
Girona operate as a defensively vulnerable side, conceding 1.59 xG per match whilst generating just 1.29 in attack—a profile that invites opposition pressure and limits their margin for error. Recent form has stalled with one win, two draws and two losses across five fixtures, reflecting inconsistency both in chance creation and defensive solidity. With no imminent fixture in the current window, the model remains positioned to capitalise when Girona return to action, particularly against sides capable of exploiting their structural weaknesses. Bawler's banker selections on Girona matches have converted at 60%, suggesting reliable tactical reads on their underlying performance patterns.
How to read this: the green bar shows the average goals Girona 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 Spain: La Liga average — if the bar extends past the diamond, Girona are above average there.
How to read this: the solid line is the goals Girona 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 Girona's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Girona fixture, the model lands 4 out of 6 (67%). Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on Girona fixtures by market type, so you can see where the model has the strongest read on this team. Higher hit rate = more reliable category for Girona matches.