Seattle are currently 7th in the Major League Soccer after 28 games in 2026, with recent form reading D W W W W. They are averaging 1.4 goals per game this season while conceding 1.3. With 50.8% average possession and 482.2 passes per game, Seattle are one of the balanced sides in the division.
Seattle are generating 13.5 shots per game in 2026, with 5 on target - a shot accuracy of 37%. They have scored in 75% of Major League Soccer games this season, with over 2.5 goals (either team) occurring in 46% of matches. Both teams have scored in 57% of Seattle's games, and they have kept 29% clean sheets.
Defensively, Seattle average 14.4 tackles and 10.3 fouls committed per game. They pick up 1.7 yellow cards per match on average - use the stat breakdown pages in the left sidebar to explore which players are driving those numbers. Seattle's goals against average of 1.3 per game suggests a solid if inconsistent defensive record.
Seattle's season averages provide a useful baseline across several popular bet builder markets. At 5.3 corners per game, corner total lines are worth assessing against the opposition average. Their 46% over 2.5 goals rate and 57% 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 Seattle's next fixture against Dallas on 15.10.2026.
Seattle's home and away form has been strongly contrasting so far in 2026. Across 14 home games they've averaged 1.64 goals scored and 1.43 conceded per match, with both teams scoring in 64% of fixtures. On the road, they've averaged 1.07 scored and 1.07 conceded across 14 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.
Seattle are averaging 1.46 xG for and 1.49 xG against per game in 2026 — an xG difference of -0.03. Their 1.4 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 1.63 xG for and 1.53 xG against across their last ten games — useful context for shot-based and team-total Bet Builder markets.
Seattle currently sit 7 of 30 in the Major League Soccer table. For headline Bet Builder stats they rank 11 of 30 for shots, 23 for tackles and 26 for fouls — useful context when comparing their lines to the league baseline. They sit bottom-five in fouls, worth flagging on opposing Bet Builder markets.
Seattle average 1.4 goals per Major League Soccer game in 2026 across 28 matches, conceding 1.3 per game.
Seattle's last five results are D W W W W. They are currently 7th in the Major League Soccer after 28 games this season.
Seattle average 13.5 shots per game in 2026, with 5 on target - a shot accuracy of 37%.
Seattle average 5.3 corners, 14.4 tackles, 10.3 fouls and 1.7 yellow cards per game in 2026. Over 2.5 goals has landed in 46% of their Major League Soccer games, BTTS in 57%. 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 Seattle'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 | 28 | 11 | 8 | 9 | 38 | 35 | +3 | 41 | 1.46 | 57% | 46% | 29% |
| Home | 14 | 7 | 3 | 4 | 23 | 20 | +3 | 24 | 1.71 | 64% | 57% | 21% |
| Away | 14 | 4 | 5 | 5 | 15 | 15 | 0 | 17 | 1.21 | 50% | 36% | 36% |
| Pos | Team | P | Pts | Seattle home | Seattle away |
|---|---|---|---|---|---|
| 1 | Nashville SC | 28 | 63 | - | - |
| 1 | Vancouver Whitecaps | 28 | 51 | 0-2 (L) | 1 Nov |
| 2 | St. Louis City | 28 | 50 | 4-1 (W) | 0-1 (W) |
| 2 | Inter Miami | 28 | 49 | - | - |
| 3 | Chicago Fire | 28 | 48 | 2-2 (D) | - |
| 3 | Dallas | 28 | 47 | 2-1 (W) | 15 Oct |
| 4 | New England | 28 | 46 | - | 0-3 (W) |
| 4 | SJ Earthquakes | 28 | 46 | 3-2 (W) | 0-1 (W) |
| 5 | Charlotte | 28 | 46 | - | - |
| 5 | Houston Dynamo | 28 | 45 | 29 Oct | 0-1 (W) |
| 6 | Los Angeles FC | 29 | 42 | 8 Nov | 1-0 (L) |
| 6 | Philadelphia Union | 28 | 42 | - | 1-0 (L) |
| 7 | Orlando City | 28 | 37 | - | - |
| 7 | Seattle Sounders | 28 | 41 | - | - |
| 8 | New York RB | 28 | 36 | 0-0 (D) | - |
| 8 | Colorado Rapids | 28 | 37 | 2-0 (W) | 3-3 (D) |
| 9 | LA Galaxy | 29 | 36 | 0-2 (L) | 1-1 (D) |
| 9 | Cincinnati | 27 | 36 | - | 1-1 (D) |
| 10 | Portland Timbers | 28 | 33 | 1-5 (L) | 2-1 (L) |
| 10 | New York City | 28 | 33 | - | - |
| 11 | Toronto | 28 | 32 | - | - |
| 11 | Real Salt Lake | 28 | 32 | 2-0 (W) | 2-1 (L) |
| 12 | DC United | 27 | 30 | - | - |
| 12 | San Diego | 28 | 32 | 1-1 (D) | 25 Oct |
| 13 | Columbus Crew | 28 | 29 | - | - |
| 13 | Austin | 28 | 31 | 1-2 (L) | 3-1 (L) |
| 14 | Atlanta United | 28 | 27 | - | - |
| 14 | Minnesota United | 28 | 30 | 3-1 (W) | 0-0 (D) |
| 15 | CF Montréal | 28 | 24 | 18 Oct | - |
| 15 | Sporting KC | 28 | 22 | 2-1 (W) | 1-1 (D) |
| # | Player | Position | Goals | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Cristian Roldán | midfielder | 6 | 23 | 0.26 |
| 2 | Albert Rusnák | midfielder | 5 | 30 | 0.17 |
| 3 | Paul Rothrock | attacker | 5 | 25 | 0.2 |
| 4 | H. Dotson | midfielder | 4 | 20 | 0.2 |
| # | Player | Position | Assists | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Albert Rusnák | midfielder | 11 | 30 | 0.37 |
| 2 | Jesús Ferreira | attacker | 5 | 22 | 0.23 |
| 3 | Jordan Morris | attacker | 4 | 20 | 0.2 |
| 4 | Paul Arriola | attacker | 3 | 19 | 0.16 |
| 5 | Paul Rothrock | attacker | 2 | 25 | 0.08 |
| # | Player | Position | Shots | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Albert Rusnák | midfielder | 62 | 30 | 2.07 |
| 2 | Cristian Roldán | midfielder | 36 | 23 | 1.57 |
| 3 | Paul Rothrock | attacker | 33 | 25 | 1.32 |
| 4 | Danny Musovski | attacker | 29 | 25 | 1.16 |
| 5 | Jordan Morris | attacker | 28 | 20 | 1.4 |
| # | Player | Position | Shots on target | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Albert Rusnák | midfielder | 22 | 30 | 0.73 |
| 2 | Jordan Morris | attacker | 15 | 20 | 0.75 |
| 3 | Danny Musovski | attacker | 14 | 25 | 0.56 |
| 4 | Paul Rothrock | attacker | 13 | 25 | 0.52 |
| 5 | Cristian Roldán | midfielder | 11 | 23 | 0.48 |
| # | Player | Position | Fouls | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Paul Rothrock | attacker | 45 | 25 | 1.8 |
| 2 | Cristian Roldán | midfielder | 25 | 23 | 1.09 |
| 3 | Nouhou | defender | 25 | 30 | 0.83 |
| 4 | Peter Kingston | midfielder | 22 | 21 | 1.05 |
| 5 | Snyder Brunell | midfielder | 22 | 27 | 0.81 |
| # | Player | Position | Tackles | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Cristian Roldán | midfielder | 47 | 23 | 2.04 |
| 2 | Nouhou | defender | 46 | 30 | 1.53 |
| 3 | Kalani Kossa-Rienzi | defender | 41 | 28 | 1.46 |
| 4 | Álex Roldán | defender | 36 | 26 | 1.38 |
| 5 | Snyder Brunell | midfielder | 32 | 27 | 1.19 |
| # | Player | Position | Fouls drawn | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Paul Rothrock | attacker | 40 | 25 | 1.6 |
| 2 | Nouhou | defender | 34 | 30 | 1.13 |
| 3 | Cristian Roldán | midfielder | 27 | 23 | 1.17 |
| 4 | Álex Roldán | defender | 23 | 26 | 0.88 |
| 5 | H. Dotson | midfielder | 19 | 20 | 0.95 |
| # | Player | Position | Yellow cards | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Jackson Ragen | defender | 7 | 24 | 0.29 |
| 2 | Peter Kingston | midfielder | 7 | 21 | 0.33 |
| 3 | H. Dotson | midfielder | 7 | 20 | 0.35 |
| 4 | Paul Rothrock | attacker | 5 | 25 | 0.2 |
| 5 | Nouhou | defender | 4 | 30 | 0.13 |
| # | Player | Position | Key passes | Apps | Per game |
|---|---|---|---|---|---|
| 1 | Albert Rusnák | midfielder | 80 | 30 | 2.67 |
| 2 | Jesús Ferreira | attacker | 37 | 22 | 1.68 |
| 3 | Jordan Morris | attacker | 26 | 20 | 1.3 |
| 4 | Paul Rothrock | attacker | 25 | 25 | 1 |
| 5 | Kalani Kossa-Rienzi | defender | 21 | 28 | 0.75 |