Atalanta
Atalanta operate as a controlled attacking unit, generating 1.40 xG per match whilst maintaining a respectable defensive line at 1.19 conceded—suggesting clinical finishing rather than volume creation. Recent form shows solidity with three wins, a draw and a loss across five settled matches, indicating consistency without dominance. With no upcoming fixtures currently in the analysis window, the model will update once fresh matchdays are scheduled. Bawler's banker selections on Atalanta have delivered at 80% hit rate, validating the underlying Poisson framework for this side's next assignment.
How to read this: the green bar shows the average goals Atalanta 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, Atalanta are above average there.
How to read this: the solid line is the goals Atalanta 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 Atalanta's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Atalanta fixture, the model lands 5 out of 6 (83%). 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 Atalanta 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 Atalanta matches.