
Nice operate as a blunt attacking force—1.31 xG per match—but their defensive fragility (1.77 xG conceded) has left them winless in five, alternating between draws and defeats. Form is stalled rather than collapsing, though the lack of victories is concerning for a side that needs momentum. Their trip to Lens in the Coupe de France presents a difficult proposition; the model assigns just 20% win probability, reflecting both Nice's inconsistency and Lens's home advantage. Bawler's recent banker picks on Nice sit at 40% accuracy, suggesting caution when backing the side's attacking intent without defensive cover.
How to read this: the green bar shows the average goals Nice 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, Nice are above average there.
How to read this: the solid line is the goals Nice 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 Nice's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Nice fixture, the model lands 2 out of 5 (40%). 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.