
Elche operate as a mid-table attacking side constrained by defensive fragility, averaging 1.29 xG for but 1.50 against—a profile that demands clinical finishing to compensate for structural leakiness. Recent form shows volatility across six settled fixtures, with three wins offset by two losses and a draw, suggesting inconsistency in converting their chances. Without upcoming fixtures in the immediate window, the model remains calibrated on their underlying metrics: their conversion efficiency will ultimately determine whether they can tighten their backline's exposure. Bawler's banker picks on Elche have landed at exactly 50% strike rate, warranting continued scrutiny of their shot quality data before staking.
How to read this: the green bar shows the average goals Elche 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, Elche are above average there.
How to read this: the solid line is the goals Elche 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 Elche's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Elche fixture, the model lands 4 out of 7 (57%). Every pick is logged before kickoff and settled publicly.