Espanyol
Espanyol operate as a perfectly balanced proposition in La Liga, generating 1.40 xG per match whilst conceding 1.39—a near-symmetrical profile that suggests tight, competitive fixtures rather than dominant performances. Recent form shows volatility: two wins bookended by successive defeats across their last four settled matches, reflecting their fine margins. With no upcoming fixtures in the immediate window, the model's next reading will be crucial to establish whether they've stabilised or remain fragile. Bawler's bankers on Espanyol have landed at 75% over the sample, indicating reliable edges on their tightest plays.
How to read this: the green bar shows the average goals Espanyol 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, Espanyol are above average there.
How to read this: the solid line is the goals Espanyol 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 Espanyol's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Espanyol fixture, the model lands 4 out of 5 (80%). 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 Espanyol 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 Espanyol matches.