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Bayer Leverkusen vs FC Schalke 04: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 17

· LONDON TIME · BayArena · Referee: not provided

Bayer Leverkusen

Bayer Leverkusen

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

VSFC Schalke 04

FC Schalke 04

11 · 5 pts · 4 P · 1 W · 2 D · 1 L · GD -1

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

58.4%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.05

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.05

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

  • Signal consensus: 11.4

    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 58.4%, low confidence and a sample of 4 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1504 (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

77.6%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.05

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.05

    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: 84.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 77.6%, low confidence and a sample of 4 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1504 (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

79.3%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.05

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.05

    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: 73

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 79.3%, low confidence and a sample of 4 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1504 (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

43.2%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.05

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.05

    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: 58.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 43.2%, low confidence and a sample of 4 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1504 (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

94.6%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.05

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.05

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

  • Signal consensus: 93.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.6%, low confidence and a sample of 4 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1504 (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

58.0%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.05

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.05

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

  • Signal consensus: 99.6

    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 58.0%, low confidence and a sample of 4 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.95 × 1.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1504 (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

94.1%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — shots: 27.5

    Weighted average using only matches played before the fixture.

  • Home/away strength: 18.56 × 11.01

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: 29.57

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

  • Signal consensus: 76.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 94.1%, low confidence and a sample of 4 matches per team.

League average — shots: 27.5 (Weighted average using only matches played before the fixture.) Home/away strength: 18.56 × 11.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1557 × 1504 (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

20.7%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.05

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.05

    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: 73

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

22.4%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.05

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.05

    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: 84.7

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

56.8%

low
View full analysis
Sample
4 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.95 × 1.05

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

  • Opponent strength: 1557 × 1504

    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 / 4

    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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.95 × 1.05

    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: 58.1

    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. FC Schalke 04's 4-match sample contains 1 win, 2 draws and 1 defeat, with 0.75 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, FC Schalke 04 has 1 win, 0 draws and 1 defeat in 2 matches, with 1.50 goals scored and 2.00 goals conceded.

Both teams scored in 7 of 10 matches (70%) of Bayer Leverkusen's sample and 1 of 4 matches (25%) of FC Schalke 04's. Over 2.5 goals occurred in 7 of 10 matches (70%) and 2 of 4 matches (50%), respectively.

Shot volume separates the sides at 20.00 per match for Bayer Leverkusen and 11.75 for FC Schalke 04. On target, the averages are 6.40 and 4.25, 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

FC Schalke 04

4 matches
DWDL
W
1
D
2
L
1
GF
3
GA
4

Last 10

Bayer Leverkusen

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

Last 4

FC Schalke 04

4 matches
DWDL
W
1
D
2
L
1
GF
3
GA
4

Last 20

Bayer Leverkusen

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

Last 4

FC Schalke 04

4 matches
DWDL
W
1
D
2
L
1
GF
3
GA
4

Season

Bayer Leverkusen

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

Season

FC Schalke 04

4 matches
DWDL
W
1
D
2
L
1
GF
3
GA
4

Goals

Frequencies across the last 10

Average goals scored

Bayer Leverkusen

2.00 · 10 matches

FC Schalke 04

0.75 · 4 matches

Average goals conceded

Bayer Leverkusen

1.30 · 10 matches

FC Schalke 04

1.00 · 4 matches

Over 0.5

Bayer Leverkusen

100% · 10 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 1.5

Bayer Leverkusen

90% · 9 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 2.5

Bayer Leverkusen

70% · 7 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 3.5

Bayer Leverkusen

50% · 5 of 10 matches

FC Schalke 04

25% · 1 of 4 matches

Both teams scored

Bayer Leverkusen

70% · 7 of 10 matches

FC Schalke 04

25% · 1 of 4 matches

Clean sheet

Bayer Leverkusen

30% · 3 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Failed to score

Bayer Leverkusen

0% · 0 of 10 matches

FC Schalke 04

75% · 3 of 4 matches

Corners

Volume and observed lines

Average for

Bayer Leverkusen

7.90 · 10 matches

FC Schalke 04

3.00 · 4 matches

Average against

Bayer Leverkusen

3.70 · 10 matches

FC Schalke 04

7.50 · 4 matches

Total average

Bayer Leverkusen

11.60 · 10 matches

FC Schalke 04

10.50 · 4 matches

Over 7.5

Bayer Leverkusen

80% · 8 of 10 matches

FC Schalke 04

100% · 4 of 4 matches

Over 8.5

Bayer Leverkusen

80% · 8 of 10 matches

FC Schalke 04

75% · 3 of 4 matches

Over 9.5

Bayer Leverkusen

80% · 8 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 10.5

Bayer Leverkusen

60% · 6 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 11.5

Bayer Leverkusen

50% · 5 of 10 matches

FC Schalke 04

25% · 1 of 4 matches

Cards

Averages and frequencies

Team average

Bayer Leverkusen

1.40 · 10 matches

FC Schalke 04

1.25 · 4 matches

Opponent average

Bayer Leverkusen

2.10 · 10 matches

FC Schalke 04

2.00 · 4 matches

Total average

Bayer Leverkusen

3.50 · 10 matches

FC Schalke 04

3.25 · 4 matches

Over 2.5

Bayer Leverkusen

90% · 9 of 10 matches

FC Schalke 04

75% · 3 of 4 matches

Over 3.5

Bayer Leverkusen

40% · 4 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 4.5

Bayer Leverkusen

20% · 2 of 10 matches

FC Schalke 04

0% · 0 of 4 matches

Over 5.5

Bayer Leverkusen

0% · 0 of 10 matches

FC Schalke 04

0% · 0 of 4 matches

Fouls

Match intensity

Committed average

Bayer Leverkusen

9.10 · 10 matches

FC Schalke 04

7.75 · 4 matches

Opponent average

Bayer Leverkusen

10.40 · 10 matches

FC Schalke 04

9.50 · 4 matches

Total average

Bayer Leverkusen

19.50 · 10 matches

FC Schalke 04

17.25 · 4 matches

Shots

Production and concessions

Average shots

Bayer Leverkusen

20.00 · 10 matches

FC Schalke 04

11.75 · 4 matches

Average shots on target

Bayer Leverkusen

6.40 · 10 matches

FC Schalke 04

4.25 · 4 matches

Average shots conceded

Bayer Leverkusen

13.90 · 10 matches

FC Schalke 04

17.50 · 4 matches

Average shots on target conceded

Bayer Leverkusen

5.00 · 10 matches

FC Schalke 04

6.75 · 4 matches

Average xG

Bayer Leverkusen

2.37 · 8 matches

FC Schalke 04

1.16 · 2 matches

Average xG against

Bayer Leverkusen

1.67 · 8 matches

FC Schalke 04

2.83 · 2 matches

Home vs away

Bayer Leverkusen at home × FC Schalke 04 away

Bayer Leverkusen at home

Bayer Leverkusen

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

FC Schalke 04 away

FC Schalke 04

2 matches
WL
W
1
D
0
L
1
GF
3
GA
4
Average goals scored

Bayer Leverkusen at home

2.32 · 19 matches

FC Schalke 04 away

1.50 · 2 matches

Average goals conceded

Bayer Leverkusen at home

1.00 · 19 matches

FC Schalke 04 away

2.00 · 2 matches

Over 0.5

Bayer Leverkusen at home

100% · 19 of 19 matches

FC Schalke 04 away

100% · 2 of 2 matches

Over 1.5

Bayer Leverkusen at home

95% · 18 of 19 matches

FC Schalke 04 away

100% · 2 of 2 matches

Over 2.5

Bayer Leverkusen at home

53% · 10 of 19 matches

FC Schalke 04 away

100% · 2 of 2 matches

Over 3.5

Bayer Leverkusen at home

37% · 7 of 19 matches

FC Schalke 04 away

50% · 1 of 2 matches

Both teams scored

Bayer Leverkusen at home

58% · 11 of 19 matches

FC Schalke 04 away

50% · 1 of 2 matches

Clean sheet

Bayer Leverkusen at home

42% · 8 of 19 matches

FC Schalke 04 away

0% · 0 of 2 matches

Failed to score

Bayer Leverkusen at home

0% · 0 of 19 matches

FC Schalke 04 away

50% · 1 of 2 matches

Total corner average

Bayer Leverkusen at home

10.37 · 19 matches

FC Schalke 04 away

11.50 · 2 matches

Over 8.5 corners

Bayer Leverkusen at home

68% · 13 of 19 matches

FC Schalke 04 away

100% · 2 of 2 matches

Total card average

Bayer Leverkusen at home

4.74 · 19 matches

FC Schalke 04 away

3.00 · 2 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

FC Schalke 04

A. Aouchiche

Midfielder

7.28

4 matches · 329 min

1 goals · 0 assists · 5 of 10 shots on target

Hwang Hee-Chan

Forward

6.73

2 matches · 30 min

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

R. Gosens

Midfielder

6.66

4 matches · 243 min

1 goals · 0 assists · 1 of 4 shots on target

M. Wöber

Centre-back

6.54

4 matches · 82 min

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

J. Adamu

Forward

4.46

3 matches · 142 min

0 goals · 1 assists · 2 of 5 shots on target

L. Karius

Goalkeeper

7.44

4 matches · 360 min

23 saves · 3 goals conceded

K. Müller

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Insufficient data

Combined view

Data convergences

No strong convergence was identified from the available samples.

Descriptive analysis based exclusively on available frequencies.