Charlotte are currently 5th in the Major League Soccer after 30 games in 2026, with recent form reading W L W L D. They are averaging 1.8 goals per game this season while conceding 1.5. With 46.6% average possession and 442.8 passes per game, Charlotte are one of the balanced sides in the division.
Charlotte are generating 11.6 shots per game in 2026, with 4.8 on target - a shot accuracy of 41.4%. They have scored in 80% of Major League Soccer games this season, with over 2.5 goals (either team) occurring in 70% of matches. Both teams have scored in 70% of Charlotte's games, and they have kept 17% clean sheets.
Defensively, Charlotte average 10.9 tackles and 9.7 fouls committed per game. They pick up 2.1 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 1.5 per game reflects strong defensive organisation.
Charlotte's season averages provide a useful baseline across several popular bet builder markets. At 4.7 corners per game, corner total lines are worth assessing against the opposition average. Their 70% 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 Charlotte's next fixture against Portland Timbers on 25.10.2026.
Charlotte's home and away form has been balanced so far in 2026. Across 15 home games they've averaged 1.93 goals scored and 1.07 conceded per match, with both teams scoring in 67% of fixtures. On the road, they've averaged 1.6 scored and 1.93 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.
Charlotte are averaging 1.58 xG for and 1.76 xG against per game in 2026 — an xG difference of -0.18. Their 1.8 actual goals per game sits above expected output, pointing to strong finishing and reflecting clinical finishing above expected output. Recent form shows an declining trend, with 1.54 xG for and 2.16 xG against across their last ten games — useful context for shot-based and team-total Bet Builder markets.
Charlotte currently sit 5 of 30 in the Major League Soccer table. For headline Bet Builder stats they rank 28 of 30 for shots, 30 for tackles and 28 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 30 matches, conceding 1.5 per game.
Charlotte's last five results are W L W L D. They are currently 5th in the Major League Soccer after 30 games this season.
Charlotte average 11.6 shots per game in 2026, with 4.8 on target - a shot accuracy of 41.4%.
Charlotte average 4.7 corners, 10.9 tackles, 9.7 fouls and 2.1 yellow cards per game in 2026. Over 2.5 goals has landed in 70% 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 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 | 30 | 13 | 8 | 9 | 53 | 45 | +8 | 47 | 1.57 | 70% | 70% | 17% |
| Home | 15 | 8 | 4 | 3 | 29 | 16 | +13 | 28 | 1.87 | 67% | 67% | 20% |
| Away | 15 | 5 | 4 | 6 | 24 | 29 | -5 | 19 | 1.27 | 73% | 73% | 13% |
| Pos | Team | P | Pts | Charlotte home | Charlotte away |
|---|---|---|---|---|---|
| 1 | Vancouver Whitecaps | 30 | 55 | - | - |
| 1 | Nashville SC | 30 | 67 | 1-2 (L) | 4-2 (L) |
| 2 | St. Louis City | 30 | 51 | - | 1-1 (D) |
| 2 | Inter Miami | 30 | 55 | 0-0 (D) | 7 Nov |
| 3 | New England | 30 | 52 | 1-0 (W) | 1-0 (L) |
| 3 | Dallas | 30 | 51 | 3-2 (W) | - |
| 4 | Chicago Fire | 30 | 48 | 0-1 (L) | 2-1 (L) |
| 4 | SJ Earthquakes | 30 | 48 | - | - |
| 5 | Charlotte | 30 | 47 | - | - |
| 5 | Houston Dynamo | 30 | 47 | 0-0 (D) | - |
| 6 | Philadelphia Union | 30 | 46 | 2-1 (W) | 2-2 (D) |
| 6 | Los Angeles FC | 31 | 46 | - | - |
| 7 | Seattle Sounders | 30 | 42 | - | - |
| 7 | Orlando City | 30 | 41 | 31 Oct | 4-1 (L) |
| 8 | New York RB | 30 | 36 | 6-1 (W) | 0-2 (W) |
| 8 | LA Galaxy | 31 | 40 | - | 3-0 (L) |
| 9 | Colorado Rapids | 30 | 39 | - | - |
| 9 | Cincinnati | 28 | 36 | 2-2 (D) | 3-3 (D) |
| 10 | Toronto | 30 | 36 | 3-1 (W) | 3-3 (D) |
| 10 | Real Salt Lake | 30 | 36 | - | - |
| 11 | New York City | 30 | 34 | 0-1 (L) | 1-2 (W) |
| 11 | Portland Timbers | 30 | 34 | - | 25 Oct |
| 12 | DC United | 29 | 33 | 3-1 (W) | 1-2 (W) |
| 12 | San Diego | 30 | 34 | - | - |
| 13 | Minnesota United | 30 | 34 | - | - |
| 13 | Columbus Crew | 29 | 32 | 3-1 (W) | 3-1 (L) |
| 14 | Atlanta United | 30 | 30 | 2-2 (D) | 0-2 (W) |
| 14 | Austin | 30 | 31 | 3-1 (W) | - |
| 15 | CF Montréal | 30 | 25 | 28 Oct | 1-2 (W) |
| 15 | Sporting KC | 30 | 22 | - | - |
| # | Player | Position | Goals | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Idan Toklomati | attacker | 13 | 29 | 0.45 |
| 2 | Pep Biel | midfielder | 12 | 30 | 0.4 |
| 3 | Liel Abada | attacker | 5 | 23 | 0.22 |
| 4 | Ashley Westwood | midfielder | 3 | 27 | 0.11 |
| 5 | Wilfried Zaha | attacker | 3 | 13 | 0.23 |
| # | Player | Position | Assists | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 8 | 30 | 0.27 |
| 2 | Ashley Westwood | midfielder | 5 | 27 | 0.19 |
| 3 | Liel Abada | attacker | 5 | 23 | 0.22 |
| 4 | Allan Saint-Maximin | attacker | 4 | 12 | 0.33 |
| 5 | David Schnegg | defender | 4 | 20 | 0.2 |
| # | Player | Position | Shots | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 60 | 30 | 2 |
| 2 | Idan Toklomati | attacker | 46 | 29 | 1.59 |
| 3 | Liel Abada | attacker | 35 | 23 | 1.52 |
| 4 | Allan Saint-Maximin | attacker | 31 | 12 | 2.58 |
| 5 | Wilfried Zaha | attacker | 28 | 13 | 2.15 |
| # | Player | Position | Shots on target | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 23 | 30 | 0.77 |
| 2 | Idan Toklomati | attacker | 23 | 29 | 0.79 |
| 3 | Liel Abada | attacker | 21 | 23 | 0.91 |
| 4 | Wilfried Zaha | attacker | 14 | 13 | 1.08 |
| 5 | Allan Saint-Maximin | attacker | 12 | 12 | 1 |
| # | Player | Position | Fouls | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Djibril Diani | midfielder | 32 | 27 | 1.19 |
| 2 | Agyemang Morrison | defender | 24 | 23 | 1.04 |
| 3 | Wilfried Zaha | attacker | 23 | 13 | 1.77 |
| 4 | Pep Biel | midfielder | 23 | 30 | 0.77 |
| 5 | Brandt Bronico | midfielder | 23 | 25 | 0.92 |
| # | Player | Position | Tackles | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Djibril Diani | midfielder | 30 | 27 | 1.11 |
| 2 | Harry Toffolo | defender | 29 | 18 | 1.61 |
| 3 | Pep Biel | midfielder | 25 | 30 | 0.83 |
| 4 | Brandt Bronico | midfielder | 23 | 25 | 0.92 |
| 5 | Rodolfo Aloko | attacker | 23 | 19 | 1.21 |
| # | Player | Position | Fouls drawn | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Wilfried Zaha | attacker | 46 | 13 | 3.54 |
| 2 | Idan Toklomati | attacker | 35 | 29 | 1.21 |
| 3 | Pep Biel | midfielder | 25 | 30 | 0.83 |
| 4 | Nathan Byrne | defender | 24 | 26 | 0.92 |
| # | Player | Position | Yellow cards | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Ashley Westwood | midfielder | 10 | 27 | 0.37 |
| 2 | Wilfried Zaha | attacker | 7 | 13 | 0.54 |
| 3 | David Schnegg | defender | 7 | 20 | 0.35 |
| 4 | Djibril Diani | midfielder | 6 | 27 | 0.22 |
| 5 | Pep Biel | midfielder | 4 | 30 | 0.13 |
| # | Player | Position | Key passes | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Pep Biel | midfielder | 60 | 30 | 2 |
| 2 | Ashley Westwood | midfielder | 44 | 27 | 1.63 |
| 3 | Allan Saint-Maximin | attacker | 24 | 12 | 2 |
| 4 | Idan Toklomati | attacker | 24 | 29 | 0.83 |
| 5 | Wilfried Zaha | attacker | 22 | 13 | 1.69 |