
Inter Miami operate as a clinical attacking unit with a marginal defensive vulnerability, averaging 1.60 xG created against 1.49 conceded per match. Their recent record reflects this profile—four wins in the last five settled fixtures—though they remain reliant on conversion efficiency to mask structural defensive weaknesses. With no immediate fixtures in the current window, focus shifts to Bawler's exceptional 88% banker accuracy on Miami matches, a track record suggesting the model has identified genuine exploitable edges in their underlying performance.
How to read this: the green bar shows the average goals Inter Miami 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, Inter Miami are above average there.
How to read this: the solid line is the goals Inter Miami 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 Inter Miami's perspective. Tap a tile to see Bawler's full prediction for that match.
When Bawler issues a Banker pick on a Inter Miami fixture, the model lands 8 out of 9 (89%). 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 Inter Miami 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 Inter Miami matches.