Antwerp operate as a clinically blunt unit, scoring 1.42 xG per match whilst conceding 1.45—a tight differential that demands efficiency in both boxes. Recent form has been poor, yielding just one win across five settled fixtures with three losses sandwiched between draws, suggesting structural issues beyond chance. With no fixtures currently scheduled in our prediction window, the model awaits their next outing to reassess. Bawler's track record on Antwerp remains modest at 40% banker accuracy, reflecting the difficulty in forecasting a side caught between competitive ambition and inconsistent execution.
How to read this: the green bar shows the average goals Antwerp 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 Belgium: Pro League average — if the bar extends past the diamond, Antwerp are above average there.
How to read this: the solid line is the goals Antwerp 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 Antwerp's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Antwerp 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.
How to read this: each row groups settled Banker picks Bawler issued on Antwerp 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 Antwerp matches.