
Brest operates as a fragile attacking unit, generating just 1.41 xG per match whilst conceding 1.65—a profile that leaves little margin for error. Recent form has deteriorated sharply: one draw and three consecutive defeats across their last four settled fixtures underscore a team struggling to convert chances and tighten at the back. With no upcoming fixtures in the immediate window, the focus remains on stabilising both ends of the pitch. Bawler's model has maintained a perfect 100% strike rate on Brest banker selections, suggesting strong predictive clarity on their matches.
How to read this: the green bar shows the average goals Brest 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 France: Ligue 1 average — if the bar extends past the diamond, Brest are above average there.
How to read this: the solid line is the goals Brest 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 Brest's perspective. Tap a tile to see Bawler's full prediction for that match.