Mallorca
Mallorca operate as a pragmatic, low-volume attacking side struggling to convert limited chances, whilst their defence has proven vulnerable to sustained pressure, conceding 1.55 expected goals per match. Recent form reads poorly—one draw across their last four settled fixtures masks deeper issues, with three losses suggesting both structural and clinical shortcomings. With no immediate fixture in the modelling window, Bawler's perfect banker hit rate on Mallorca matches (4/4) positions the model favourably for their next fixture release, where the xG profile should drive clear edges.
How to read this: the green bar shows the average goals Mallorca 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, Mallorca are above average there.
How to read this: the solid line is the goals Mallorca 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 Mallorca's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Mallorca fixture, the model lands 5 out of 5 (100%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.