Villarreal
Villarreal remain a modest attacking force with an xG profile of 1.65 per match, underpinned by clinical finishing rather than volume creation, whilst their defence is reasonably stout at 1.28 conceded. Recent form has deteriorated markedly—three losses in their last six matches—though the underlying metrics suggest a team capable of competing in tight contests. With no fixtures currently in the modelling window, attention turns to upcoming assignments where Bawler's Poisson framework has delivered a 67% hit rate on Banker selections, indicating strong predictive edge on Villarreal's closed-game scenarios.
How to read this: the green bar shows the average goals Villarreal 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 Spain: La Liga average — if the bar extends past the diamond, Villarreal are above average there.
How to read this: the solid line is the goals Villarreal 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 Villarreal's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Villarreal fixture, the model lands 5 out of 7 (71%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on Villarreal 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 Villarreal matches.