RadarOnze
PTEN
≡

Bayern München vs Bayer Leverkusen: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 16

· LONDON TIME · Allianz Arena · Referee: not provided

Bayern München

Bayern München

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

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

75.1%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.18 × 1.24

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

  • Opponent strength: 1684 × 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: 64.1

    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: 2.58 × 1.28

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

  • Model expected goals: 3.01 × 1.25

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

  • Signal consensus: 52.4

    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 75.1%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 3.18 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 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

84.5%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.18 × 1.24

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

  • Opponent strength: 1684 × 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: 64.1

    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: 2.58 × 1.28

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

  • Model expected goals: 3.01 × 1.25

    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: 80.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 84.5%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 3.18 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 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

86.0%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.18 × 1.24

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

  • Opponent strength: 1684 × 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: 64.1

    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: 2.58 × 1.28

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

  • Model expected goals: 3.01 × 1.25

    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: 35.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 86.0%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 3.18 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 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

29.6%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.18 × 1.24

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

  • Opponent strength: 1684 × 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: 64.1

    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: 2.58 × 1.28

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

  • Model expected goals: 3.01 × 1.25

    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: 16.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 29.6%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 3.18 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 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

98.0%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.18 × 1.24

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

  • Opponent strength: 1684 × 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: 64.1

    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: 2.58 × 1.28

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

  • Model expected goals: 3.01 × 1.25

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

  • Signal consensus: 94.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 98.0%, high confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 3.18 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 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

81.7%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.18 × 1.24

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

  • Opponent strength: 1684 × 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: 64.1

    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: 2.58 × 1.28

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

  • Model expected goals: 3.01 × 1.25

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

  • Signal consensus: 80.8

    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 81.7%, high confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 3.18 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 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

94.7%

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

Model factors

  • League average — shots: 27.52

    Weighted average using only matches played before the fixture.

  • Home/away strength: 18.75 × 10.90

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

  • Opponent strength: 1684 × 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: 29.65

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

  • Signal consensus: 83.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 94.7%, high confidence and a sample of 38 matches per team.

League average — shots: 27.52 (Weighted average using only matches played before the fixture.) Home/away strength: 18.75 × 10.90 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1684 × 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

14.0%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.18 × 1.24

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

  • Opponent strength: 1684 × 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: 64.1

    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: 2.58 × 1.28

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

  • Model expected goals: 3.01 × 1.25

    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: 35.3

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

15.5%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.18 × 1.24

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

  • Opponent strength: 1684 × 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: 64.1

    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: 2.58 × 1.28

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

  • Model expected goals: 3.01 × 1.25

    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: 80.7

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

70.4%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 3.18 × 1.24

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

  • Opponent strength: 1684 × 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: 64.1

    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: 2.58 × 1.28

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

  • Model expected goals: 3.01 × 1.25

    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: 16.2

    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, Bayern München recorded 8 wins, 2 draws and 0 defeats and averaged 3.60 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 Bayern München at home with 16 wins, 2 draws and 1 defeat in 19 matches, averaging 4.21 goals scored and 1.05 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 6 of 10 matches (60%) of Bayern München's sample and 7 of 10 matches (70%) of Bayer Leverkusen's. Over 2.5 goals occurred in 8 of 10 matches (80%) and 7 of 10 matches (70%), respectively.

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

Bayern München

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

Last 5

Bayer Leverkusen

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

Last 10

Bayern München

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

Last 10

Bayer Leverkusen

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

Last 20

Bayern München

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

Last 20

Bayer Leverkusen

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

Season

Bayern München

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

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

Bayern München

3.60 · 10 matches

Bayer Leverkusen

2.00 · 10 matches

Average goals conceded

Bayern München

1.10 · 10 matches

Bayer Leverkusen

1.30 · 10 matches

Over 0.5

Bayern München

90% · 9 of 10 matches

Bayer Leverkusen

100% · 10 of 10 matches

Over 1.5

Bayern München

80% · 8 of 10 matches

Bayer Leverkusen

90% · 9 of 10 matches

Over 2.5

Bayern München

80% · 8 of 10 matches

Bayer Leverkusen

70% · 7 of 10 matches

Over 3.5

Bayern München

70% · 7 of 10 matches

Bayer Leverkusen

50% · 5 of 10 matches

Both teams scored

Bayern München

60% · 6 of 10 matches

Bayer Leverkusen

70% · 7 of 10 matches

Clean sheet

Bayern München

40% · 4 of 10 matches

Bayer Leverkusen

30% · 3 of 10 matches

Failed to score

Bayern München

10% · 1 of 10 matches

Bayer Leverkusen

0% · 0 of 10 matches

Corners

Volume and observed lines

Average for

Bayern München

7.80 · 10 matches

Bayer Leverkusen

7.90 · 10 matches

Average against

Bayern München

3.40 · 10 matches

Bayer Leverkusen

3.70 · 10 matches

Total average

Bayern München

11.20 · 10 matches

Bayer Leverkusen

11.60 · 10 matches

Over 7.5

Bayern München

90% · 9 of 10 matches

Bayer Leverkusen

80% · 8 of 10 matches

Over 8.5

Bayern München

80% · 8 of 10 matches

Bayer Leverkusen

80% · 8 of 10 matches

Over 9.5

Bayern München

70% · 7 of 10 matches

Bayer Leverkusen

80% · 8 of 10 matches

Over 10.5

Bayern München

60% · 6 of 10 matches

Bayer Leverkusen

60% · 6 of 10 matches

Over 11.5

Bayern München

40% · 4 of 10 matches

Bayer Leverkusen

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

Bayern München

1.33 · 9 matches

Bayer Leverkusen

1.40 · 10 matches

Opponent average

Bayern München

1.78 · 9 matches

Bayer Leverkusen

2.10 · 10 matches

Total average

Bayern München

3.11 · 9 matches

Bayer Leverkusen

3.50 · 10 matches

Over 2.5

Bayern München

67% · 6 of 9 matches

Bayer Leverkusen

90% · 9 of 10 matches

Over 3.5

Bayern München

44% · 4 of 9 matches

Bayer Leverkusen

40% · 4 of 10 matches

Over 4.5

Bayern München

11% · 1 of 9 matches

Bayer Leverkusen

20% · 2 of 10 matches

Over 5.5

Bayern München

0% · 0 of 9 matches

Bayer Leverkusen

0% · 0 of 10 matches

Fouls

Match intensity

Committed average

Bayern München

8.20 · 10 matches

Bayer Leverkusen

9.10 · 10 matches

Opponent average

Bayern München

8.50 · 10 matches

Bayer Leverkusen

10.40 · 10 matches

Total average

Bayern München

16.70 · 10 matches

Bayer Leverkusen

19.50 · 10 matches

Shots

Production and concessions

Average shots

Bayern München

20.40 · 10 matches

Bayer Leverkusen

20.00 · 10 matches

Average shots on target

Bayern München

8.10 · 10 matches

Bayer Leverkusen

6.40 · 10 matches

Average shots conceded

Bayern München

9.90 · 10 matches

Bayer Leverkusen

13.90 · 10 matches

Average shots on target conceded

Bayern München

3.80 · 10 matches

Bayer Leverkusen

5.00 · 10 matches

Average xG

Bayern München

2.98 · 8 matches

Bayer Leverkusen

2.37 · 8 matches

Average xG against

Bayern München

1.52 · 8 matches

Bayer Leverkusen

1.67 · 8 matches

Home vs away

Bayern München at home × Bayer Leverkusen away

Bayern München at home

Bayern München

19 matches
WWWDWWWWWLWDWWWWWWW
W
16
D
2
L
1
GF
80
GA
20

Bayer Leverkusen away

Bayer Leverkusen

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

Bayern München at home

4.21 · 19 matches

Bayer Leverkusen away

1.79 · 19 matches

Average goals conceded

Bayern München at home

1.05 · 19 matches

Bayer Leverkusen away

1.74 · 19 matches

Over 0.5

Bayern München at home

100% · 19 of 19 matches

Bayer Leverkusen away

100% · 19 of 19 matches

Over 1.5

Bayern München at home

100% · 19 of 19 matches

Bayer Leverkusen away

79% · 15 of 19 matches

Over 2.5

Bayern München at home

100% · 19 of 19 matches

Bayer Leverkusen away

68% · 13 of 19 matches

Over 3.5

Bayern München at home

84% · 16 of 19 matches

Bayer Leverkusen away

53% · 10 of 19 matches

Both teams scored

Bayern München at home

68% · 13 of 19 matches

Bayer Leverkusen away

68% · 13 of 19 matches

Clean sheet

Bayern München at home

32% · 6 of 19 matches

Bayer Leverkusen away

11% · 2 of 19 matches

Failed to score

Bayern München at home

0% · 0 of 19 matches

Bayer Leverkusen away

21% · 4 of 19 matches

Total corner average

Bayern München at home

10.84 · 19 matches

Bayer Leverkusen away

9.63 · 19 matches

Over 8.5 corners

Bayern München at home

68% · 13 of 19 matches

Bayer Leverkusen away

63% · 12 of 19 matches

Total card average

Bayern München at home

3.06 · 18 matches

Bayer Leverkusen away

4.79 · 19 matches

Players and goalkeepers

Pre-match highlights

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

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

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 home team scoring.
  • Recent histories converge towards matches with three or more goals.

Descriptive analysis based exclusively on available frequencies.