
Seattle Sounders are a marginally efficient attacking side with modest underlying numbers: 1.38 xG per match places them in the middle tier of MLS creation, while a 1.24 xG conceded suggests a defence that's reasonably organised without being elite. Their recent record—three wins, three draws and a loss across seven matches—reflects that consistency without explosive form. With no immediate fixtures to analyse, focus should remain on whether they can tighten their attacking efficiency; Bawler's banker selections on Sounders have converted at 43% historically, indicating moderate predictability in their price markets.
How to read this: the green bar shows the average goals Seattle Sounders were expected to score per match (their xG output). The red bar shows what opponents are expected to score against them. The diamond on each bar marks the USA: MLS average — if the bar extends past the diamond, Seattle Sounders are above average there.
How to read this: the solid line is the goals Seattle Sounders actually scored each match. The dashed line is the goals the model expected them to score (xG). When the solid line is above the dashed, they overperformed — they finished better than the chances they created suggested. When it's below, they underperformed. Persistent underperformance often regresses; a one-off gap usually doesn't.
How to read this: each tile is one settled match, most recent first. Green = win, amber = draw, red = loss. Numbers show the actual scoreline from Seattle Sounders's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Seattle Sounders fixture, the model lands 3 out of 7 (43%). This sits below the cross-league baseline — the model finds this team harder to read than most. Every pick is logged before kickoff and settled publicly.