D.C. United operate as a defensively fragile outfit, conceding 1.24 expected goals per match whilst mustering only 1.09 in attack—a profile that leaves little margin for error. Recent form reflects this vulnerability: one win, three draws and two losses across the last six settled fixtures signals inconsistency compounded by an inability to convert chances when they arrive. With no imminent fixture in the current window, the model's focus remains on their structural xG imbalance and the fixture difficulty ahead. Bawler's banker selections on D.C. United have converted at exactly 50 per cent, reflecting the unpredictability baked into their underlying metrics.
How to read this: the green bar shows the average goals D.C. United 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 USA: MLS average — if the bar extends past the diamond, D.C. United are above average there.
How to read this: the solid line is the goals D.C. United 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 D.C. United's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a D.C. United fixture, the model lands 4 out of 7 (57%). Every pick is logged before kickoff and settled publicly.