Leeds
Leeds operate as a controlled attacking side with modest output (1.61 xG per match) offset by a relatively stable defence (1.30 xGa), suggesting a team built on efficiency rather than dominance. Recent form has been strong, recording four wins across their last seven league fixtures with only one defeat, though the occasional draw hints at inconsistency in converting chances. With no immediate fixture in the prediction window, the focus remains on identifying value in their next assignment once scheduled. Bawler's model has proven reliable on Leeds' matches, delivering a 71% hit rate on banker selections, suggesting our Poisson framework captures their underlying structure well.
How to read this: the green bar shows the average goals Leeds 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, Leeds are above average there.
How to read this: the solid line is the goals Leeds 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 Leeds's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Leeds fixture, the model lands 5 out of 8 (63%). Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on Leeds 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 Leeds matches.