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VfB Stuttgart vs FC Schalke 04: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 27

· LONDON TIME · MHPArena · Referee: not provided

VfB Stuttgart

VfB Stuttgart

15 · 3 pts · 4 P · 1 W · 0 D · 3 L · GD -3

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

61.3%

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

Model factors

  • League average — goals: 3.31

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.78 × 1.16

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

  • Opponent strength: 1548 × 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: 63.9

    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: 1.78 × 1.16

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

  • Signal consensus: 3

    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 61.3%, low confidence and a sample of 4 matches per team.

League average — goals: 3.31 (Weighted average using only matches played before the fixture.) Home/away strength: 1.78 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1548 × 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

76.1%

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

Model factors

  • League average — goals: 3.31

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.78 × 1.16

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

  • Opponent strength: 1548 × 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: 63.9

    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: 1.78 × 1.16

    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: 98.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 76.1%, low confidence and a sample of 4 matches per team.

League average — goals: 3.31 (Weighted average using only matches played before the fixture.) Home/away strength: 1.78 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1548 × 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

74.8%

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

Model factors

  • League average — goals: 3.31

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.78 × 1.16

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

  • Opponent strength: 1548 × 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: 63.9

    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: 1.78 × 1.16

    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 1X has a model probability of 74.8%, low confidence and a sample of 4 matches per team.

League average — goals: 3.31 (Weighted average using only matches played before the fixture.) Home/away strength: 1.78 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1548 × 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

49.1%

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

Model factors

  • League average — goals: 3.31

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.78 × 1.16

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

  • Opponent strength: 1548 × 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: 63.9

    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: 1.78 × 1.16

    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: 91.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 49.1%, low confidence and a sample of 4 matches per team.

League average — goals: 3.31 (Weighted average using only matches played before the fixture.) Home/away strength: 1.78 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1548 × 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

94.3%

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

Model factors

  • League average — goals: 3.31

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.78 × 1.16

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

  • Opponent strength: 1548 × 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: 63.9

    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: 1.78 × 1.16

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

  • Signal consensus: 94.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.3%, low confidence and a sample of 4 matches per team.

League average — goals: 3.31 (Weighted average using only matches played before the fixture.) Home/away strength: 1.78 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1548 × 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

53.4%

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

Model factors

  • League average — goals: 3.31

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.78 × 1.16

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

  • Opponent strength: 1548 × 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: 63.9

    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: 1.78 × 1.16

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

  • Signal consensus: 97.7

    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 53.4%, low confidence and a sample of 4 matches per team.

League average — goals: 3.31 (Weighted average using only matches played before the fixture.) Home/away strength: 1.78 × 1.16 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1548 × 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

93.3%

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

Model factors

  • League average — shots: 27.24

    Weighted average using only matches played before the fixture.

  • Home/away strength: 16.88 × 11.81

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

  • Opponent strength: 1548 × 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: 28.69

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

  • Signal consensus: 86.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 93.3%, low confidence and a sample of 4 matches per team.

League average — shots: 27.24 (Weighted average using only matches played before the fixture.) Home/away strength: 16.88 × 11.81 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1548 × 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

25.2%

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

Model factors

  • League average — goals: 3.31

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.78 × 1.16

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

  • Opponent strength: 1548 × 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: 63.9

    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: 1.78 × 1.16

    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.

Draw

23.9%

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

Model factors

  • League average — goals: 3.31

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.78 × 1.16

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

  • Opponent strength: 1548 × 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: 63.9

    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: 1.78 × 1.16

    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: 98.5

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

50.9%

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

Model factors

  • League average — goals: 3.31

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.78 × 1.16

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

  • Opponent strength: 1548 × 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: 63.9

    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: 1.78 × 1.16

    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: 91.6

    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, VfB Stuttgart recorded 3 wins, 3 draws and 4 defeats and averaged 2.10 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 VfB Stuttgart at home with 13 wins, 3 draws and 3 defeats in 19 matches, averaging 1.79 goals scored and 0.95 goals 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 8 of 10 matches (80%) of VfB Stuttgart's sample and 1 of 4 matches (25%) of FC Schalke 04's. Over 2.5 goals occurred in 8 of 10 matches (80%) and 2 of 4 matches (50%), respectively.

Shot volume separates the sides at 16.20 per match for VfB Stuttgart and 11.75 for FC Schalke 04. On target, the averages are 6.50 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

VfB Stuttgart

5 matches
LLWLD
W
1
D
1
L
3
GF
8
GA
11

Last 5

FC Schalke 04

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

Last 10

VfB Stuttgart

10 matches
LLWLDWDDLW
W
3
D
3
L
4
GF
21
GA
20

Last 4

FC Schalke 04

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

Last 20

VfB Stuttgart

20 matches
LLWLDWDDLWLWWDWDWLWW
W
9
D
5
L
6
GF
44
GA
32

Last 4

FC Schalke 04

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

Season

VfB Stuttgart

38 matches
LLWLDWDDLWLWWDWDWLWWDWWDWLLDWLWWWWWLWL
W
19
D
8
L
11
GF
77
GA
58

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

VfB Stuttgart

2.10 · 10 matches

FC Schalke 04

0.75 · 4 matches

Average goals conceded

VfB Stuttgart

2.00 · 10 matches

FC Schalke 04

1.00 · 4 matches

Over 0.5

VfB Stuttgart

100% · 10 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 1.5

VfB Stuttgart

90% · 9 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 2.5

VfB Stuttgart

80% · 8 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 3.5

VfB Stuttgart

70% · 7 of 10 matches

FC Schalke 04

25% · 1 of 4 matches

Both teams scored

VfB Stuttgart

80% · 8 of 10 matches

FC Schalke 04

25% · 1 of 4 matches

Clean sheet

VfB Stuttgart

10% · 1 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Failed to score

VfB Stuttgart

10% · 1 of 10 matches

FC Schalke 04

75% · 3 of 4 matches

Corners

Volume and observed lines

Average for

VfB Stuttgart

6.90 · 10 matches

FC Schalke 04

3.00 · 4 matches

Average against

VfB Stuttgart

5.50 · 10 matches

FC Schalke 04

7.50 · 4 matches

Total average

VfB Stuttgart

12.40 · 10 matches

FC Schalke 04

10.50 · 4 matches

Over 7.5

VfB Stuttgart

100% · 10 of 10 matches

FC Schalke 04

100% · 4 of 4 matches

Over 8.5

VfB Stuttgart

90% · 9 of 10 matches

FC Schalke 04

75% · 3 of 4 matches

Over 9.5

VfB Stuttgart

80% · 8 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 10.5

VfB Stuttgart

70% · 7 of 10 matches

FC Schalke 04

50% · 2 of 4 matches

Over 11.5

VfB Stuttgart

70% · 7 of 10 matches

FC Schalke 04

25% · 1 of 4 matches

Cards

Averages and frequencies

Team average

VfB Stuttgart

1.67 · 9 matches

FC Schalke 04

1.25 · 4 matches

Opponent average

VfB Stuttgart

2.00 · 9 matches

FC Schalke 04

2.00 · 4 matches

Total average

VfB Stuttgart

3.67 · 9 matches

FC Schalke 04

3.25 · 4 matches

Over 2.5

VfB Stuttgart

78% · 7 of 9 matches

FC Schalke 04

75% · 3 of 4 matches

Over 3.5

VfB Stuttgart

56% · 5 of 9 matches

FC Schalke 04

50% · 2 of 4 matches

Over 4.5

VfB Stuttgart

33% · 3 of 9 matches

FC Schalke 04

0% · 0 of 4 matches

Over 5.5

VfB Stuttgart

11% · 1 of 9 matches

FC Schalke 04

0% · 0 of 4 matches

Fouls

Match intensity

Committed average

VfB Stuttgart

9.40 · 10 matches

FC Schalke 04

7.75 · 4 matches

Opponent average

VfB Stuttgart

11.50 · 10 matches

FC Schalke 04

9.50 · 4 matches

Total average

VfB Stuttgart

20.90 · 10 matches

FC Schalke 04

17.25 · 4 matches

Shots

Production and concessions

Average shots

VfB Stuttgart

16.20 · 10 matches

FC Schalke 04

11.75 · 4 matches

Average shots on target

VfB Stuttgart

6.50 · 10 matches

FC Schalke 04

4.25 · 4 matches

Average shots conceded

VfB Stuttgart

16.10 · 10 matches

FC Schalke 04

17.50 · 4 matches

Average shots on target conceded

VfB Stuttgart

6.00 · 10 matches

FC Schalke 04

6.75 · 4 matches

Average xG

VfB Stuttgart

1.91 · 7 matches

FC Schalke 04

1.16 · 2 matches

Average xG against

VfB Stuttgart

2.27 · 7 matches

FC Schalke 04

2.83 · 2 matches

Home vs away

VfB Stuttgart at home × FC Schalke 04 away

VfB Stuttgart at home

VfB Stuttgart

19 matches
LWWDWLWWWWDWDLWWWWW
W
13
D
3
L
3
GF
34
GA
18

FC Schalke 04 away

FC Schalke 04

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

VfB Stuttgart at home

1.79 · 19 matches

FC Schalke 04 away

1.50 · 2 matches

Average goals conceded

VfB Stuttgart at home

0.95 · 19 matches

FC Schalke 04 away

2.00 · 2 matches

Over 0.5

VfB Stuttgart at home

95% · 18 of 19 matches

FC Schalke 04 away

100% · 2 of 2 matches

Over 1.5

VfB Stuttgart at home

68% · 13 of 19 matches

FC Schalke 04 away

100% · 2 of 2 matches

Over 2.5

VfB Stuttgart at home

47% · 9 of 19 matches

FC Schalke 04 away

100% · 2 of 2 matches

Over 3.5

VfB Stuttgart at home

42% · 8 of 19 matches

FC Schalke 04 away

50% · 1 of 2 matches

Both teams scored

VfB Stuttgart at home

42% · 8 of 19 matches

FC Schalke 04 away

50% · 1 of 2 matches

Clean sheet

VfB Stuttgart at home

42% · 8 of 19 matches

FC Schalke 04 away

0% · 0 of 2 matches

Failed to score

VfB Stuttgart at home

21% · 4 of 19 matches

FC Schalke 04 away

50% · 1 of 2 matches

Total corner average

VfB Stuttgart at home

10.21 · 19 matches

FC Schalke 04 away

11.50 · 2 matches

Over 8.5 corners

VfB Stuttgart at home

58% · 11 of 19 matches

FC Schalke 04 away

100% · 2 of 2 matches

Total card average

VfB Stuttgart at home

3.89 · 19 matches

FC Schalke 04 away

3.00 · 2 matches

Players and goalkeepers

Pre-match highlights

VfB Stuttgart

J. Vagnoman

Midfielder

7.02

4 matches · 351 min

2 goals · 1 assists · 3 of 6 shots on target

M. Mittelstädt

Centre-back

7.75

4 matches · 348 min

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

B. El Khannouss

Midfielder

6.72

4 matches · 203 min

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

Finn Jeltsch

Centre-back

6.59

4 matches · 360 min

0 goals · 1 assists · 1 of 6 shots on target

G. Prömel

Midfielder

6.56

4 matches · 354 min

1 goals · 0 assists · 3 of 8 shots on target

F. Bredlow

Goalkeeper

7.13

4 matches · 360 min

15 saves · 5 goals conceded

M. Funk

Goalkeeper

0.00

3 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.