
Werder Bremen operate as a marginally underperforming attack paired with a leaky defence, conceding 1.62 xG per match against their 1.50 scored—a profile that suggests vulnerability in both boxes. Recent form has stuttered noticeably, with two losses in their last five fixtures sandwiching an inconsistent run that offers little momentum heading forward. With no fixture scheduled in the immediate window, focus shifts to how the model recalibrates Bremen's volatility; Bawler's banker picks have converted at 60% on their matches, a respectable baseline for future selections.
How to read this: the green bar shows the average goals Werder Bremen 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 GERMANY: Bundesliga average — if the bar extends past the diamond, Werder Bremen are above average there.
How to read this: the solid line is the goals Werder Bremen 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 Werder Bremen's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Werder Bremen fixture, the model lands 3 out of 5 (60%). Every pick is logged before kickoff and settled publicly.