Parma
Parma present a concerning xG profile: they're both blunt in attack (0.93 xG per match) and structurally vulnerable at the back (1.54 conceded), a combination that has manifested in a ruinous recent run of one win from five settled fixtures. Their last four outings have all ended in defeat, suggesting structural issues rather than noise. With no immediate fixture in the prediction window, the focus remains on their underlying defensive fragility and need for attacking reinforcement. Bawler's 60% banker hit rate on Parma matches reflects the model's consistency in identifying their vulnerability patterns.
How to read this: the green bar shows the average goals Parma 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 Italy: Serie A average — if the bar extends past the diamond, Parma are above average there.
How to read this: the solid line is the goals Parma 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 Parma's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Parma fixture, the model lands 3 out of 6 (50%). 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.