Racing Genk operate as a moderately attacking side with an xG profile that leans slightly positive—1.97 scored against 1.58 conceded suggests clinical finishing paired with a porous defence. Recent form has stalled into draws, with just one win from three settled fixtures, indicating inconsistency in converting chances when it matters. With no upcoming fixtures in the immediate window, the focus remains on understanding their underlying performance metrics; Bawler's model has captured only one of three banker opportunities on Genk matches, suggesting the team's volatility requires careful fixture selection rather than blind backing.
How to read this: the green bar shows the average goals Racing Genk 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, Racing Genk are above average there.
How to read this: the solid line is the goals Racing Genk 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 Racing Genk's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Racing Genk fixture, the model lands 3 out of 5 (60%). Every pick is logged before kickoff and settled publicly.