Cincinnati
Cincinnati remain structurally vulnerable, conceding 1.69 xG per match whilst generating just 1.36 in attack—a profile that leaves them exposed against quality opposition. Their recent sequence of two wins, three draws, and two losses across seven settled fixtures reflects this mid-table inconsistency, with an inability to impose control in either phase. With no immediate fixtures scheduled, the model's focus remains on their underlying imbalance between attack and defence. Bawler's Banker picks on Cincinnati have maintained a perfect 100% strike rate across seven selections, signalling reliable predictive value on this side.
How to read this: the green bar shows the average goals Cincinnati 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, Cincinnati are above average there.
How to read this: the solid line is the goals Cincinnati 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 Cincinnati's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Cincinnati fixture, the model lands 8 out of 8 (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 Cincinnati 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 Cincinnati matches.