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Descriptive only — these are measured recent-form rates, not projections.
Soccer teams · Soccer · as of 2026-07-18

Chelsea

Historical measurements from this snapshot.
Clean-sheet rate, away matches
0.0%
Percentile rank 7 among 187 measured profiles
pct 7 of 187 measured
Clean-sheet rate, home matches
10.0%
Percentile rank 18 among 187 measured profiles
pct 18 of 187 measured
Clean-sheet rate, last 10 matches
0.0%
Percentile rank 5 among 187 measured profiles
pct 5 of 187 measured
Clean-sheet rate, season
24.3%
Percentile rank 61 among 187 measured profiles
pct 61 of 187 measured
Goals against per game, last 10 matches
1.9
Percentile rank 77 among 187 measured profiles
pct 77 of 187 measured
Goal difference per game, last 10 matches
-1
Percentile rank 21 among 187 measured profiles
pct 21 of 187 measured
Goals for per game, last 10 matches
0.9
Percentile rank 31 among 187 measured profiles
pct 31 of 187 measured
Points per game, away matches in last 10
1.2
Percentile rank 68 among 187 measured profiles
pct 68 of 187 measured
Points per game, home matches in last 10
1.2
Percentile rank 46 among 187 measured profiles
pct 46 of 187 measured
Points per game, last 10 matches
0.7
Percentile rank 22 among 187 measured profiles
pct 22 of 187 measured
Win rate, last 10 matches
20.0%
Percentile rank 33 among 187 measured profiles
pct 33 of 187 measured
Stored percentiles rank measured rows in the published soccer pack. The pack spans six divisions without team league or match dates, so like-for-like comparisons are unverified. Higher is only higher, not a quality judgement.

What stands out

  • Not one shutout in the trailing-10 window, against a 0.2432 clean-sheet rate across the season.
  • The defense is the whole story: ga_l10 1.9 against gf_l10 0.9.
  • Points followed -- ppg_l10 0.7 with a 0.2 win rate.
Reading note

Descriptive trailing-10 and season rates as of the corpus end -- not a prediction and not a causal claim. Ten-match windows are small: one hot or cold stretch moves ppg_l10, gd_l10, and the clean-sheet rates substantially. Home and away splits are five-match-scale samples inside that window. Nothing here adjusts for roster, injuries, competition, or fixture strength.