Dortmund
Dortmund operate as a genuinely clinical attacking unit, converting 1.86 expected goals per match whilst remaining reasonably composed defensively at 1.33 conceded—a profile that rewards backing their offensive output. Recent form has been emphatic: four wins in five settled fixtures demonstrates sustained control, with only one defeat disrupting an otherwise dominant run. With no upcoming fixtures in the immediate window, their next opportunity will arrive in standard fixture scheduling. Bawler's banker selections on Dortmund have maintained a perfect 100% conversion rate across five picks, establishing a rare and notable edge on this opponent.
How to read this: the green bar shows the average goals Dortmund 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 GERMANY: Bundesliga average — if the bar extends past the diamond, Dortmund are above average there.
How to read this: the solid line is the goals Dortmund 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 Dortmund's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Dortmund fixture, the model lands 5 out of 5 (100%). 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 Dortmund 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 Dortmund matches.