Toronto
Toronto's underlying profile reveals a team caught between defensive fragility and anaemic attack. They're surrendering 1.47 xG per match whilst generating just 1.11, a gap that explains their recent wobble: one win, two draws, and two losses across five games. With no fixtures in the immediate window, the focus remains on their structural imbalance—one that demands either clinical efficiency or defensive reinforcement to shift momentum. Bawler's Banker picks have landed at 80% on Toronto matches, suggesting reliable read on their vulnerabilities.
How to read this: the green bar shows the average goals Toronto 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, Toronto are above average there.
How to read this: the solid line is the goals Toronto 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 Toronto's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Toronto fixture, the model lands 5 out of 6 (83%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.