Clubs Compare

Barcelona vs Paris Saint Germain

Real strength. Different football profiles.

Barcelona

La Liga · 2026-2027

Rating as of 19 Oct 2026
Power93.4
The football profile

Club DNA

BarcelonaParis Saint Germain

Strength Profile · Current

Fixed 0–100 ratings. Power is the Elo baseline; Attack and Defence use a common reference opponent. Form is opponent-adjusted.

Strength profile radarCommon axes run from zero at the centre to 100 at the edge. Exact values appear alongside. A missing metric leaves the shape incomplete. 255075100 Power Attack Defence Form Consistency Squad Availability Barcelona · Power 93.4 ptsBarcelona · Attack 97.3 ptsBarcelona · Defence 92.4 ptsBarcelona · Form 96.0 ptsBarcelona · Consistency 71.7 ptsBarcelona · Squad Availability 90.2 % Paris Saint Germain · Power 89.5 ptsParis Saint Germain · Attack 91.4 ptsParis Saint Germain · Defence 82.6 ptsParis Saint Germain · Form 95.8 ptsParis Saint Germain · Consistency 56.2 ptsParis Saint Germain · Squad Availability 98.1 % Strength profile radarCommon axes run from zero at the centre to 100 at the edge. Exact values appear alongside. A missing metric leaves the shape incomplete. 255075100 Power Attack Defence Form Consistency SquadAvailability Barcelona · Power 93.4 ptsBarcelona · Attack 97.3 ptsBarcelona · Defence 92.4 ptsBarcelona · Form 96.0 ptsBarcelona · Consistency 71.7 ptsBarcelona · Squad Availability 90.2 % Paris Saint Germain · Power 89.5 ptsParis Saint Germain · Attack 91.4 ptsParis Saint Germain · Defence 82.6 ptsParis Saint Germain · Form 95.8 ptsParis Saint Germain · Consistency 56.2 ptsParis Saint Germain · Squad Availability 98.1 %
Ratings · 0–100 · Availability is a percentage

Strength comparison

Point gaps · Availability in percentage points

93.4Power89.5
Barcelona +3.9 pts
97.3Attack91.4
Barcelona +5.9 pts
92.4Defence82.6
Barcelona +9.8 pts
96.0Form95.8
Barcelona +0.2 pts
71.7Consistency56.2
Barcelona +15.5 pts
90.2%Squad Availability98.1%
Paris Saint Germain +7.9 pp

Consistency measures variation in points minus LOAD90 expected points, centred on the club’s average gap. Higher means less variation, not better results. Squad Availability is the percentage of model-weighted squad available for the last completed match, using its saved pre-match snapshot. It does not predict readiness for the next match. Missing historical data stays unavailable.

What separates them

The Difference

  • Barcelona has less variable result gaps relative to LOAD90 expectations.
  • Barcelona holds the defensive advantage.
  • Barcelona has the stronger attacking profile.
  • Paris Saint Germain had more of its weighted squad available for its last completed match.
Descriptive rating gaps, not a match forecast. Small gaps are left out; missing ratings are not compared.

Barcelona · Form 5/5 · Consistency 20/20 covered matches · 3 pre-match / 17 historical forecast backfills · Availability · last completed match 17 Oct 2026

Paris Saint Germain · Form 5/5 · Consistency 20/20 covered matches · 3 pre-match / 17 historical forecast backfills · Availability · last completed match 17 Oct 2026

How Consistency works

For each match, gap = points earned − LOAD90 expected points. Consistency = 100 × (1 − SD(gaps) / 3), with SD calculated around the window’s mean gap. The endpoints come from the mathematical bounds of point gaps; this is not a fitted percentile or a forecast factor. A constant positive or negative gap can be consistent.

Current uses the latest 20 completed tracked matches within one year. At least 15 usable forecasts and 75% coverage are required. A 15–19-match score is provisional; comparative Consistency insights require 20 each. Historical backfills are reconstructed expectations, not forecasts archived before kickoff. Result randomness and changes in model calibration can affect the score.

Barcelona · Current gap SD 0.85 points · mean gap 0.43 · Full window

Paris Saint Germain · Current gap SD 1.32 points · mean gap -0.20 · Full window

Playing Style · Current

Observed profile · last 10 matches before each club’s reference fixture. Native units and coverage are shown below.

Playing style radarEach axis has its own labelled native range, shared by both clubs and both periods. Grid rings mark quarters of those ranges. Exact values appear alongside; missing data leaves the shape incomplete. Possession 0–100 % Pass accuracy 0–100 % Shots in the box 0–100 % On target share 0–100 % Shot Frequency 0–6 shots/100 passes Corner Pressure 0–12 corners/90 Barcelona · Possession 72.0 %Barcelona · Pass accuracy 91.4 %Barcelona · Shots in the box 67.0 %Barcelona · On target share 39.7 %Barcelona · Shot Frequency 3.1 shots/100 passesBarcelona · Corner Pressure 7.5 corners/90 Paris Saint Germain · Possession 66.9 %Paris Saint Germain · Pass accuracy 89.9 %Paris Saint Germain · Shots in the box 56.5 %Paris Saint Germain · On target share 36.3 %Paris Saint Germain · Shot Frequency 3.2 shots/100 passesParis Saint Germain · Corner Pressure 5.3 corners/90 Playing style radarEach axis has its own labelled native range, shared by both clubs and both periods. Grid rings mark quarters of those ranges. Exact values appear alongside; missing data leaves the shape incomplete. Possession 0–100 % Passaccuracy 0–100 % Shots inthe box 0–100 % On targetshare 0–100 % ShotFrequency 0–6 shots/100 passes CornerPressure 0–12 corners/90 Barcelona · Possession 72.0 %Barcelona · Pass accuracy 91.4 %Barcelona · Shots in the box 67.0 %Barcelona · On target share 39.7 %Barcelona · Shot Frequency 3.1 shots/100 passesBarcelona · Corner Pressure 7.5 corners/90 Paris Saint Germain · Possession 66.9 %Paris Saint Germain · Pass accuracy 89.9 %Paris Saint Germain · Shots in the box 56.5 %Paris Saint Germain · On target share 36.3 %Paris Saint Germain · Shot Frequency 3.2 shots/100 passesParis Saint Germain · Corner Pressure 5.3 corners/90
Native units · axis ranges shown · larger is not better

How they play

Differences in each metric’s native units

72.0%Possession66.9%
Barcelona +5.1 pp
91.4%Pass accuracy89.9%
Barcelona +1.5 pp
67.0%Shots in the box56.5%
Barcelona +10.5 pp
39.7%On target share36.3%
Barcelona +3.4 pp
3.1Shot Frequency3.2
Level
7.5Corner Pressure5.3
Barcelona +2.2 corners/90

Shot Frequency = shots per 100 passes on the same covered matches: how quickly passing sequences turn into attempts. Corner Pressure = corners per completed 90-minute game. These describe attacking tendencies, not strength; extra time and custom-length games are excluded.

These are observed profiles. League and schedule differences can affect them. The radar uses native axis ranges shared by both clubs and both periods; a larger shape does not imply superiority.

Barcelona · Window 10 matches · before 25 Oct 2026 · Shot Frequency 10/10 · Corner Pressure 10/10 covered regulation matches. Per-metric coverage of the four percentage shares is unavailable.

Paris Saint Germain · Window 10 matches · before 25 Oct 2026 · Shot Frequency 9/10 · Corner Pressure 9/10 covered regulation matches. Per-metric coverage of the four percentage shares is unavailable.

Strength Profile · Season Average

Match-sampled averages of available ratings this season, across tracked competitions. These are not time-weighted averages or a measure of consistency.

Strength profile radarCommon axes run from zero at the centre to 100 at the edge. Exact values appear alongside. A missing metric leaves the shape incomplete. 255075100 Power Attack Defence Form Consistency Squad Availability Barcelona · Power 91.7 ptsBarcelona · Attack 94.8 ptsBarcelona · Defence 92.2 ptsBarcelona · Form 93.2 ptsBarcelona · Consistency 67.7 ptsBarcelona · Squad Availability 86.8 % Paris Saint Germain · Power 88.0 ptsParis Saint Germain · Attack 88.1 ptsParis Saint Germain · Defence 84.1 ptsParis Saint Germain · Form 63.7 ptsParis Saint Germain · Consistency 57.9 ptsParis Saint Germain · Squad Availability 89.5 % Strength profile radarCommon axes run from zero at the centre to 100 at the edge. Exact values appear alongside. A missing metric leaves the shape incomplete. 255075100 Power Attack Defence Form Consistency SquadAvailability Barcelona · Power 91.7 ptsBarcelona · Attack 94.8 ptsBarcelona · Defence 92.2 ptsBarcelona · Form 93.2 ptsBarcelona · Consistency 67.7 ptsBarcelona · Squad Availability 86.8 % Paris Saint Germain · Power 88.0 ptsParis Saint Germain · Attack 88.1 ptsParis Saint Germain · Defence 84.1 ptsParis Saint Germain · Form 63.7 ptsParis Saint Germain · Consistency 57.9 ptsParis Saint Germain · Squad Availability 89.5 %
Ratings · 0–100 · Availability is a percentage

Strength comparison

Point gaps · Availability in percentage points

91.7Power88.0
Barcelona +3.7 pts
94.8Attack88.1
Barcelona +6.7 pts
92.2Defence84.1
Barcelona +8.1 pts
93.2Form63.7
Barcelona +29.5 pts
67.7Consistency57.9
Barcelona +9.8 pts
86.8%Squad Availability89.5%
Paris Saint Germain +2.7 pp

Consistency measures variation in points minus LOAD90 expected points, centred on the club’s average gap. Higher means less variation, not better results. Squad Availability is the percentage of model-weighted squad available for the last completed match, using its saved pre-match snapshot. It does not predict readiness for the next match. Missing historical data stays unavailable.

What separates them

The Difference

  • Barcelona has the higher average Form value.
  • Barcelona has the higher average Consistency value.
  • Barcelona has the higher average Defence value.
Descriptive rating gaps, not a match forecast. Small gaps are left out; missing ratings are not compared.

Barcelona · Power 11 · Attack 3 · Defence 3 · Form 8 · Consistency 11 · Squad Availability 3 · 3 pre-match / 8 historical Elo backfills. Minimum 3 observations per average. Consistency averages eligible rolling windows, which overlap; availability uses genuine pre-match snapshots only. Historical Form is reconstructed using the current calibration.

Paris Saint Germain · Power 9 · Attack 3 · Defence 3 · Form 6 · Consistency 9 · Squad Availability 3 · 3 pre-match / 6 historical Elo backfills. Minimum 3 observations per average. Consistency averages eligible rolling windows, which overlap; availability uses genuine pre-match snapshots only. Historical Form is reconstructed using the current calibration.

How Consistency works

For each match, gap = points earned − LOAD90 expected points. Consistency = 100 × (1 − SD(gaps) / 3), with SD calculated around the window’s mean gap. The endpoints come from the mathematical bounds of point gaps; this is not a fitted percentile or a forecast factor. A constant positive or negative gap can be consistent.

Current uses the latest 20 completed tracked matches within one year. At least 15 usable forecasts and 75% coverage are required. A 15–19-match score is provisional; comparative Consistency insights require 20 each. Historical backfills are reconstructed expectations, not forecasts archived before kickoff. Result randomness and changes in model calibration can affect the score.

Barcelona · Current gap SD 0.85 points · mean gap 0.43 · Full window

Paris Saint Germain · Current gap SD 1.32 points · mean gap -0.20 · Full window

Playing Style · Season Average

Observed profile · league season before each club’s reference fixture. Native units and coverage are shown below.

Playing style radarEach axis has its own labelled native range, shared by both clubs and both periods. Grid rings mark quarters of those ranges. Exact values appear alongside; missing data leaves the shape incomplete. Possession 0–100 % Pass accuracy 0–100 % Shots in the box 0–100 % On target share 0–100 % Shot Frequency 0–6 shots/100 passes Corner Pressure 0–12 corners/90 Barcelona · Possession 70.1 %Barcelona · Pass accuracy 90.8 %Barcelona · Shots in the box 70.4 %Barcelona · On target share 40.0 %Barcelona · Shot Frequency 3.0 shots/100 passesBarcelona · Corner Pressure 7.3 corners/90 Paris Saint Germain · Possession 68.0 %Paris Saint Germain · Pass accuracy 90.0 %Paris Saint Germain · Shots in the box 56.0 %Paris Saint Germain · On target share 34.7 %Paris Saint Germain · Shot Frequency 2.9 shots/100 passesParis Saint Germain · Corner Pressure 5.6 corners/90 Playing style radarEach axis has its own labelled native range, shared by both clubs and both periods. Grid rings mark quarters of those ranges. Exact values appear alongside; missing data leaves the shape incomplete. Possession 0–100 % Passaccuracy 0–100 % Shots inthe box 0–100 % On targetshare 0–100 % ShotFrequency 0–6 shots/100 passes CornerPressure 0–12 corners/90 Barcelona · Possession 70.1 %Barcelona · Pass accuracy 90.8 %Barcelona · Shots in the box 70.4 %Barcelona · On target share 40.0 %Barcelona · Shot Frequency 3.0 shots/100 passesBarcelona · Corner Pressure 7.3 corners/90 Paris Saint Germain · Possession 68.0 %Paris Saint Germain · Pass accuracy 90.0 %Paris Saint Germain · Shots in the box 56.0 %Paris Saint Germain · On target share 34.7 %Paris Saint Germain · Shot Frequency 2.9 shots/100 passesParis Saint Germain · Corner Pressure 5.6 corners/90
Native units · axis ranges shown · larger is not better

How they play

Differences in each metric’s native units

70.1%Possession68.0%
Barcelona +2.1 pp
90.8%Pass accuracy90.0%
Barcelona +0.8 pp
70.4%Shots in the box56.0%
Barcelona +14.4 pp
40.0%On target share34.7%
Barcelona +5.3 pp
3.0Shot Frequency2.9
Barcelona +0.1 shots/100 passes
7.3Corner Pressure5.6
Barcelona +1.8 corners/90

Shot Frequency = shots per 100 passes on the same covered matches: how quickly passing sequences turn into attempts. Corner Pressure = corners per completed 90-minute game. These describe attacking tendencies, not strength; extra time and custom-length games are excluded.

These are observed profiles. League and schedule differences can affect them. The radar uses native axis ranges shared by both clubs and both periods; a larger shape does not imply superiority.

Barcelona · Window 9 matches · before 25 Oct 2026 · Shot Frequency 9/9 · Corner Pressure 9/9 covered regulation matches. Per-metric coverage of the four percentage shares is unavailable.

Paris Saint Germain · Window 7 matches · before 25 Oct 2026 · Shot Frequency 7/7 · Corner Pressure 7/7 covered regulation matches. Per-metric coverage of the four percentage shares is unavailable.

The season so far

Historical Trend

Power · 0–100

Base Power at recorded match dates. Solid lines join saved pre-match ratings; dashed segments include historical Elo backfills. The same fixed scale is used for both clubs.

Season Power historyAvailable pre-match Power observations and historical Elo backfills. Lines connect observations, not daily measurements. Exact dates and values are available in the table below. 0255075100 Barcelona · 2026-08-23 19:30:00 UTC · 90.5 · backfill Barcelona · 2026-08-27 19:00:00 UTC · 90.9 · backfill Barcelona · 2026-08-31 19:30:00 UTC · 91 · backfill Barcelona · 2026-09-06 14:15:00 UTC · 91.2 · backfill Barcelona · 2026-09-09 16:45:00 UTC · 91.7 · backfill Barcelona · 2026-09-13 14:15:00 UTC · 91.8 · backfill Barcelona · 2026-09-16 19:30:00 UTC · 92.1 · backfill Barcelona · 2026-09-19 19:00:00 UTC · 92.2 · backfill Barcelona · 2026-10-10 16:30:00 UTC · 92.4 · pre Barcelona · 2026-10-13 19:00:00 UTC · 92.5 · pre Barcelona · 2026-10-17 16:30:00 UTC · 92.9 · pre Paris Saint Germain · 2026-08-23 18:45:00 UTC · 89 · backfill Paris Saint Germain · 2026-08-28 18:45:00 UTC · 88.6 · backfill Paris Saint Germain · 2026-09-04 19:05:00 UTC · 88.3 · backfill Paris Saint Germain · 2026-09-09 19:00:00 UTC · 87 · backfill Paris Saint Germain · 2026-09-13 18:45:00 UTC · 87.1 · backfill Paris Saint Germain · 2026-09-20 18:45:00 UTC · 87.4 · backfill Paris Saint Germain · 2026-10-10 18:45:00 UTC · 87.7 · pre Paris Saint Germain · 2026-10-14 19:00:00 UTC · 87.8 · pre Paris Saint Germain · 2026-10-17 15:15:00 UTC · 89.2 · pre 23 Aug 202617 Oct 2026
BarcelonaParis Saint Germain
View history data and coverage
ClubDate (UTC)PowerSource
Barcelona2026-08-23 19:30:0090.5Historical Elo backfill
Barcelona2026-08-27 19:00:0090.9Historical Elo backfill
Barcelona2026-08-31 19:30:0091.0Historical Elo backfill
Barcelona2026-09-06 14:15:0091.2Historical Elo backfill
Barcelona2026-09-09 16:45:0091.7Historical Elo backfill
Barcelona2026-09-13 14:15:0091.8Historical Elo backfill
Barcelona2026-09-16 19:30:0092.1Historical Elo backfill
Barcelona2026-09-19 19:00:0092.2Historical Elo backfill
Barcelona2026-10-10 16:30:0092.4Saved pre-match
Barcelona2026-10-13 19:00:0092.5Saved pre-match
Barcelona2026-10-17 16:30:0092.9Saved pre-match
Paris Saint Germain2026-08-23 18:45:0089.0Historical Elo backfill
Paris Saint Germain2026-08-28 18:45:0088.6Historical Elo backfill
Paris Saint Germain2026-09-04 19:05:0088.3Historical Elo backfill
Paris Saint Germain2026-09-09 19:00:0087.0Historical Elo backfill
Paris Saint Germain2026-09-13 18:45:0087.1Historical Elo backfill
Paris Saint Germain2026-09-20 18:45:0087.4Historical Elo backfill
Paris Saint Germain2026-10-10 18:45:0087.7Saved pre-match
Paris Saint Germain2026-10-14 19:00:0087.8Saved pre-match
Paris Saint Germain2026-10-17 15:15:0089.2Saved pre-match
Chances, finishing & results

Efficiency

From chances to results. Exact values share a scale within each row; colours identify the clubs.

Last 10

Barcelona
Paris Saint Germain
ConversionGoals / shots · %
19.2% 10/10 covered
12.4% 9/10 covered
Save RateSaves / shots on target faced · %
64.3% 8/10 covered
71.9% 6/10 covered
Goals − xGFinishing gap · per match
+0.67 9/10 covered
+0.30 5/10 covered
xGA − GAGoals prevented · per match
-0.16 9/10 covered
-0.16 5/10 covered
Shot QualityObserved xG / shot
0.160 9/10 covered
0.136 5/10 covered
Shot VolumeShots / 90
22.4 10/10 covered
21.6 9/10 covered
xG / matchLeague season · fixed window
3.73 9/9 covered
2.65 4/7 covered
xGA / matchLeague season · fixed window
0.98 9/9 covered
1.16 4/7 covered
Points / gameLeague season · fixed window
3.00 9/9 league matches
2.00 7/7 league matches
Points vs expected · Form windowUp to 5 matches · stored pure forecasts
+3.05 5/5 Form window
+4.93 5/5 Form window

Barcelona · Statistics before 25 Oct 2026 · Recent results W · W · W · W · W

Paris Saint Germain · Statistics before 25 Oct 2026 · Recent results W · W · W · W · W

League season

Barcelona
Paris Saint Germain
ConversionGoals / shots · %
20.5% 9/9 covered
9.7% 7/7 covered
Save RateSaves / shots on target faced · %
68.0% 7/9 covered
73.7% 4/7 covered
Goals − xGFinishing gap · per match
+0.61 9/9 covered
-0.15 4/7 covered
xGA − GAGoals prevented · per match
-0.02 9/9 covered
-0.34 4/7 covered
Shot QualityObserved xG / shot
0.176 9/9 covered
0.138 4/7 covered
Shot VolumeShots / 90
21.1 9/9 covered
20.6 7/7 covered
xG / matchLeague season · fixed window
3.73 9/9 covered
2.65 4/7 covered
xGA / matchLeague season · fixed window
0.98 9/9 covered
1.16 4/7 covered
Points / gameLeague season · fixed window
3.00 9/9 league matches
2.00 7/7 league matches
Points vs expected · Form windowUp to 5 matches · stored pure forecasts
+3.05 5/5 Form window
+4.93 5/5 Form window

Barcelona · Statistics before 25 Oct 2026 · Recent results W · W · W · W · W

Paris Saint Germain · Statistics before 25 Oct 2026 · Recent results W · W · W · W · W

Positive Goals − xG means more goals scored than the observed chances predicted. Positive xGA − GA means fewer goals conceded than those chances predicted; it reflects defence and goalkeeping together. Gaps are per covered match and pair goals and xG on the same matches. Shot Quality pairs total xG and total shots. Minimum three known matches per metric; missing data stays unavailable.

Butterfly bars grow from the centre towards each club. Length shows magnitude, not superiority; negative gaps use stripes and a minus sign. Percentages use 0–100%, PPG uses 0–3; other rows share the larger absolute value as their limit. xG, xGA and PPG retain their league-season window. Points vs expected retains the latest up to five completed matches with stored pure forecasts across tracked competitions; results are newest first. These observed metrics are not adjusted for league or opponent strength.

About this comparison

Strength ratings share LOAD90’s fixed scales across leagues. Elo reflects opponent quality; Attack and Defence describe performance against the same reference club on a neutral pitch. Form adjusts for opponents and venue. League Strength is not added a second time. Cross-league ratings remain model estimates; sparse connections between leagues and incomplete data limit precision. Explore the methodology →