Clubs Compare

Bayer Leverkusen vs Borussia Dortmund

Real strength. Different football profiles.

The football profile

Club DNA

Bayer LeverkusenBorussia Dortmund

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 Bayer Leverkusen · Power 79.1 ptsBayer Leverkusen · Attack 87.1 ptsBayer Leverkusen · Defence 79.3 ptsBayer Leverkusen · Form 94.2 ptsBayer Leverkusen · Consistency 57.8 ptsBayer Leverkusen · Squad Availability 96.1 % Borussia Dortmund · Power 80.6 ptsBorussia Dortmund · Attack 69.0 ptsBorussia Dortmund · Defence 80.2 ptsBorussia Dortmund · Form 61.2 ptsBorussia Dortmund · Consistency 58.0 ptsBorussia Dortmund · Squad Availability 98.7 % 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 Bayer Leverkusen · Power 79.1 ptsBayer Leverkusen · Attack 87.1 ptsBayer Leverkusen · Defence 79.3 ptsBayer Leverkusen · Form 94.2 ptsBayer Leverkusen · Consistency 57.8 ptsBayer Leverkusen · Squad Availability 96.1 % Borussia Dortmund · Power 80.6 ptsBorussia Dortmund · Attack 69.0 ptsBorussia Dortmund · Defence 80.2 ptsBorussia Dortmund · Form 61.2 ptsBorussia Dortmund · Consistency 58.0 ptsBorussia Dortmund · Squad Availability 98.7 %
Ratings · 0–100 · Availability is a percentage

Strength comparison

Point gaps · Availability in percentage points

79.1Power80.6
Borussia Dortmund +1.5 pts
87.1Attack69.0
Bayer Leverkusen +18.1 pts
79.3Defence80.2
Borussia Dortmund +0.9 pts
94.2Form61.2
Bayer Leverkusen +33.0 pts
57.8Consistency58.0
Borussia Dortmund +0.2 pts
96.1%Squad Availability98.7%
Borussia Dortmund +2.6 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

  • Bayer Leverkusen shows better recent form.
  • Bayer Leverkusen has the stronger attacking profile.
Descriptive rating gaps, not a match forecast. Small gaps are left out; missing ratings are not compared.

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

Borussia Dortmund · 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.

Bayer Leverkusen · Current gap SD 1.26 points · mean gap 0.12 · Full window

Borussia Dortmund · Current gap SD 1.26 points · mean gap 0.12 · 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 Bayer Leverkusen · Possession 57.5 %Bayer Leverkusen · Pass accuracy 87.6 %Bayer Leverkusen · Shots in the box 71.5 %Bayer Leverkusen · On target share 35.7 %Bayer Leverkusen · Shot Frequency 3.4 shots/100 passesBayer Leverkusen · Corner Pressure 6.7 corners/90 Borussia Dortmund · Possession 53.9 %Borussia Dortmund · Pass accuracy 85.7 %Borussia Dortmund · Shots in the box 71.8 %Borussia Dortmund · On target share 38.8 %Borussia Dortmund · Shot Frequency 2.8 shots/100 passesBorussia Dortmund · Corner Pressure 5.8 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 Bayer Leverkusen · Possession 57.5 %Bayer Leverkusen · Pass accuracy 87.6 %Bayer Leverkusen · Shots in the box 71.5 %Bayer Leverkusen · On target share 35.7 %Bayer Leverkusen · Shot Frequency 3.4 shots/100 passesBayer Leverkusen · Corner Pressure 6.7 corners/90 Borussia Dortmund · Possession 53.9 %Borussia Dortmund · Pass accuracy 85.7 %Borussia Dortmund · Shots in the box 71.8 %Borussia Dortmund · On target share 38.8 %Borussia Dortmund · Shot Frequency 2.8 shots/100 passesBorussia Dortmund · Corner Pressure 5.8 corners/90
Native units · axis ranges shown · larger is not better

How they play

Differences in each metric’s native units

57.5%Possession53.9%
Bayer Leverkusen +3.6 pp
87.6%Pass accuracy85.7%
Bayer Leverkusen +1.9 pp
71.5%Shots in the box71.8%
Borussia Dortmund +0.3 pp
35.7%On target share38.8%
Borussia Dortmund +3.1 pp
3.4Shot Frequency2.8
Bayer Leverkusen +0.7 shots/100 passes
6.7Corner Pressure5.8
Bayer Leverkusen +0.9 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.

Bayer Leverkusen · 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.

Borussia Dortmund · Window 10 matches · before 24 Oct 2026 · Shot Frequency 10/10 · Corner Pressure 10/10 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 Bayer Leverkusen · Power 76.1 ptsBayer Leverkusen · Attack 78.9 ptsBayer Leverkusen · Defence 72.8 ptsBayer Leverkusen · Form 70.1 ptsBayer Leverkusen · Consistency 56.2 ptsBayer Leverkusen · Squad Availability 96.4 % Borussia Dortmund · Power 81.6 ptsBorussia Dortmund · Attack 77.1 ptsBorussia Dortmund · Defence 79.8 ptsBorussia Dortmund · Form 87.4 ptsBorussia Dortmund · Consistency 62.2 ptsBorussia Dortmund · Squad Availability 85.0 % 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 Bayer Leverkusen · Power 76.1 ptsBayer Leverkusen · Attack 78.9 ptsBayer Leverkusen · Defence 72.8 ptsBayer Leverkusen · Form 70.1 ptsBayer Leverkusen · Consistency 56.2 ptsBayer Leverkusen · Squad Availability 96.4 % Borussia Dortmund · Power 81.6 ptsBorussia Dortmund · Attack 77.1 ptsBorussia Dortmund · Defence 79.8 ptsBorussia Dortmund · Form 87.4 ptsBorussia Dortmund · Consistency 62.2 ptsBorussia Dortmund · Squad Availability 85.0 %
Ratings · 0–100 · Availability is a percentage

Strength comparison

Point gaps · Availability in percentage points

76.1Power81.6
Borussia Dortmund +5.5 pts
78.9Attack77.1
Bayer Leverkusen +1.8 pts
72.8Defence79.8
Borussia Dortmund +7.0 pts
70.1Form87.4
Borussia Dortmund +17.3 pts
56.2Consistency62.2
Borussia Dortmund +6.0 pts
96.4%Squad Availability85.0%
Bayer Leverkusen +11.4 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

  • Borussia Dortmund has the higher average Form value.
  • Borussia Dortmund has the higher average Defence value.
  • Borussia Dortmund has the higher average Consistency value.
  • Bayer Leverkusen has the higher average Squad Availability value.
Descriptive rating gaps, not a match forecast. Small gaps are left out; missing ratings are not compared.

Bayer Leverkusen · Power 8 · Attack 3 · Defence 3 · Form 5 · Consistency 8 · Squad Availability 3 · 3 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.

Borussia Dortmund · Power 8 · Attack 3 · Defence 3 · Form 5 · Consistency 8 · Squad Availability 3 · 3 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.

Bayer Leverkusen · Current gap SD 1.26 points · mean gap 0.12 · Full window

Borussia Dortmund · Current gap SD 1.26 points · mean gap 0.12 · 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 Bayer Leverkusen · Possession 57.8 %Bayer Leverkusen · Pass accuracy 87.2 %Bayer Leverkusen · Shots in the box 70.7 %Bayer Leverkusen · On target share 31.4 %Bayer Leverkusen · Shot Frequency 3.7 shots/100 passesBayer Leverkusen · Corner Pressure 7.3 corners/90 Borussia Dortmund · Possession 54.8 %Borussia Dortmund · Pass accuracy 84.9 %Borussia Dortmund · Shots in the box 72.5 %Borussia Dortmund · On target share 34.1 %Borussia Dortmund · Shot Frequency 2.9 shots/100 passesBorussia Dortmund · Corner Pressure 4.8 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 Bayer Leverkusen · Possession 57.8 %Bayer Leverkusen · Pass accuracy 87.2 %Bayer Leverkusen · Shots in the box 70.7 %Bayer Leverkusen · On target share 31.4 %Bayer Leverkusen · Shot Frequency 3.7 shots/100 passesBayer Leverkusen · Corner Pressure 7.3 corners/90 Borussia Dortmund · Possession 54.8 %Borussia Dortmund · Pass accuracy 84.9 %Borussia Dortmund · Shots in the box 72.5 %Borussia Dortmund · On target share 34.1 %Borussia Dortmund · Shot Frequency 2.9 shots/100 passesBorussia Dortmund · Corner Pressure 4.8 corners/90
Native units · axis ranges shown · larger is not better

How they play

Differences in each metric’s native units

57.8%Possession54.8%
Bayer Leverkusen +3.0 pp
87.2%Pass accuracy84.9%
Bayer Leverkusen +2.3 pp
70.7%Shots in the box72.5%
Borussia Dortmund +1.8 pp
31.4%On target share34.1%
Borussia Dortmund +2.7 pp
3.7Shot Frequency2.9
Bayer Leverkusen +0.8 shots/100 passes
7.3Corner Pressure4.8
Bayer Leverkusen +2.5 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.

Bayer Leverkusen · Window 6 matches · before 25 Oct 2026 · Shot Frequency 6/6 · Corner Pressure 6/6 covered regulation matches. Per-metric coverage of the four percentage shares is unavailable.

Borussia Dortmund · Window 6 matches · before 24 Oct 2026 · Shot Frequency 6/6 · Corner Pressure 6/6 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 Bayer Leverkusen · 2026-08-29 13:30:00 UTC · 76.3 · backfill Bayer Leverkusen · 2026-09-05 13:30:00 UTC · 74.5 · backfill Bayer Leverkusen · 2026-09-12 13:30:00 UTC · 75.3 · backfill Bayer Leverkusen · 2026-09-16 19:00:00 UTC · 75 · backfill Bayer Leverkusen · 2026-09-20 13:30:00 UTC · 75.3 · backfill Bayer Leverkusen · 2026-10-10 13:30:00 UTC · 76.2 · pre Bayer Leverkusen · 2026-10-15 16:45:00 UTC · 77.3 · pre Bayer Leverkusen · 2026-10-18 13:30:00 UTC · 78.5 · pre Borussia Dortmund · 2026-08-29 16:30:00 UTC · 80.3 · backfill Borussia Dortmund · 2026-09-05 13:30:00 UTC · 80.6 · backfill Borussia Dortmund · 2026-09-08 19:00:00 UTC · 81.4 · backfill Borussia Dortmund · 2026-09-12 13:30:00 UTC · 81.8 · backfill Borussia Dortmund · 2026-09-19 16:30:00 UTC · 82.2 · backfill Borussia Dortmund · 2026-10-09 18:30:00 UTC · 83.1 · pre Borussia Dortmund · 2026-10-14 19:00:00 UTC · 82.3 · pre Borussia Dortmund · 2026-10-17 13:30:00 UTC · 81.1 · pre 29 Aug 202618 Oct 2026
Bayer LeverkusenBorussia Dortmund
View history data and coverage
ClubDate (UTC)PowerSource
Bayer Leverkusen2026-08-29 13:30:0076.3Historical Elo backfill
Bayer Leverkusen2026-09-05 13:30:0074.5Historical Elo backfill
Bayer Leverkusen2026-09-12 13:30:0075.3Historical Elo backfill
Bayer Leverkusen2026-09-16 19:00:0075.0Historical Elo backfill
Bayer Leverkusen2026-09-20 13:30:0075.3Historical Elo backfill
Bayer Leverkusen2026-10-10 13:30:0076.2Saved pre-match
Bayer Leverkusen2026-10-15 16:45:0077.3Saved pre-match
Bayer Leverkusen2026-10-18 13:30:0078.5Saved pre-match
Borussia Dortmund2026-08-29 16:30:0080.3Historical Elo backfill
Borussia Dortmund2026-09-05 13:30:0080.6Historical Elo backfill
Borussia Dortmund2026-09-08 19:00:0081.4Historical Elo backfill
Borussia Dortmund2026-09-12 13:30:0081.8Historical Elo backfill
Borussia Dortmund2026-09-19 16:30:0082.2Historical Elo backfill
Borussia Dortmund2026-10-09 18:30:0083.1Saved pre-match
Borussia Dortmund2026-10-14 19:00:0082.3Saved pre-match
Borussia Dortmund2026-10-17 13:30:0081.1Saved pre-match
Chances, finishing & results

Efficiency

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

Last 10

Bayer Leverkusen
Borussia Dortmund
ConversionGoals / shots · %
13.0% 10/10 covered
12.9% 10/10 covered
Save RateSaves / shots on target faced · %
63.4% 9/10 covered
76.5% 8/10 covered
Goals − xGFinishing gap · per match
+0.05 10/10 covered
+0.05 10/10 covered
xGA − GAGoals prevented · per match
-0.05 10/10 covered
+0.06 10/10 covered
Shot QualityObserved xG / shot
0.127 10/10 covered
0.126 10/10 covered
Shot VolumeShots / 90
18.5 10/10 covered
14.7 10/10 covered
xG / matchLeague season · fixed window
2.19 6/6 covered
1.76 6/6 covered
xGA / matchLeague season · fixed window
1.16 6/6 covered
0.92 6/6 covered
Points / gameLeague season · fixed window
2.17 6/6 league matches
2.33 6/6 league matches
Points vs expected · Form windowUp to 5 matches · stored pure forecasts
+5.25 5/5 Form window
-1.67 5/5 Form window

Bayer Leverkusen · Statistics before 25 Oct 2026 · Recent results W · W · W · W · W

Borussia Dortmund · Statistics before 24 Oct 2026 · Recent results D · L · D · W · W

League season

Bayer Leverkusen
Borussia Dortmund
ConversionGoals / shots · %
13.6% 6/6 covered
12.1% 6/6 covered
Save RateSaves / shots on target faced · %
52.4% 5/6 covered
77.8% 4/6 covered
Goals − xGFinishing gap · per match
+0.48 6/6 covered
+0.07 6/6 covered
xGA − GAGoals prevented · per match
-0.34 6/6 covered
+0.26 6/6 covered
Shot QualityObserved xG / shot
0.111 6/6 covered
0.116 6/6 covered
Shot VolumeShots / 90
19.7 6/6 covered
15.2 6/6 covered
xG / matchLeague season · fixed window
2.19 6/6 covered
1.76 6/6 covered
xGA / matchLeague season · fixed window
1.16 6/6 covered
0.92 6/6 covered
Points / gameLeague season · fixed window
2.17 6/6 league matches
2.33 6/6 league matches
Points vs expected · Form windowUp to 5 matches · stored pure forecasts
+5.25 5/5 Form window
-1.67 5/5 Form window

Bayer Leverkusen · Statistics before 25 Oct 2026 · Recent results W · W · W · W · W

Borussia Dortmund · Statistics before 24 Oct 2026 · Recent results D · L · D · 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 →