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

Tottenham

Historical measurements from this snapshot.
Clean-sheet rate, away matches
20.0%
Percentile rank 57 among 187 measured profiles
pct 57 of 187 measured
Clean-sheet rate, home matches
0.0%
Percentile rank 4 among 187 measured profiles
pct 4 of 187 measured
Clean-sheet rate, last 10 matches
10.0%
Percentile rank 22 among 187 measured profiles
pct 22 of 187 measured
Clean-sheet rate, season
21.6%
Percentile rank 50 among 187 measured profiles
pct 50 of 187 measured
Goals against per game, last 10 matches
1.6
Percentile rank 53 among 187 measured profiles
pct 53 of 187 measured
Goal difference per game, last 10 matches
-0.6
Percentile rank 35 among 187 measured profiles
pct 35 of 187 measured
Goals for per game, last 10 matches
1
Percentile rank 39 among 187 measured profiles
pct 39 of 187 measured
Points per game, away matches in last 10
0.9
Percentile rank 51 among 187 measured profiles
pct 51 of 187 measured
Points per game, home matches in last 10
0.4
Percentile rank 4 among 187 measured profiles
pct 4 of 187 measured
Points per game, last 10 matches
0.9
Percentile rank 34 among 187 measured profiles
pct 34 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

  • The home/away inversion is the anomaly: 0.4 points per game at home, 0.9 away.
  • clean_sheet_rate_home 0 against clean_sheet_rate_away 0.2.
  • Overall the window is poor -- ppg_l10 0.9, gd_l10 -0.6.
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.