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Borussia Dortmund vs Bayer Leverkusen: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 11

· LONDON TIME · Signal Iduna Park · Referee: not provided

Borussia Dortmund

Borussia Dortmund

1 · 12 pts · 4 P · 4 W · 0 D · 0 L · GD 7

VSBayer Leverkusen

Bayer Leverkusen

5 · 7 pts · 4 P · 2 W · 1 D · 1 L · GD 5

Statistical engine · radaronze-v1

RadarOnze analysis

Probabilities calculated in advance. The explanatory layer organises existing factors and does not change the model’s numbers.

View in the Betting Centre

Away team to score 1+ goals

74.0%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.85 × 1.33

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.97 × 1.21

    Parameters from the independent Poisson model for the home and away teams.

  • Signal consensus: 46.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Away team to score 1+ goals has a model probability of 74.0%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 2.02 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1557 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance 12

77.5%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.85 × 1.33

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.97 × 1.21

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 95.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 77.5%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 2.02 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1557 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance 1X

76.4%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.85 × 1.33

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.97 × 1.21

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 77

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 76.4%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 2.02 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1557 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance X2

46.1%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.85 × 1.33

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.97 × 1.21

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 81.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 46.1%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 2.02 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1557 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 0.5 goals

96.4%

high
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.85 × 1.33

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.97 × 1.21

    Parameters from the independent Poisson model for the home and away teams.

  • Signal consensus: 92.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 96.4%, high confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 2.02 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1557 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Home team to score 2+ goals

61.1%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.85 × 1.33

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.97 × 1.21

    Parameters from the independent Poisson model for the home and away teams.

  • Signal consensus: 68.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Home team to score 2+ goals has a model probability of 61.1%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 2.02 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1557 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 20.5 shots

86.8%

high
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — shots: 27.73

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.96 × 12.20

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 85.3

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots: 26.16

    Count model with home/away adjustment, team strength and empirical smoothing.

  • Signal consensus: 99.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 86.8%, high confidence and a sample of 38 matches per team.

League average — shots: 27.73 (Weighted average using only matches played before the fixture.) Home/away strength: 13.96 × 12.20 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1557 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Result probabilities — 1X2Complementary statistical view. It does not take part in top signals or tickets.

Away win

23.6%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.85 × 1.33

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.97 × 1.21

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 77

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

22.5%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.85 × 1.33

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.97 × 1.21

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 95.4

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

53.9%

medium
View full analysis
Sample
38 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.02 × 1.16

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1636 × 1557

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 64.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.85 × 1.33

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.97 × 1.21

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 81.9

    Agreement between the parametric model and the smoothed empirical frequency.

18+ · Statistical estimates, not guaranteed outcomes. Bet responsibly.

Data interpretation

RadarOnze analysis

An original, deterministic reading of the real samples shown on this page.

Across 10 recent matches, Borussia Dortmund recorded 7 wins, 0 draws and 3 defeats and averaged 1.90 goals scored per match. Bayer Leverkusen's 10-match sample contains 5 wins, 2 draws and 3 defeats, with 2.00 goals scored per match.

The venue split shows Borussia Dortmund at home with 15 wins, 2 draws and 2 defeats in 19 matches, averaging 2.37 goals scored and 0.84 goals conceded. Away from home, Bayer Leverkusen has 8 wins, 5 draws and 6 defeats in 19 matches, with 1.79 goals scored and 1.74 goals conceded.

Both teams scored in 3 of 10 matches (30%) of Borussia Dortmund's sample and 7 of 10 matches (70%) of Bayer Leverkusen's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 7 of 10 matches (70%), respectively.

Shot volume separates the sides at 13.20 per match for Borussia Dortmund and 20.00 for Bayer Leverkusen. On target, the averages are 4.70 and 6.40, respectively.

Historical frequencies describe the available sample; they are not a promise or certainty about a future result.

Form

Recent form and season

Last 5

Borussia Dortmund

5 matches
WWWWW
W
5
D
0
L
0
GF
11
GA
2

Last 5

Bayer Leverkusen

5 matches
WDWLD
W
2
D
2
L
1
GF
11
GA
6

Last 10

Borussia Dortmund

10 matches
WWWWWWLWLL
W
7
D
0
L
3
GF
19
GA
8

Last 10

Bayer Leverkusen

10 matches
WDWLDLWWLW
W
5
D
2
L
3
GF
20
GA
13

Last 20

Borussia Dortmund

20 matches
WWWWWWLWLLWWWWLDWWWW
W
15
D
1
L
4
GF
44
GA
19

Last 20

Bayer Leverkusen

20 matches
WDWLDLWWLWWDDDWDLWDW
W
9
D
7
L
4
GF
43
GA
27

Season

Borussia Dortmund

38 matches
WWWWWWLWLLWWWWLDWWWWWWDWDWWDDWWLDWWWWD
W
26
D
7
L
5
GF
79
GA
36

Season

Bayer Leverkusen

38 matches
WDWLDLWWLWWDDDWDLWDWWLLWWLLWWLWWWWDWDL
W
19
D
9
L
10
GF
78
GA
52

Goals

Frequencies across the last 10

Average goals scored

Borussia Dortmund

1.90 · 10 matches

Bayer Leverkusen

2.00 · 10 matches

Average goals conceded

Borussia Dortmund

0.80 · 10 matches

Bayer Leverkusen

1.30 · 10 matches

Over 0.5

Borussia Dortmund

100% · 10 of 10 matches

Bayer Leverkusen

100% · 10 of 10 matches

Over 1.5

Borussia Dortmund

70% · 7 of 10 matches

Bayer Leverkusen

90% · 9 of 10 matches

Over 2.5

Borussia Dortmund

50% · 5 of 10 matches

Bayer Leverkusen

70% · 7 of 10 matches

Over 3.5

Borussia Dortmund

30% · 3 of 10 matches

Bayer Leverkusen

50% · 5 of 10 matches

Both teams scored

Borussia Dortmund

30% · 3 of 10 matches

Bayer Leverkusen

70% · 7 of 10 matches

Clean sheet

Borussia Dortmund

50% · 5 of 10 matches

Bayer Leverkusen

30% · 3 of 10 matches

Failed to score

Borussia Dortmund

20% · 2 of 10 matches

Bayer Leverkusen

0% · 0 of 10 matches

Corners

Volume and observed lines

Average for

Borussia Dortmund

4.00 · 10 matches

Bayer Leverkusen

7.90 · 10 matches

Average against

Borussia Dortmund

3.60 · 10 matches

Bayer Leverkusen

3.70 · 10 matches

Total average

Borussia Dortmund

7.60 · 10 matches

Bayer Leverkusen

11.60 · 10 matches

Over 7.5

Borussia Dortmund

60% · 6 of 10 matches

Bayer Leverkusen

80% · 8 of 10 matches

Over 8.5

Borussia Dortmund

40% · 4 of 10 matches

Bayer Leverkusen

80% · 8 of 10 matches

Over 9.5

Borussia Dortmund

30% · 3 of 10 matches

Bayer Leverkusen

80% · 8 of 10 matches

Over 10.5

Borussia Dortmund

10% · 1 of 10 matches

Bayer Leverkusen

60% · 6 of 10 matches

Over 11.5

Borussia Dortmund

10% · 1 of 10 matches

Bayer Leverkusen

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

Borussia Dortmund

2.44 · 9 matches

Bayer Leverkusen

1.40 · 10 matches

Opponent average

Borussia Dortmund

1.44 · 9 matches

Bayer Leverkusen

2.10 · 10 matches

Total average

Borussia Dortmund

3.89 · 9 matches

Bayer Leverkusen

3.50 · 10 matches

Over 2.5

Borussia Dortmund

78% · 7 of 9 matches

Bayer Leverkusen

90% · 9 of 10 matches

Over 3.5

Borussia Dortmund

56% · 5 of 9 matches

Bayer Leverkusen

40% · 4 of 10 matches

Over 4.5

Borussia Dortmund

33% · 3 of 9 matches

Bayer Leverkusen

20% · 2 of 10 matches

Over 5.5

Borussia Dortmund

22% · 2 of 9 matches

Bayer Leverkusen

0% · 0 of 10 matches

Fouls

Match intensity

Committed average

Borussia Dortmund

11.70 · 10 matches

Bayer Leverkusen

9.10 · 10 matches

Opponent average

Borussia Dortmund

10.80 · 10 matches

Bayer Leverkusen

10.40 · 10 matches

Total average

Borussia Dortmund

22.50 · 10 matches

Bayer Leverkusen

19.50 · 10 matches

Shots

Production and concessions

Average shots

Borussia Dortmund

13.20 · 10 matches

Bayer Leverkusen

20.00 · 10 matches

Average shots on target

Borussia Dortmund

4.70 · 10 matches

Bayer Leverkusen

6.40 · 10 matches

Average shots conceded

Borussia Dortmund

10.90 · 10 matches

Bayer Leverkusen

13.90 · 10 matches

Average shots on target conceded

Borussia Dortmund

3.70 · 10 matches

Bayer Leverkusen

5.00 · 10 matches

Average xG

Borussia Dortmund

1.76 · 8 matches

Bayer Leverkusen

2.37 · 8 matches

Average xG against

Borussia Dortmund

1.19 · 8 matches

Bayer Leverkusen

1.67 · 8 matches

Home vs away

Borussia Dortmund at home × Bayer Leverkusen away

Borussia Dortmund at home

Borussia Dortmund

19 matches
WWWWLWWLWWWWWWDWDWW
W
15
D
2
L
2
GF
45
GA
16

Bayer Leverkusen away

Bayer Leverkusen

19 matches
DLLWWDDWLDWLWLWLWWD
W
8
D
5
L
6
GF
34
GA
33
Average goals scored

Borussia Dortmund at home

2.37 · 19 matches

Bayer Leverkusen away

1.79 · 19 matches

Average goals conceded

Borussia Dortmund at home

0.84 · 19 matches

Bayer Leverkusen away

1.74 · 19 matches

Over 0.5

Borussia Dortmund at home

100% · 19 of 19 matches

Bayer Leverkusen away

100% · 19 of 19 matches

Over 1.5

Borussia Dortmund at home

84% · 16 of 19 matches

Bayer Leverkusen away

79% · 15 of 19 matches

Over 2.5

Borussia Dortmund at home

58% · 11 of 19 matches

Bayer Leverkusen away

68% · 13 of 19 matches

Over 3.5

Borussia Dortmund at home

42% · 8 of 19 matches

Bayer Leverkusen away

53% · 10 of 19 matches

Both teams scored

Borussia Dortmund at home

37% · 7 of 19 matches

Bayer Leverkusen away

68% · 13 of 19 matches

Clean sheet

Borussia Dortmund at home

58% · 11 of 19 matches

Bayer Leverkusen away

11% · 2 of 19 matches

Failed to score

Borussia Dortmund at home

5% · 1 of 19 matches

Bayer Leverkusen away

21% · 4 of 19 matches

Total corner average

Borussia Dortmund at home

10.26 · 19 matches

Bayer Leverkusen away

9.63 · 19 matches

Over 8.5 corners

Borussia Dortmund at home

68% · 13 of 19 matches

Bayer Leverkusen away

63% · 12 of 19 matches

Total card average

Borussia Dortmund at home

2.94 · 17 matches

Bayer Leverkusen away

4.79 · 19 matches

Players and goalkeepers

Pre-match highlights

Borussia Dortmund

S. Guirassy

Forward

7.46

4 matches · 341 min

2 goals · 2 assists · 7 of 11 shots on target

F. Nmecha

Midfielder

7.29

4 matches · 234 min

2 goals · 0 assists · 3 of 6 shots on target

Fábio Silva

Forward

7.19

3 matches · 109 min

2 goals · 0 assists · 2 of 4 shots on target

M. Beier

Midfielder

7.17

4 matches · 269 min

1 goals · 1 assists · 2 of 7 shots on target

W. Anton

Centre-back

7.21

4 matches · 360 min

0 goals · 1 assists · 0 of 1 shots on target

G. Kobel

Goalkeeper

6.98

4 matches · 360 min

12 saves · 2 goals conceded

A. Meyer

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

Bayer Leverkusen

P. Schick

Forward

7.58

4 matches · 261 min

4 goals · 1 assists · 7 of 16 shots on target

Miguel Gutiérrez

Centre-back

7.68

4 matches · 353 min

1 goals · 3 assists · 2 of 4 shots on target

I. Maza

Midfielder

7.37

4 matches · 360 min

1 goals · 1 assists · 2 of 15 shots on target

Christian Kofane

Forward

7.02

4 matches · 134 min

2 goals · 0 assists · 2 of 7 shots on target

F. Medina

Centre-back

7.08

4 matches · 281 min

1 goals · 0 assists · 2 of 2 shots on target

M. Flekken

Goalkeeper

6.61

4 matches · 360 min

9 saves · 3 goals conceded

J. Blaswich

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Borussia Dortmund 0 × 1 Bayer Leverkusen1388561
Bayer Leverkusen 1 × 2 Borussia Dortmund1388407
Average goals
2.00 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 11.50 · 2 matches

Combined view

Data convergences

  • Both scopes show a high frequency of the home team scoring.

Descriptive analysis based exclusively on available frequencies.