Clubs Compare

Juventus vs Monza

Real strength. Different football profiles.

Juventus

Serie A · 2026-2027

Rating as of 20 Oct 2026
Power66.6

Monza

Serie A · 2026-2027

Rating as of 20 Oct 2026
Power18.1
The football profile

Club DNA

JuventusMonza

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 Juventus · Power 66.6 ptsJuventus · Attack 56.8 ptsJuventus · Defence 76.2 ptsJuventus · Form 73.5 ptsJuventus · Consistency 59.6 ptsJuventus · Squad Availability 78.5 % Monza · Power 18.1 ptsMonza · Attack 34.3 ptsMonza · Defence 26.2 ptsMonza · Form 43.4 ptsMonza · Squad Availability 88.3 % 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 Juventus · Power 66.6 ptsJuventus · Attack 56.8 ptsJuventus · Defence 76.2 ptsJuventus · Form 73.5 ptsJuventus · Consistency 59.6 ptsJuventus · Squad Availability 78.5 % Monza · Power 18.1 ptsMonza · Attack 34.3 ptsMonza · Defence 26.2 ptsMonza · Form 43.4 ptsMonza · Squad Availability 88.3 %
Ratings · 0–100 · Availability is a percentage

Strength comparison

Point gaps · Availability in percentage points

66.6Power18.1
Juventus +48.5 pts
56.8Attack34.3
Juventus +22.5 pts
76.2Defence26.2
Juventus +50.0 pts
73.5Form43.4
Juventus +30.1 pts
59.6Consistency—
Shared data unavailable
78.5%Squad Availability88.3%
Monza +9.8 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

  • Juventus holds the defensive advantage.
  • Juventus has the higher Power rating.
  • Juventus shows better recent form.
  • Monza 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.

Juventus · Form 5/5 · Consistency 20/20 covered matches · 3 pre-match / 17 historical forecast backfills · Availability · last completed match 18 Oct 2026

Monza · Form 5/5 · Consistency 7/7 covered matches · 2 pre-match / 5 historical forecast backfills · Availability · last completed match 19 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.

Juventus · Current gap SD 1.21 points · mean gap -0.02 · Full window

Monza · Current gap SD 1.12 points · mean gap 0.06 · Insufficient sample

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 Juventus · Possession 56.6 %Juventus · Pass accuracy 87.6 %Juventus · Shots in the box 60.4 %Juventus · On target share 34.7 %Juventus · Shot Frequency 3.1 shots/100 passesJuventus · Corner Pressure 7.7 corners/90 Monza · Possession 46.3 %Monza · Pass accuracy 83.6 %Monza · Shots in the box 67.5 %Monza · On target share 41.2 %Monza · Shot Frequency 2.9 shots/100 passesMonza · Corner Pressure 4.0 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 Juventus · Possession 56.6 %Juventus · Pass accuracy 87.6 %Juventus · Shots in the box 60.4 %Juventus · On target share 34.7 %Juventus · Shot Frequency 3.1 shots/100 passesJuventus · Corner Pressure 7.7 corners/90 Monza · Possession 46.3 %Monza · Pass accuracy 83.6 %Monza · Shots in the box 67.5 %Monza · On target share 41.2 %Monza · Shot Frequency 2.9 shots/100 passesMonza · Corner Pressure 4.0 corners/90
Native units · axis ranges shown · larger is not better

How they play

Differences in each metric’s native units

56.6%Possession46.3%
Juventus +10.3 pp
87.6%Pass accuracy83.6%
Juventus +4.0 pp
60.4%Shots in the box67.5%
Monza +7.1 pp
34.7%On target share41.2%
Monza +6.5 pp
3.1Shot Frequency2.9
Juventus +0.2 shots/100 passes
7.7Corner Pressure4.0
Juventus +3.7 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.

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

Monza · Window 10 matches · before 23 Oct 2026 · Shot Frequency 10/10 · 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 Juventus · Power 68.9 ptsJuventus · Attack 66.9 ptsJuventus · Defence 76.8 ptsJuventus · Form 64.3 ptsJuventus · Consistency 61.3 ptsJuventus · Squad Availability 78.5 % Monza · Power 15.5 ptsMonza · Form 22.3 pts 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 Juventus · Power 68.9 ptsJuventus · Attack 66.9 ptsJuventus · Defence 76.8 ptsJuventus · Form 64.3 ptsJuventus · Consistency 61.3 ptsJuventus · Squad Availability 78.5 % Monza · Power 15.5 ptsMonza · Form 22.3 pts
Ratings · 0–100 · Availability is a percentage

Strength comparison

Point gaps · Availability in percentage points

68.9Power15.5
Juventus +53.4 pts
66.9Attack—
Shared data unavailable
76.8Defence—
Shared data unavailable
64.3Form22.3
Juventus +42.0 pts
61.3Consistency—
Shared data unavailable
78.5%Squad Availability—
Shared data unavailable

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

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

Juventus · 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.

Monza · Power 7 · Attack 2 · Defence 2 · Form 4 · Consistency 0 · Squad Availability 2 · 2 pre-match / 5 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.

Juventus · Current gap SD 1.21 points · mean gap -0.02 · Full window

Monza · Current gap SD 1.12 points · mean gap 0.06 · Insufficient sample

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 Juventus · Possession 58.3 %Juventus · Pass accuracy 87.8 %Juventus · Shots in the box 53.5 %Juventus · On target share 35.0 %Juventus · Shot Frequency 3.1 shots/100 passesJuventus · Corner Pressure 8.0 corners/90 Monza · Possession 44.4 %Monza · Pass accuracy 81.2 %Monza · Shots in the box 73.7 %Monza · On target share 42.7 %Monza · Shot Frequency 3.6 shots/100 passesMonza · Corner Pressure 4.0 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 Juventus · Possession 58.3 %Juventus · Pass accuracy 87.8 %Juventus · Shots in the box 53.5 %Juventus · On target share 35.0 %Juventus · Shot Frequency 3.1 shots/100 passesJuventus · Corner Pressure 8.0 corners/90 Monza · Possession 44.4 %Monza · Pass accuracy 81.2 %Monza · Shots in the box 73.7 %Monza · On target share 42.7 %Monza · Shot Frequency 3.6 shots/100 passesMonza · Corner Pressure 4.0 corners/90
Native units · axis ranges shown · larger is not better

How they play

Differences in each metric’s native units

58.3%Possession44.4%
Juventus +13.9 pp
87.8%Pass accuracy81.2%
Juventus +6.6 pp
53.5%Shots in the box73.7%
Monza +20.2 pp
35.0%On target share42.7%
Monza +7.7 pp
3.1Shot Frequency3.6
Monza +0.6 shots/100 passes
8.0Corner Pressure4.0
Juventus +4.0 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.

Juventus · 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.

Monza · Window 7 matches · before 23 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 Juventus · 2026-08-23 16:30:00 UTC · 68.4 · backfill Juventus · 2026-08-29 18:45:00 UTC · 69.1 · backfill Juventus · 2026-09-06 18:45:00 UTC · 69.6 · backfill Juventus · 2026-09-13 18:45:00 UTC · 69 · backfill Juventus · 2026-09-17 19:00:00 UTC · 67.1 · backfill Juventus · 2026-09-20 16:00:00 UTC · 68.1 · backfill Juventus · 2026-10-11 18:45:00 UTC · 69.3 · pre Juventus · 2026-10-15 19:00:00 UTC · 68.9 · pre Juventus · 2026-10-18 18:45:00 UTC · 70.3 · pre Monza · 2026-08-22 16:30:00 UTC · 15.7 · backfill Monza · 2026-08-29 16:30:00 UTC · 15.6 · backfill Monza · 2026-09-06 13:00:00 UTC · 14.9 · backfill Monza · 2026-09-13 13:00:00 UTC · 15.4 · backfill Monza · 2026-09-18 18:45:00 UTC · 15 · backfill Monza · 2026-10-11 13:00:00 UTC · 16.1 · pre Monza · 2026-10-19 16:30:00 UTC · 15.8 · pre 22 Aug 202619 Oct 2026
JuventusMonza
View history data and coverage
ClubDate (UTC)PowerSource
Juventus2026-08-23 16:30:0068.4Historical Elo backfill
Juventus2026-08-29 18:45:0069.1Historical Elo backfill
Juventus2026-09-06 18:45:0069.6Historical Elo backfill
Juventus2026-09-13 18:45:0069.0Historical Elo backfill
Juventus2026-09-17 19:00:0067.1Historical Elo backfill
Juventus2026-09-20 16:00:0068.1Historical Elo backfill
Juventus2026-10-11 18:45:0069.3Saved pre-match
Juventus2026-10-15 19:00:0068.9Saved pre-match
Juventus2026-10-18 18:45:0070.3Saved pre-match
Monza2026-08-22 16:30:0015.7Historical Elo backfill
Monza2026-08-29 16:30:0015.6Historical Elo backfill
Monza2026-09-06 13:00:0014.9Historical Elo backfill
Monza2026-09-13 13:00:0015.4Historical Elo backfill
Monza2026-09-18 18:45:0015.0Historical Elo backfill
Monza2026-10-11 13:00:0016.1Saved pre-match
Monza2026-10-19 16:30:0015.8Saved pre-match
Chances, finishing & results

Efficiency

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

Last 10

Juventus
Monza
ConversionGoals / shots · %
10.8% 10/10 covered
13.4% 10/10 covered
Save RateSaves / shots on target faced · %
68.0% 8/10 covered
64.6% 9/10 covered
Goals − xGFinishing gap · per match
-0.00 8/10 covered
+0.10 9/10 covered
xGA − GAGoals prevented · per match
-0.64 8/10 covered
-0.85 9/10 covered
Shot QualityObserved xG / shot
0.085 8/10 covered
0.137 9/10 covered
Shot VolumeShots / 90
16.7 10/10 covered
11.9 10/10 covered
xG / matchLeague season · fixed window
1.48 6/7 covered
1.83 6/7 covered
xGA / matchLeague season · fixed window
0.50 6/7 covered
1.34 6/7 covered
Points / gameLeague season · fixed window
1.57 7/7 league matches
1.00 7/7 league matches
Points vs expected · Form windowUp to 5 matches · stored pure forecasts
+0.52 5/5 Form window
+1.75 5/5 Form window

Juventus · Statistics before 25 Oct 2026 · Recent results L · W · D · W · W

Monza · Statistics before 23 Oct 2026 · Recent results W · L · W · L · D

League season

Juventus
Monza
ConversionGoals / shots · %
7.7% 7/7 covered
13.5% 7/7 covered
Save RateSaves / shots on target faced · %
66.7% 5/7 covered
63.6% 6/7 covered
Goals − xGFinishing gap · per match
-0.14 6/7 covered
+0.17 6/7 covered
xGA − GAGoals prevented · per match
-0.67 6/7 covered
-0.99 6/7 covered
Shot QualityObserved xG / shot
0.086 6/7 covered
0.137 6/7 covered
Shot VolumeShots / 90
16.7 7/7 covered
13.7 7/7 covered
xG / matchLeague season · fixed window
1.48 6/7 covered
1.83 6/7 covered
xGA / matchLeague season · fixed window
0.50 6/7 covered
1.34 6/7 covered
Points / gameLeague season · fixed window
1.57 7/7 league matches
1.00 7/7 league matches
Points vs expected · Form windowUp to 5 matches · stored pure forecasts
+0.52 5/5 Form window
+1.75 5/5 Form window

Juventus · Statistics before 25 Oct 2026 · Recent results L · W · D · W · W

Monza · Statistics before 23 Oct 2026 · Recent results W · L · W · L · D

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 →