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FC Schalke 04 vs Borussia Mönchengladbach: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 14

· LONDON TIME · Veltins Arena · Referee: not provided

FC Schalke 04

FC Schalke 04

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

VSBorussia Mönchengladbach

Borussia Mönchengladbach

18 · 0 pts · 4 P · 0 W · 0 D · 4 L · GD -10

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

62.5%

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

Model factors

  • League average — goals: 3.36

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.71 × 0.98

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

  • Opponent strength: 1504 × 1442

    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: 64.3

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

  • Sample per team: 4 / 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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.71 × 0.98

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

  • Signal consensus: 99.1

    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 62.5%, low confidence and a sample of 4 matches per team.

League average — goals: 3.36 (Weighted average using only matches played before the fixture.) Home/away strength: 1.71 × 0.98 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1504 × 1442 (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

75.6%

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

Model factors

  • League average — goals: 3.36

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.71 × 0.98

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

  • Opponent strength: 1504 × 1442

    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: 64.3

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

  • Sample per team: 4 / 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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.71 × 0.98

    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: 89.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 75.6%, low confidence and a sample of 4 matches per team.

League average — goals: 3.36 (Weighted average using only matches played before the fixture.) Home/away strength: 1.71 × 0.98 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1504 × 1442 (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

77.7%

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

Model factors

  • League average — goals: 3.36

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.71 × 0.98

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

  • Opponent strength: 1504 × 1442

    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: 64.3

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

  • Sample per team: 4 / 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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.71 × 0.98

    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: 75.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 77.7%, low confidence and a sample of 4 matches per team.

League average — goals: 3.36 (Weighted average using only matches played before the fixture.) Home/away strength: 1.71 × 0.98 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1504 × 1442 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

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

Double chance X2

46.7%

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

Model factors

  • League average — goals: 3.36

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.71 × 0.98

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

  • Opponent strength: 1504 × 1442

    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: 64.3

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

  • Sample per team: 4 / 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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.71 × 0.98

    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: 65.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 46.7%, low confidence and a sample of 4 matches per team.

League average — goals: 3.36 (Weighted average using only matches played before the fixture.) Home/away strength: 1.71 × 0.98 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1504 × 1442 (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

92.0%

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

Model factors

  • League average — goals: 3.36

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.71 × 0.98

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

  • Opponent strength: 1504 × 1442

    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: 64.3

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

  • Sample per team: 4 / 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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.71 × 0.98

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

  • Signal consensus: 82.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 92.0%, low confidence and a sample of 4 matches per team.

League average — goals: 3.36 (Weighted average using only matches played before the fixture.) Home/away strength: 1.71 × 0.98 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1504 × 1442 (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

47.2%

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

Model factors

  • League average — goals: 3.36

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.71 × 0.98

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

  • Opponent strength: 1504 × 1442

    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: 64.3

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

  • Sample per team: 4 / 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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.71 × 0.98

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

  • Signal consensus: 47.9

    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 47.2%, low confidence and a sample of 4 matches per team.

League average — goals: 3.36 (Weighted average using only matches played before the fixture.) Home/away strength: 1.71 × 0.98 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1504 × 1442 (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

90.8%

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

Model factors

  • League average — shots: 27.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 15.03 × 12.71

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

  • Opponent strength: 1504 × 1442

    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: 4 / 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: 27.74

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

  • Signal consensus: 82.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 90.8%, low confidence and a sample of 4 matches per team.

League average — shots: 27.64 (Weighted average using only matches played before the fixture.) Home/away strength: 15.03 × 12.71 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1504 × 1442 (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

22.3%

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

Model factors

  • League average — goals: 3.36

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.71 × 0.98

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

  • Opponent strength: 1504 × 1442

    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: 64.3

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

  • Sample per team: 4 / 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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.71 × 0.98

    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: 75.9

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.4%

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

Model factors

  • League average — goals: 3.36

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.71 × 0.98

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

  • Opponent strength: 1504 × 1442

    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: 64.3

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

  • Sample per team: 4 / 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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.71 × 0.98

    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: 89.3

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

53.3%

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

Model factors

  • League average — goals: 3.36

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.71 × 0.98

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

  • Opponent strength: 1504 × 1442

    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: 64.3

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

  • Sample per team: 4 / 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: not used

    Coverage or sample was insufficient before this fixture.

  • Model expected goals: 1.71 × 0.98

    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: 65.5

    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 4 recent matches, FC Schalke 04 recorded 1 win, 2 draws and 1 defeat and averaged 0.75 goals scored per match. Borussia Mönchengladbach's 10-match sample contains 2 wins, 2 draws and 6 defeats, with 1.30 goals scored per match.

The venue split shows FC Schalke 04 at home with 0 wins, 2 draws and 0 defeats in 2 matches, averaging 0.00 goals scored and 0.00 goals conceded. Away from home, Borussia Mönchengladbach has 3 wins, 5 draws and 11 defeats in 19 matches, with 0.95 goals scored and 1.95 goals conceded.

Both teams scored in 1 of 4 matches (25%) of FC Schalke 04's sample and 4 of 10 matches (40%) of Borussia Mönchengladbach's. Over 2.5 goals occurred in 2 of 4 matches (50%) and 6 of 10 matches (60%), respectively.

Shot volume separates the sides at 11.75 per match for FC Schalke 04 and 13.70 for Borussia Mönchengladbach. On target, the averages are 4.25 and 4.00, 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

FC Schalke 04

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

Last 5

Borussia Mönchengladbach

5 matches
LLLLW
W
1
D
0
L
4
GF
10
GA
16

Last 4

FC Schalke 04

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

Last 10

Borussia Mönchengladbach

10 matches
LLLLWLWDDL
W
2
D
2
L
6
GF
13
GA
21

Last 4

FC Schalke 04

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

Last 20

Borussia Mönchengladbach

20 matches
LLLLWLWDDLDDWLWLLDDL
W
4
D
6
L
10
GF
25
GA
40

Season

FC Schalke 04

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

Season

Borussia Mönchengladbach

38 matches
LLLLWLWDDLDDWLWLLDDLDLWLLWDWWWLLDLDLLD
W
9
D
11
L
18
GF
48
GA
69

Goals

Frequencies across the last 10

Average goals scored

FC Schalke 04

0.75 · 4 matches

Borussia Mönchengladbach

1.30 · 10 matches

Average goals conceded

FC Schalke 04

1.00 · 4 matches

Borussia Mönchengladbach

2.10 · 10 matches

Over 0.5

FC Schalke 04

50% · 2 of 4 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 1.5

FC Schalke 04

50% · 2 of 4 matches

Borussia Mönchengladbach

70% · 7 of 10 matches

Over 2.5

FC Schalke 04

50% · 2 of 4 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 3.5

FC Schalke 04

25% · 1 of 4 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Both teams scored

FC Schalke 04

25% · 1 of 4 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Clean sheet

FC Schalke 04

50% · 2 of 4 matches

Borussia Mönchengladbach

30% · 3 of 10 matches

Failed to score

FC Schalke 04

75% · 3 of 4 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Corners

Volume and observed lines

Average for

FC Schalke 04

3.00 · 4 matches

Borussia Mönchengladbach

4.10 · 10 matches

Average against

FC Schalke 04

7.50 · 4 matches

Borussia Mönchengladbach

5.90 · 10 matches

Total average

FC Schalke 04

10.50 · 4 matches

Borussia Mönchengladbach

10.00 · 10 matches

Over 7.5

FC Schalke 04

100% · 4 of 4 matches

Borussia Mönchengladbach

70% · 7 of 10 matches

Over 8.5

FC Schalke 04

75% · 3 of 4 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 9.5

FC Schalke 04

50% · 2 of 4 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 10.5

FC Schalke 04

50% · 2 of 4 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Over 11.5

FC Schalke 04

25% · 1 of 4 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

FC Schalke 04

1.25 · 4 matches

Borussia Mönchengladbach

3.10 · 10 matches

Opponent average

FC Schalke 04

2.00 · 4 matches

Borussia Mönchengladbach

2.50 · 10 matches

Total average

FC Schalke 04

3.25 · 4 matches

Borussia Mönchengladbach

5.60 · 10 matches

Over 2.5

FC Schalke 04

75% · 3 of 4 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 3.5

FC Schalke 04

50% · 2 of 4 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 4.5

FC Schalke 04

0% · 0 of 4 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Over 5.5

FC Schalke 04

0% · 0 of 4 matches

Borussia Mönchengladbach

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

FC Schalke 04

7.75 · 4 matches

Borussia Mönchengladbach

11.60 · 10 matches

Opponent average

FC Schalke 04

9.50 · 4 matches

Borussia Mönchengladbach

11.10 · 10 matches

Total average

FC Schalke 04

17.25 · 4 matches

Borussia Mönchengladbach

22.70 · 10 matches

Shots

Production and concessions

Average shots

FC Schalke 04

11.75 · 4 matches

Borussia Mönchengladbach

13.70 · 10 matches

Average shots on target

FC Schalke 04

4.25 · 4 matches

Borussia Mönchengladbach

4.00 · 10 matches

Average shots conceded

FC Schalke 04

17.50 · 4 matches

Borussia Mönchengladbach

16.00 · 10 matches

Average shots on target conceded

FC Schalke 04

6.75 · 4 matches

Borussia Mönchengladbach

7.40 · 10 matches

Average xG

FC Schalke 04

1.16 · 2 matches

Borussia Mönchengladbach

1.36 · 8 matches

Average xG against

FC Schalke 04

2.83 · 2 matches

Borussia Mönchengladbach

2.15 · 8 matches

Home vs away

FC Schalke 04 at home × Borussia Mönchengladbach away

FC Schalke 04 at home

FC Schalke 04

2 matches
DD
W
0
D
2
L
0
GF
0
GA
0

Borussia Mönchengladbach away

Borussia Mönchengladbach

19 matches
LLLDLDLLLDDLLWWWLDL
W
3
D
5
L
11
GF
18
GA
37
Average goals scored

FC Schalke 04 at home

0.00 · 2 matches

Borussia Mönchengladbach away

0.95 · 19 matches

Average goals conceded

FC Schalke 04 at home

0.00 · 2 matches

Borussia Mönchengladbach away

1.95 · 19 matches

Over 0.5

FC Schalke 04 at home

0% · 0 of 2 matches

Borussia Mönchengladbach away

89% · 17 of 19 matches

Over 1.5

FC Schalke 04 at home

0% · 0 of 2 matches

Borussia Mönchengladbach away

74% · 14 of 19 matches

Over 2.5

FC Schalke 04 at home

0% · 0 of 2 matches

Borussia Mönchengladbach away

58% · 11 of 19 matches

Over 3.5

FC Schalke 04 at home

0% · 0 of 2 matches

Borussia Mönchengladbach away

37% · 7 of 19 matches

Both teams scored

FC Schalke 04 at home

0% · 0 of 2 matches

Borussia Mönchengladbach away

42% · 8 of 19 matches

Clean sheet

FC Schalke 04 at home

100% · 2 of 2 matches

Borussia Mönchengladbach away

26% · 5 of 19 matches

Failed to score

FC Schalke 04 at home

100% · 2 of 2 matches

Borussia Mönchengladbach away

42% · 8 of 19 matches

Total corner average

FC Schalke 04 at home

9.50 · 2 matches

Borussia Mönchengladbach away

9.89 · 19 matches

Over 8.5 corners

FC Schalke 04 at home

50% · 1 of 2 matches

Borussia Mönchengladbach away

58% · 11 of 19 matches

Total card average

FC Schalke 04 at home

3.50 · 2 matches

Borussia Mönchengladbach away

4.16 · 19 matches

Players and goalkeepers

Pre-match highlights

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

Borussia Mönchengladbach

H. Bolin

Midfielder

7.14

4 matches · 309 min

2 goals · 0 assists · 5 of 7 shots on target

F. Honorat

Midfielder

6.50

4 matches · 238 min

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

L. Ullrich

Midfielder

4.91

4 matches · 235 min

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

S. Machino

Forward

6.70

2 matches · 51 min

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

I. Lidberg

Forward

6.58

4 matches · 152 min

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

M. Nicolas

Goalkeeper

6.83

4 matches · 360 min

22 saves · 7 goals conceded

D. Batz

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.