
Udinese operate as a balanced but profligate unit, creating marginally more than they concede (1.21 xG for vs 1.25 against) yet converting with notable inefficiency that masks underlying solidity. Recent form has been choppy—two wins bookended by losses and a draw across five matches—leaving them mid-table volatile rather than directional. With no immediate fixture scheduled, the model will recalibrate as the next opponent crystallises. Bawler's recent banker selections on Udinese have landed at 40%, suggesting the xG profile alone warrants caution on heavily weighted plays.
How to read this: the green bar shows the average goals Udinese 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, Udinese are above average there.
How to read this: the solid line is the goals Udinese 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 Udinese's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Udinese 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 Udinese 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 Udinese matches.