | Liel Abada | attacker | 18 | 19 | 0.95 |
| 3 | Idan Toklomati | attacker | 18 | 25 | 0.72 |
| 4 | Wilfried Zaha | attacker | 14 | 13 | 1.08 |
| 5 | Kerwin Vargas | attacker | 10 | 17 | 0.59 |
| # | Player | Position | Fouls | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Djibril Diani | midfielder | 30 | 23 | 1.3 |
| 2 | Wilfried Zaha | attacker | 23 | 13 | 1.77 |
| 3 | Brandt Bronico | midfielder | 18 | 21 | 0.86 |
| 4 | Idan Toklomati | attacker | 18 | 25 | 0.72 |
| 5 | Agyemang Morrison | defender | 18 | 20 | 0.9 |
| # | Player | Position | Tackles | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Harry Toffolo | defender | 26 | 13 | 2 |
| 2 | Djibril Diani | midfielder | 26 | 23 | 1.13 |
| 3 | Pep Biel | midfielder | 21 | 25 | 0.84 |
| 4 | Brandt Bronico | midfielder | 21 | 21 | 1 |
| 5 | Agyemang Morrison | defender | 20 | 20 | 1 |
| # | Player | Position | Fouls drawn | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Wilfried Zaha | attacker | 46 | 13 | 3.54 |
| 2 | Idan Toklomati | attacker | 31 | 25 | 1.24 |
| 3 | Kerwin Vargas | attacker | 28 | 17 | 1.65 |
| 4 | Pep Biel | midfielder | 19 | 25 | 0.76 |
| 5 | Ashley Westwood | midfielder | 16 | 22 | 0.73 |
| # | Player | Position | Yellow cards | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Ashley Westwood | midfielder | 8 | 22 | 0.36 |
| 2 | Wilfried Zaha | attacker | 7 | 13 | 0.54 |
| 3 | Djibril Diani | midfielder | 5 | 23 | 0.22 |
| 4 | David Schnegg | defender | 5 | 16 | 0.31 |
| 5 | Nathan Byrne | defender | 3 | 21 | 0.14 |
| # | Player | Position | Key passes | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 47 | 25 | 1.88 |
| 2 | Ashley Westwood | midfielder | 38 | 22 | 1.73 |
| 3 | Wilfried Zaha | attacker | 22 | 13 | 1.69 |
| 4 | Allan Saint-Maximin | attacker | 17 | 7 | 2.43 |
| 5 | Idan Toklomati | attacker | 17 | 25 | 0.68 |