Blackburn operate as a perfectly balanced side on xG metrics, generating 1.21 goals per match whilst conceding 1.19—a profile that yields tight, low-scoring contests. Recent form has been characterised by stasis rather than momentum, with three draws across their last five matches yielding just one win and one loss. With no fixtures currently scheduled in the prediction window, the model will await fresh matchdays to resume analysis. Bawler's banker selections on Blackburn have hit at a respectable 60% clip, suggesting the xG model captures the team's true competitive level reliably.
How to read this: the green bar shows the average goals Blackburn 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: Championship average — if the bar extends past the diamond, Blackburn are above average there.
How to read this: the solid line is the goals Blackburn 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 Blackburn's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Blackburn fixture, the model lands 3 out of 5 (60%). Every pick is logged before kickoff and settled publicly.