St. Louis are currently 2nd in the Major League Soccer after 30 games in 2026, with recent form reading W W W D L. They are averaging 1.9 goals per game this season while conceding 1.4. With 52.6% average possession and 484.6 passes per game, St. Louis are one of the balanced sides in the division.
St. Louis are generating 13.6 shots per game in 2026, with 5 on target - a shot accuracy of 36.8%. They have scored in 87% of Major League Soccer games this season, with over 2.5 goals (either team) occurring in 57% of matches. Both teams have scored in 70% of St. Louis's games, and they have kept 17% clean sheets.
Defensively, St. Louis average 16.1 tackles and 14 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. St. Louis's goals against average of 1.4 per game is among the best in the division.
St. Louis's season averages provide a useful baseline across several popular bet builder markets. At 5.4 corners per game, corner total lines are worth assessing against the opposition average. Their 57% 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 St. Louis's next fixture against Real Salt Lake on 25.10.2026.
St. Louis's home and away form has been strongly contrasting so far in 2026. Across 15 home games they've averaged 2.27 goals scored and 1.27 conceded per match, with both teams scoring in 73% of fixtures. On the road, they've averaged 1.47 scored and 1.47 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.
St. Louis are averaging 1.57 xG for and 1.27 xG against per game in 2026 — an xG difference of +0.3. Their 1.9 actual goals per game sits above expected output, pointing to strong finishing and reflecting clinical finishing above expected output. Recent form shows an stable trend, with 1.68 xG for and 1.43 xG against across their last ten games — useful context for shot-based and team-total Bet Builder markets.
St. Louis currently sit 2 of 30 in the Major League Soccer table. For headline Bet Builder stats they rank 12 of 30 for shots, 4 for tackles and 3 for fouls — useful context when comparing their lines to the league baseline. Their fouls output ranks among the top three in the competition, a strong tailwind for related Bet Builder markets.
St. Louis average 1.9 goals per Major League Soccer game in 2026 across 30 matches, conceding 1.4 per game.
St. Louis's last five results are W W W D L. They are currently 2nd in the Major League Soccer after 30 games this season.
St. Louis average 13.6 shots per game in 2026, with 5 on target - a shot accuracy of 36.8%.
St. Louis average 5.4 corners, 16.1 tackles, 14 fouls and 2.1 yellow cards per game in 2026. Over 2.5 goals has landed in 57% 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 St. Louis'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 | 9 | 7 | 56 | 41 | +15 | 51 | 1.7 | 70% | 57% | 17% |
| Home | 15 | 9 | 4 | 2 | 34 | 19 | +15 | 31 | 2.07 | 73% | 67% | 20% |
| Away | 15 | 5 | 5 | 5 | 22 | 22 | 0 | 20 | 1.33 | 67% | 47% | 13% |
| Pos | Team | P | Pts | St. Louis home | St. Louis away |
|---|---|---|---|---|---|
| 1 | Vancouver Whitecaps | 30 | 55 | 0-0 (D) | 1-3 (W) |
| 1 | Nashville SC | 30 | 67 | - | - |
| 2 | St. Louis City | 30 | 51 | - | - |
| 2 | Inter Miami | 30 | 55 | - | - |
| 3 | New England | 30 | 52 | 3-1 (W) | - |
| 3 | Dallas | 30 | 51 | 3-3 (D) | 1-1 (D) |
| 4 | Chicago Fire | 30 | 48 | - | - |
| 4 | SJ Earthquakes | 30 | 48 | 2-3 (L) | 1-3 (W) |
| 5 | Charlotte | 30 | 47 | 1-1 (D) | - |
| 5 | Houston Dynamo | 30 | 47 | 2-1 (W) | 8 Nov |
| 6 | Philadelphia Union | 30 | 46 | - | - |
| 6 | Los Angeles FC | 31 | 46 | 2-1 (W) | 2-0 (L) |
| 7 | Seattle Sounders | 30 | 42 | 0-1 (L) | 4-1 (L) |
| 7 | Orlando City | 30 | 41 | - | - |
| 8 | New York RB | 30 | 36 | - | 0-3 (W) |
| 8 | LA Galaxy | 31 | 40 | 6-2 (W) | 1-3 (W) |
| 9 | Colorado Rapids | 30 | 39 | 1-0 (W) | 0-1 (W) |
| 9 | Cincinnati | 28 | 36 | - | - |
| 10 | Toronto | 30 | 36 | 3-1 (W) | - |
| 10 | Real Salt Lake | 30 | 36 | 1-1 (D) | 25 Oct |
| 11 | New York City | 30 | 34 | - | 1-1 (D) |
| 11 | Portland Timbers | 30 | 34 | 29 Oct | 2-2 (D) |
| 12 | DC United | 29 | 33 | - | 1-1 (D) |
| 12 | San Diego | 30 | 34 | 31 Oct | 2-0 (L) |
| 13 | Minnesota United | 30 | 34 | 4-2 (W) | 3-2 (L) |
| 13 | Columbus Crew | 29 | 32 | - | - |
| 14 | Atlanta United | 30 | 30 | - | - |
| 14 | Austin | 30 | 31 | 3-0 (W) | 2-0 (L) |
| 15 | CF Montréal | 30 | 25 | - | - |
| 15 | Sporting KC | 30 | 22 | 3-2 (W) | 1-1 (D) |
| # | Player | Position | Goals | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Simon Becher | attacker | 9 | 30 | 0.3 |
| 2 | Rafael Navarro | attacker | 8 | 8 | 1 |
| 3 | Carlo Holse | midfielder | 6 | 11 | 0.55 |
| 4 | Daniel Ethan Edelman | midfielder | 4 | 29 | 0.14 |
| # | Player | Position | Assists | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Alexandru Mățan | midfielder | 6 | 12 | 0.5 |
| 2 | Conrad Wallem | midfielder | 5 | 25 | 0.2 |
| 3 | Tomas Totland | defender | 4 | 26 | 0.15 |
| 4 | Simon Becher | attacker | 4 | 30 | 0.13 |
| # | Player | Position | Shots | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Simon Becher | attacker | 69 | 30 | 2.3 |
| 2 | Carlo Holse | midfielder | 24 | 11 | 2.18 |
| 3 | Conrad Wallem | midfielder | 24 | 25 | 0.96 |
| 4 | Sang-bin Jeong | attacker | 21 | 22 | 0.95 |
| # | Player | Position | Shots on target | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Simon Becher | attacker | 28 | 30 | 0.93 |
| 2 | Carlo Holse | midfielder | 12 | 11 | 1.09 |
| 3 | Rafael Navarro | attacker | 12 | 8 | 1.5 |
| 4 | Rafael Santos | defender | 9 | 18 | 0.5 |
| # | Player | Position | Fouls | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Conrad Wallem | midfielder | 56 | 25 | 2.24 |
| 2 | Chris Durkin | midfielder | 48 | 26 | 1.85 |
| 3 | Simon Becher | attacker | 43 | 30 | 1.43 |
| 4 | Jaziel Orozco | defender | 30 | 21 | 1.43 |
| 5 | Tomas Totland | defender | 28 | 26 | 1.08 |
| # | Player | Position | Tackles | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Dante Polvara | midfielder | 55 | 30 | 1.83 |
| 2 | Chris Durkin | midfielder | 53 | 26 | 2.04 |
| 3 | Timo Baumgartl | defender | 43 | 30 | 1.43 |
| 4 | Conrad Wallem | midfielder | 41 | 25 | 1.64 |
| 5 | Jaziel Orozco | defender | 40 | 21 | 1.9 |
| # | Player | Position | Fouls drawn | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Simon Becher | attacker | 41 | 30 | 1.37 |
| 2 | Daniel Ethan Edelman | midfielder | 34 | 29 | 1.17 |
| 3 | Chris Durkin | midfielder | 32 | 26 | 1.23 |
| 4 | Dante Polvara | midfielder | 26 | 30 | 0.87 |
| 5 | Timo Baumgartl | defender | 24 | 30 | 0.8 |
| # | Player | Position | Yellow cards | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Chris Durkin | midfielder | 11 | 26 | 0.42 |
| 2 | Conrad Wallem | midfielder | 7 | 25 | 0.28 |
| 3 | Tomas Totland | defender | 4 | 26 | 0.15 |
| 4 | Jaziel Orozco | defender | 4 | 21 | 0.19 |
| 5 | Dante Polvara | midfielder | 4 | 30 | 0.13 |
| # | Player | Position | Key passes | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Conrad Wallem | midfielder | 41 | 25 | 1.64 |
| 2 | Tomas Totland | defender | 25 | 26 | 0.96 |
| 3 | Simon Becher | attacker | 24 | 30 | 0.8 |
| 4 | Daniel Ethan Edelman | midfielder | 24 | 29 | 0.83 |