
Sunderland's underlying profile reveals a side caught between ambition and fragility: they're creating chances at a reasonable clip (1.15 xG per match) but conceding at an alarming rate (1.46), suggesting their recent four-game unbeaten run masks defensive vulnerabilities. Form has steadied with two wins and two draws, yet the xG data indicates they're defending deeper than their results suggest they should be. With no immediate fixtures scheduled, the model remains poised to exploit their next opponent selection based on whether Sunderland face a team capable of exposing that leaky backline. Bawler's bankers have landed at exactly evens on their matches to date, warranting cautious calibration as the fixture list develops.
How to read this: the green bar shows the average goals Sunderland 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 England: Premier League average — if the bar extends past the diamond, Sunderland are above average there.
How to read this: the solid line is the goals Sunderland 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 Sunderland's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Sunderland 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.