Alavés operate as a pragmatic, defensively-minded outfit, conceding 1.52 xG per match whilst generating just 1.33 at the other end—a profile suited to low-scoring affairs and set-piece exploitation. Their recent form reads encouragingly, posting three wins across five settled fixtures with just one defeat absent entirely, though the last two outings stalled in draws. With no imminent fixture on the horizon, the model's medium-term view hinges on fixture congestion post-break; Bawler's banker selections have landed at a solid 60% clip on Alavés matches, suggesting reliable value capture in their defensive resilience.
How to read this: the green bar shows the average goals Alavés 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, Alavés are above average there.
How to read this: the solid line is the goals Alavés 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 Alavés's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Alavés fixture, the model lands 4 out of 6 (67%). Every pick is logged before kickoff and settled publicly.
How to read this: each row groups settled Banker picks Bawler issued on Alavés 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 Alavés matches.