Juventus
Juventus operate as a controlled attacking unit, generating 1.72 xG per match while maintaining a disciplined defensive shape that concedes just 1.01. Recent form shows stability rather than momentum—two wins bookended by three draws in their last six—suggesting a team that grinds results without explosive performance. With no immediate fixture scheduled, the model continues to favour their underlying structure: Bawler's Banker picks have landed at 83% accuracy on Juventus matches, indicating the Poisson framework reliably identifies their lower-variance, efficiency-based threat profile.
How to read this: the green bar shows the average goals Juventus 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 ITALY: Serie A average — if the bar extends past the diamond, Juventus are above average there.
How to read this: the solid line is the goals Juventus 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 Juventus's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Juventus fixture, the model lands 6 out of 7 (86%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.