Angers
Angers operate as a defensively fragile outfit, conceding 1.54 xG per match whilst mustering just 1.08 in attack—a profile that leaves them vulnerable to clinical opponents. Their recent form underscores this vulnerability: four draws and two losses across six fixtures suggest a side struggling to impose themselves or secure results. With no upcoming fixtures in the immediate window, the model's next read will prove instructive; Bawler's perfect 100% banker hit rate on Angers matches warrants close attention to any flagged opportunities when their schedule resumes.
How to read this: the green bar shows the average goals Angers 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, Angers are above average there.
How to read this: the solid line is the goals Angers 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 Angers's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Angers fixture, the model lands 6 out of 6 (100%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.