
Bologna operate as a tightly-matched midfield side, averaging 1.23 xG per match against 1.30 conceded—a profile that suggests marginal attacking output paired with susceptibility at the back. Recent form reads mixed across seven settled fixtures (3W-1D-3L), though the most recent two matches show momentum with consecutive wins. With no immediate fixture in the analysis window, the model's 57% banker hit rate on Bologna matches reflects the team's consistent tendency to generate close, decided encounters where Poisson-based pricing finds reliable value.
How to read this: the green bar shows the average goals Bologna 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, Bologna are above average there.
How to read this: the solid line is the goals Bologna 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 Bologna's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Bologna fixture, the model lands 5 out of 8 (63%). Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on Bologna 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 Bologna matches.