Napoli
Napoli operate as a measured attacking side with an xG profile tilted towards efficiency rather than volume—generating 1.42 goals per match whilst conceding just 1.05—suggesting a team built on clinical finishing and defensive discipline. Recent form shows volatility: three wins in five, punctuated by two losses that hint at inconsistency when control lapses. With no fixtures immediately upcoming, the model's next opportunity to assess their trajectory arrives at the window's conclusion. Bawler's banker accuracy on Napoli sits at 40%, indicating the club presents selections that reward selective rather than routine backing.
How to read this: the green bar shows the average goals Napoli 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, Napoli are above average there.
How to read this: the solid line is the goals Napoli 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 Napoli's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Napoli fixture, the model lands 2 out of 6 (33%). 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.
How to read this: each row groups settled Banker picks Bawler issued on Napoli 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 Napoli matches.