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Paris Saint-Germain edge out Chelsea by a hair at the top, and it’s interesting how: PSG are #1 with 5W/0D/2L, 16 goals, 2.29 frequency, 70.57 rating, while Chelsea are #2 with 6W/0D/1L, 17 goals, 2.43 frequency, 70.27 rating. That tiny gap suggests your rating isn’t “frequency-only”—it likely rewards overall match impact/context too.

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Real Madrid vs Fluminense FC shows two paths to a top-4 rank. Real Madrid (#3) combine wins with decent goal output (4W/1D/1L, 11 goals, 1.83 frequency, 67.28). Fluminense (#4) have fewer goals (8) but more draws (3W/2D/1L) and still land at 67.05—a sign consistency across rounds is being rewarded, not just scoring volume.

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The “efficiency monsters” pop when goals per match explode. Bayern Munich put up 16 goals in 5 matches (frequency 3.20) and sit #5 at 65.91. Manchester City also hit 16 goals, but in just 4 matches (frequency 4.00) and rank #7 at 65.40—which hints your model may slightly prefer sustained output over smaller-sample spikes.

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The mid-table cluster is basically “draw control vs goal punch.” Borussia Dortmund (#8) have a balanced record (3W/1D/1L) and 9 goals for 64.60. Palmeiras (#9) trade goals (6) for stability (2W/2D/1L) at 64.17. Then CF Monterrey and Inter Milan sit close behind with fewer goals, showing how quickly ratings compress when output drops.

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Lower top-16 teams reveal what hurts most: low goals or extra losses. Juventus are #13 despite 11 goals and a strong 2.75 frequency, because 2 losses in 4 matches cap the rating (62.46). Benfica (#14) stay efficient (10 goals, 2.50 frequency) at 62.29. Flamengo (#15) are solid but lower output (8 goals) keeps them at 61.76, while Inter Miami (#16) show the clearest drop-off: 4 goals, 1.00 frequency, 61.19.