PSG
PSG remain a sharp attacking unit with an xG profile of 2.03 per match, though their 1.24 conceded suggests defensive vulnerabilities persist. Recent form has been largely positive across seven settled fixtures, though the isolated loss and draw hint at inconsistency despite a 5-1-1 record. With no immediate fixture in the window, focus turns to their next assignment, where the model will recalibrate based on opponent profile and venue. Bawler's Banker selections have landed in 71% of PSG matches, offering reliable early guidance for the season ahead.
How to read this: the green bar shows the average goals PSG 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 France: Ligue 1 average — if the bar extends past the diamond, PSG are above average there.
How to read this: the solid line is the goals PSG 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 PSG's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a PSG fixture, the model lands 6 out of 8 (75%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on PSG 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 PSG matches.