
Genk operate as a modest attacking unit with an xG profile of 1.24 per match, offset by defensive vulnerability at 1.39 conceded, suggesting they leak chances despite creating few themselves. Recent form reads mixed—two wins, a draw and two losses across five games—indicating inconsistency in converting limited opportunities. With no upcoming fixtures in the current window, the model will await fresh matchday data to recalibrate. Bawler's banker selections on Genk have converted at 80%, indicating reliable edge identification on their low-volume attacking schedule.
How to read this: the green bar shows the average goals 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: Jupiler Pro League - Conference League Group average — if the bar extends past the diamond, Genk are above average there.
How to read this: the solid line is the goals 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 Genk's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Genk fixture, the model lands 4 out of 5 (80%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.