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Bayer Leverkusen vs Bayern München: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 33

· LONDON TIME · BayArena · Referee: not provided

Bayer Leverkusen

Bayer Leverkusen

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

VSBayern München

Bayern München

2 · 10 pts · 4 P · 3 W · 1 D · 0 L · GD 12

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

92.9%

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

Model factors

  • League average — goals: 3.29

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.27 × 2.62

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

  • Opponent strength: 1557 × 1684

    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: 63.8

    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: 1.46 × 2.35

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

  • Model expected goals: 1.32 × 2.55

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

  • Signal consensus: 89.8

    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 92.9%, high confidence and a sample of 38 matches per team.

League average — goals: 3.29 (Weighted average using only matches played before the fixture.) Home/away strength: 1.27 × 2.62 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1684 (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

81.3%

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

Model factors

  • League average — goals: 3.29

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.27 × 2.62

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

  • Opponent strength: 1557 × 1684

    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: 63.8

    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: 1.46 × 2.35

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

  • Model expected goals: 1.32 × 2.55

    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: 92.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 81.3%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.29 (Weighted average using only matches played before the fixture.) Home/away strength: 1.27 × 2.62 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1684 (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

37.9%

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

Model factors

  • League average — goals: 3.29

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.27 × 2.62

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

  • Opponent strength: 1557 × 1684

    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: 63.8

    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: 1.46 × 2.35

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

  • Model expected goals: 1.32 × 2.55

    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: 10.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 37.9%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.29 (Weighted average using only matches played before the fixture.) Home/away strength: 1.27 × 2.62 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1684 (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

80.8%

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

Model factors

  • League average — goals: 3.29

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.27 × 2.62

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

  • Opponent strength: 1557 × 1684

    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: 63.8

    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: 1.46 × 2.35

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

  • Model expected goals: 1.32 × 2.55

    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: 17.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 80.8%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.29 (Weighted average using only matches played before the fixture.) Home/away strength: 1.27 × 2.62 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1684 (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

97.8%

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

Model factors

  • League average — goals: 3.29

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.27 × 2.62

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

  • Opponent strength: 1557 × 1684

    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: 63.8

    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: 1.46 × 2.35

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

  • Model expected goals: 1.32 × 2.55

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

  • Signal consensus: 98.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 97.8%, high confidence and a sample of 38 matches per team.

League average — goals: 3.29 (Weighted average using only matches played before the fixture.) Home/away strength: 1.27 × 2.62 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1684 (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

41.6%

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

Model factors

  • League average — goals: 3.29

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.27 × 2.62

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

  • Opponent strength: 1557 × 1684

    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: 63.8

    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: 1.46 × 2.35

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

  • Model expected goals: 1.32 × 2.55

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

  • Signal consensus: 53.5

    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 41.6%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.29 (Weighted average using only matches played before the fixture.) Home/away strength: 1.27 × 2.62 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1684 (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

94.3%

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

Model factors

  • League average — shots: 27.07

    Weighted average using only matches played before the fixture.

  • Home/away strength: 11.76 × 17.58

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

  • Opponent strength: 1557 × 1684

    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: 29.35

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

  • Signal consensus: 84.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 94.3%, high confidence and a sample of 38 matches per team.

League average — shots: 27.07 (Weighted average using only matches played before the fixture.) Home/away strength: 11.76 × 17.58 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1684 (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

62.1%

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

Model factors

  • League average — goals: 3.29

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.27 × 2.62

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

  • Opponent strength: 1557 × 1684

    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: 63.8

    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: 1.46 × 2.35

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

  • Model expected goals: 1.32 × 2.55

    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: 10.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

18.7%

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

Model factors

  • League average — goals: 3.29

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.27 × 2.62

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

  • Opponent strength: 1557 × 1684

    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: 63.8

    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: 1.46 × 2.35

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

  • Model expected goals: 1.32 × 2.55

    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: 92.6

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

19.2%

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

Model factors

  • League average — goals: 3.29

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.27 × 2.62

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

  • Opponent strength: 1557 × 1684

    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: 63.8

    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: 1.46 × 2.35

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

  • Model expected goals: 1.32 × 2.55

    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: 17.6

    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, Bayer Leverkusen recorded 5 wins, 2 draws and 3 defeats and averaged 2.00 goals scored per match. Bayern München's 10-match sample contains 8 wins, 2 draws and 0 defeats, with 3.60 goals scored per match.

The venue split shows Bayer Leverkusen at home with 11 wins, 4 draws and 4 defeats in 19 matches, averaging 2.32 goals scored and 1.00 goal conceded. Away from home, Bayern München has 15 wins, 4 draws and 0 defeats in 19 matches, with 2.95 goals scored and 0.95 goals conceded.

Both teams scored in 7 of 10 matches (70%) of Bayer Leverkusen's sample and 6 of 10 matches (60%) of Bayern München's. Over 2.5 goals occurred in 7 of 10 matches (70%) and 8 of 10 matches (80%), respectively.

Shot volume separates the sides at 20.00 per match for Bayer Leverkusen and 20.40 for Bayern München. On target, the averages are 6.40 and 8.10, 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

Bayer Leverkusen

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

Last 5

Bayern München

5 matches
WWDWW
W
4
D
1
L
0
GF
19
GA
3

Last 10

Bayer Leverkusen

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

Last 10

Bayern München

10 matches
WWDWWWDWWW
W
8
D
2
L
0
GF
36
GA
11

Last 20

Bayer Leverkusen

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

Last 20

Bayern München

20 matches
WWDWWWDWWWWWDWWWWWDL
W
15
D
4
L
1
GF
65
GA
24

Season

Bayer Leverkusen

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

Season

Bayern München

38 matches
WWDWWWDWWWWWDWWWWWDLWWWWDWWWDWWWWWWWWW
W
31
D
6
L
1
GF
136
GA
38

Goals

Frequencies across the last 10

Average goals scored

Bayer Leverkusen

2.00 · 10 matches

Bayern München

3.60 · 10 matches

Average goals conceded

Bayer Leverkusen

1.30 · 10 matches

Bayern München

1.10 · 10 matches

Over 0.5

Bayer Leverkusen

100% · 10 of 10 matches

Bayern München

90% · 9 of 10 matches

Over 1.5

Bayer Leverkusen

90% · 9 of 10 matches

Bayern München

80% · 8 of 10 matches

Over 2.5

Bayer Leverkusen

70% · 7 of 10 matches

Bayern München

80% · 8 of 10 matches

Over 3.5

Bayer Leverkusen

50% · 5 of 10 matches

Bayern München

70% · 7 of 10 matches

Both teams scored

Bayer Leverkusen

70% · 7 of 10 matches

Bayern München

60% · 6 of 10 matches

Clean sheet

Bayer Leverkusen

30% · 3 of 10 matches

Bayern München

40% · 4 of 10 matches

Failed to score

Bayer Leverkusen

0% · 0 of 10 matches

Bayern München

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Bayer Leverkusen

7.90 · 10 matches

Bayern München

7.80 · 10 matches

Average against

Bayer Leverkusen

3.70 · 10 matches

Bayern München

3.40 · 10 matches

Total average

Bayer Leverkusen

11.60 · 10 matches

Bayern München

11.20 · 10 matches

Over 7.5

Bayer Leverkusen

80% · 8 of 10 matches

Bayern München

90% · 9 of 10 matches

Over 8.5

Bayer Leverkusen

80% · 8 of 10 matches

Bayern München

80% · 8 of 10 matches

Over 9.5

Bayer Leverkusen

80% · 8 of 10 matches

Bayern München

70% · 7 of 10 matches

Over 10.5

Bayer Leverkusen

60% · 6 of 10 matches

Bayern München

60% · 6 of 10 matches

Over 11.5

Bayer Leverkusen

50% · 5 of 10 matches

Bayern München

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

Bayer Leverkusen

1.40 · 10 matches

Bayern München

1.33 · 9 matches

Opponent average

Bayer Leverkusen

2.10 · 10 matches

Bayern München

1.78 · 9 matches

Total average

Bayer Leverkusen

3.50 · 10 matches

Bayern München

3.11 · 9 matches

Over 2.5

Bayer Leverkusen

90% · 9 of 10 matches

Bayern München

67% · 6 of 9 matches

Over 3.5

Bayer Leverkusen

40% · 4 of 10 matches

Bayern München

44% · 4 of 9 matches

Over 4.5

Bayer Leverkusen

20% · 2 of 10 matches

Bayern München

11% · 1 of 9 matches

Over 5.5

Bayer Leverkusen

0% · 0 of 10 matches

Bayern München

0% · 0 of 9 matches

Fouls

Match intensity

Committed average

Bayer Leverkusen

9.10 · 10 matches

Bayern München

8.20 · 10 matches

Opponent average

Bayer Leverkusen

10.40 · 10 matches

Bayern München

8.50 · 10 matches

Total average

Bayer Leverkusen

19.50 · 10 matches

Bayern München

16.70 · 10 matches

Shots

Production and concessions

Average shots

Bayer Leverkusen

20.00 · 10 matches

Bayern München

20.40 · 10 matches

Average shots on target

Bayer Leverkusen

6.40 · 10 matches

Bayern München

8.10 · 10 matches

Average shots conceded

Bayer Leverkusen

13.90 · 10 matches

Bayern München

9.90 · 10 matches

Average shots on target conceded

Bayer Leverkusen

5.00 · 10 matches

Bayern München

3.80 · 10 matches

Average xG

Bayer Leverkusen

2.37 · 8 matches

Bayern München

2.98 · 8 matches

Average xG against

Bayer Leverkusen

1.67 · 8 matches

Bayern München

1.52 · 8 matches

Home vs away

Bayer Leverkusen at home × Bayern München away

Bayer Leverkusen at home

Bayer Leverkusen

19 matches
WWDWLWDDWWLWLWWWDWL
W
11
D
4
L
4
GF
44
GA
19

Bayern München away

Bayern München

19 matches
WDWWWWDWWDWWWWDWWWW
W
15
D
4
L
0
GF
56
GA
18
Average goals scored

Bayer Leverkusen at home

2.32 · 19 matches

Bayern München away

2.95 · 19 matches

Average goals conceded

Bayer Leverkusen at home

1.00 · 19 matches

Bayern München away

0.95 · 19 matches

Over 0.5

Bayer Leverkusen at home

100% · 19 of 19 matches

Bayern München away

95% · 18 of 19 matches

Over 1.5

Bayer Leverkusen at home

95% · 18 of 19 matches

Bayern München away

89% · 17 of 19 matches

Over 2.5

Bayer Leverkusen at home

53% · 10 of 19 matches

Bayern München away

84% · 16 of 19 matches

Over 3.5

Bayer Leverkusen at home

37% · 7 of 19 matches

Bayern München away

63% · 12 of 19 matches

Both teams scored

Bayer Leverkusen at home

58% · 11 of 19 matches

Bayern München away

58% · 11 of 19 matches

Clean sheet

Bayer Leverkusen at home

42% · 8 of 19 matches

Bayern München away

42% · 8 of 19 matches

Failed to score

Bayer Leverkusen at home

0% · 0 of 19 matches

Bayern München away

5% · 1 of 19 matches

Total corner average

Bayer Leverkusen at home

10.37 · 19 matches

Bayern München away

9.26 · 19 matches

Over 8.5 corners

Bayer Leverkusen at home

68% · 13 of 19 matches

Bayern München away

58% · 11 of 19 matches

Total card average

Bayer Leverkusen at home

4.74 · 19 matches

Bayern München away

4.35 · 17 matches

Players and goalkeepers

Pre-match highlights

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

Bayern München

M. Olise

Midfielder

7.94

4 matches · 303 min

4 goals · 1 assists · 9 of 16 shots on target

H. Kane

Forward

7.68

4 matches · 296 min

3 goals · 1 assists · 5 of 13 shots on target

I. Saibari

Midfielder

7.34

4 matches · 178 min

1 goals · 2 assists · 3 of 8 shots on target

J. Kimmich

Midfielder

7.86

4 matches · 295 min

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

A. Davies

Centre-back

7.63

4 matches · 272 min

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

M. Neuer

Goalkeeper

5.54

4 matches · 270 min

6 saves · 1 goals conceded

J. Urbig

Goalkeeper

3.35

2 matches · 90 min

0 saves · 0 goals conceded

H2H

Recent meetings

Bayer Leverkusen 1 × 1 Bayern München1388533
Bayern München 3 × 0 Bayer Leverkusen1388381
Average goals
2.50 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 9.50 · 2 matches

Combined view

Data convergences

  • Both scopes show a high frequency of the away team scoring.
  • Recent histories converge towards matches with three or more goals.

Descriptive analysis based exclusively on available frequencies.