
Sassuolo operate as a lower-volume attacking side with structural defensive fragility, averaging 1.09 xG for against 1.55 conceded per match. Recent form has been patchy—one win, one draw, two losses across the last four settled fixtures—suggesting inconsistency in converting chances and containing opponents. With no imminent fixtures in the prediction window, the model will update once forthcoming Serie A matchdays are confirmed. Bawler's banker selections on Sassuolo have converted at 50 per cent, reflecting the volatility inherent in their shot profile.
How to read this: the green bar shows the average goals Sassuolo 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, Sassuolo are above average there.
How to read this: the solid line is the goals Sassuolo 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 Sassuolo's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Sassuolo 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.
How to read this: each row groups settled Banker picks Bawler issued on Sassuolo 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 Sassuolo matches.