
CF Montréal operate as a nearly balanced side in expected goals terms, posting 1.44 scored against 1.40 conceded, yet their underlying numbers belie a concerning recent run of one win, one draw and three losses across five matches. The squad shows marginal attacking potency coupled with modest defensive solidity—neither strength nor weakness carries decisive edge. With no immediate fixture in the prediction window, focus shifts to medium-term season trajectory; notably, Bawler's banker selections on Montréal have maintained a perfect 5-from-5 hit rate, suggesting the model's xG calibration on this team warrants close attention when matches resume.
How to read this: the green bar shows the average goals CF Montréal 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, CF Montréal are above average there.
How to read this: the solid line is the goals CF Montréal 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 CF Montréal's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a CF Montréal fixture, the model lands 6 out of 6 (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 CF Montréal 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 CF Montréal matches.