Brighton
Brighton operate as a measured, possession-based side—creating roughly 1.57 xG per match while conceding 1.33—which reflects a team comfortable controlling play but lacking clinical edge in the final third. Recent form has been volatile, with two losses sandwiching a draw and two wins across their last five, suggesting inconsistency in converting their underlying chances. Without a fixture in the immediate window, model activity will be limited, though Bawler's 80% hit rate on Brighton banker picks indicates strong predictive grip on their matches when selections do emerge.
How to read this: the green bar shows the average goals Brighton 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, Brighton are above average there.
How to read this: the solid line is the goals Brighton 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 Brighton's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Brighton fixture, the model lands 5 out of 6 (83%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.