Strasbourg
Strasbourg operate as a measured attacking unit with modest output (1.63 xG) but solid defensive foundations (1.36 xG conceded), reflecting a side that creates chances efficiently rather than dominating possession. Recent form reads well: five wins in nine fixtures, though the D-L sequence midweek suggests inconsistency remains a concern. With no immediate fixtures in the current window, the model waits on rescheduled Conference League play-offs to resume momentum. Bawler's 78% banker hit rate on Strasbourg matches provides confidence in model calibration across their fixture set.
How to read this: the green bar shows the average goals Strasbourg 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 EUROPE: Conference League - Play Offs average — if the bar extends past the diamond, Strasbourg are above average there.
How to read this: the solid line is the goals Strasbourg 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 Strasbourg's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Strasbourg fixture, the model lands 7 out of 9 (78%). 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 Strasbourg 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 Strasbourg matches.