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Werder Bremen vs Borussia Mönchengladbach: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 11

· LONDON TIME · Weserstadion · Referee: not provided

Werder Bremen

Werder Bremen

8 · 7 pts · 4 P · 2 W · 1 D · 1 L · GD 0

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

72.1%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.35

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

  • Opponent strength: 1447 × 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: 64.4

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

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.46 × 1.41

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

  • Model expected goals: 1.66 × 1.37

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

  • Signal consensus: 67.4

    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 72.1%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 1.74 × 1.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 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%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.35

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

  • Opponent strength: 1447 × 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: 64.4

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

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.46 × 1.41

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

  • Model expected goals: 1.66 × 1.37

    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: 97.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 75.6%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 1.74 × 1.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 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

68.3%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.35

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

  • Opponent strength: 1447 × 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: 64.4

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

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.46 × 1.41

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

  • Model expected goals: 1.66 × 1.37

    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: 87.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 68.3%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 1.74 × 1.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 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

56.2%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.35

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

  • Opponent strength: 1447 × 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: 64.4

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

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.46 × 1.41

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

  • Model expected goals: 1.66 × 1.37

    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 X2 has a model probability of 56.2%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 1.74 × 1.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 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

94.9%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.35

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

  • Opponent strength: 1447 × 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: 64.4

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

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.46 × 1.41

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

  • Model expected goals: 1.66 × 1.37

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

  • Signal consensus: 96.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.9%, high confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 1.74 × 1.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 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

45.8%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.35

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

  • Opponent strength: 1447 × 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: 64.4

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

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.46 × 1.41

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

  • Model expected goals: 1.66 × 1.37

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

  • Signal consensus: 50.6

    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 45.8%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 1.74 × 1.35 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 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

90.4%

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

Model factors

  • League average — shots: 27.73

    Weighted average using only matches played before the fixture.

  • Home/away strength: 14.86 × 12.48

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

  • Opponent strength: 1447 × 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: 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: 27.35

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

  • Signal consensus: 92.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 90.4%, high confidence and a sample of 38 matches per team.

League average — shots: 27.73 (Weighted average using only matches played before the fixture.) Home/away strength: 14.86 × 12.48 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 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

31.7%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.35

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

  • Opponent strength: 1447 × 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: 64.4

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

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.46 × 1.41

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

  • Model expected goals: 1.66 × 1.37

    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: 87.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.4%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.35

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

  • Opponent strength: 1447 × 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: 64.4

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

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.46 × 1.41

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

  • Model expected goals: 1.66 × 1.37

    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: 97.5

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

43.8%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.74 × 1.35

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

  • Opponent strength: 1447 × 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: 64.4

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

  • Sample per team: 38 / 38

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.46 × 1.41

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

  • Model expected goals: 1.66 × 1.37

    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.

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, Werder Bremen recorded 3 wins, 2 draws and 5 defeats and averaged 1.40 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 Werder Bremen at home with 7 wins, 4 draws and 8 defeats in 19 matches, averaging 1.32 goals scored and 1.79 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 8 of 10 matches (80%) of Werder Bremen's sample and 4 of 10 matches (40%) of Borussia Mönchengladbach's. Over 2.5 goals occurred in 6 of 10 matches (60%) and 6 of 10 matches (60%), respectively.

Shot volume separates the sides at 12.30 per match for Werder Bremen and 13.70 for Borussia Mönchengladbach. On target, the averages are 5.00 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

Werder Bremen

5 matches
WDWLL
W
2
D
1
L
2
GF
8
GA
10

Last 5

Borussia Mönchengladbach

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

Last 10

Werder Bremen

10 matches
WDWLLLLDWL
W
3
D
2
L
5
GF
14
GA
19

Last 10

Borussia Mönchengladbach

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

Last 20

Werder Bremen

20 matches
WDWLLLLDWLLWLWWLLLDL
W
6
D
3
L
11
GF
24
GA
33

Last 20

Borussia Mönchengladbach

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

Season

Werder Bremen

38 matches
WDWLLLLDWLLWLWWLLLDLLDLDLLDLWDWDWLLWDL
W
10
D
9
L
19
GF
45
GA
68

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

Werder Bremen

1.40 · 10 matches

Borussia Mönchengladbach

1.30 · 10 matches

Average goals conceded

Werder Bremen

1.90 · 10 matches

Borussia Mönchengladbach

2.10 · 10 matches

Over 0.5

Werder Bremen

100% · 10 of 10 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 1.5

Werder Bremen

90% · 9 of 10 matches

Borussia Mönchengladbach

70% · 7 of 10 matches

Over 2.5

Werder Bremen

60% · 6 of 10 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 3.5

Werder Bremen

60% · 6 of 10 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Both teams scored

Werder Bremen

80% · 8 of 10 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Clean sheet

Werder Bremen

0% · 0 of 10 matches

Borussia Mönchengladbach

30% · 3 of 10 matches

Failed to score

Werder Bremen

20% · 2 of 10 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Corners

Volume and observed lines

Average for

Werder Bremen

4.30 · 10 matches

Borussia Mönchengladbach

4.10 · 10 matches

Average against

Werder Bremen

6.30 · 10 matches

Borussia Mönchengladbach

5.90 · 10 matches

Total average

Werder Bremen

10.60 · 10 matches

Borussia Mönchengladbach

10.00 · 10 matches

Over 7.5

Werder Bremen

90% · 9 of 10 matches

Borussia Mönchengladbach

70% · 7 of 10 matches

Over 8.5

Werder Bremen

90% · 9 of 10 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 9.5

Werder Bremen

70% · 7 of 10 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 10.5

Werder Bremen

50% · 5 of 10 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Over 11.5

Werder Bremen

30% · 3 of 10 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

Werder Bremen

1.89 · 9 matches

Borussia Mönchengladbach

3.10 · 10 matches

Opponent average

Werder Bremen

1.56 · 9 matches

Borussia Mönchengladbach

2.50 · 10 matches

Total average

Werder Bremen

3.44 · 9 matches

Borussia Mönchengladbach

5.60 · 10 matches

Over 2.5

Werder Bremen

56% · 5 of 9 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 3.5

Werder Bremen

44% · 4 of 9 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 4.5

Werder Bremen

22% · 2 of 9 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Over 5.5

Werder Bremen

22% · 2 of 9 matches

Borussia Mönchengladbach

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

Werder Bremen

10.40 · 10 matches

Borussia Mönchengladbach

11.60 · 10 matches

Opponent average

Werder Bremen

9.30 · 10 matches

Borussia Mönchengladbach

11.10 · 10 matches

Total average

Werder Bremen

19.70 · 10 matches

Borussia Mönchengladbach

22.70 · 10 matches

Shots

Production and concessions

Average shots

Werder Bremen

12.30 · 10 matches

Borussia Mönchengladbach

13.70 · 10 matches

Average shots on target

Werder Bremen

5.00 · 10 matches

Borussia Mönchengladbach

4.00 · 10 matches

Average shots conceded

Werder Bremen

16.10 · 10 matches

Borussia Mönchengladbach

16.00 · 10 matches

Average shots on target conceded

Werder Bremen

5.50 · 10 matches

Borussia Mönchengladbach

7.40 · 10 matches

Average xG

Werder Bremen

1.01 · 8 matches

Borussia Mönchengladbach

1.36 · 8 matches

Average xG against

Werder Bremen

2.05 · 8 matches

Borussia Mönchengladbach

2.15 · 8 matches

Home vs away

Werder Bremen at home × Borussia Mönchengladbach away

Werder Bremen at home

Werder Bremen

19 matches
WWLLWLLWLDLDLDWWWLD
W
7
D
4
L
8
GF
25
GA
34

Borussia Mönchengladbach away

Borussia Mönchengladbach

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

Werder Bremen at home

1.32 · 19 matches

Borussia Mönchengladbach away

0.95 · 19 matches

Average goals conceded

Werder Bremen at home

1.79 · 19 matches

Borussia Mönchengladbach away

1.95 · 19 matches

Over 0.5

Werder Bremen at home

100% · 19 of 19 matches

Borussia Mönchengladbach away

89% · 17 of 19 matches

Over 1.5

Werder Bremen at home

89% · 17 of 19 matches

Borussia Mönchengladbach away

74% · 14 of 19 matches

Over 2.5

Werder Bremen at home

58% · 11 of 19 matches

Borussia Mönchengladbach away

58% · 11 of 19 matches

Over 3.5

Werder Bremen at home

37% · 7 of 19 matches

Borussia Mönchengladbach away

37% · 7 of 19 matches

Both teams scored

Werder Bremen at home

53% · 10 of 19 matches

Borussia Mönchengladbach away

42% · 8 of 19 matches

Clean sheet

Werder Bremen at home

16% · 3 of 19 matches

Borussia Mönchengladbach away

26% · 5 of 19 matches

Failed to score

Werder Bremen at home

32% · 6 of 19 matches

Borussia Mönchengladbach away

42% · 8 of 19 matches

Total corner average

Werder Bremen at home

7.95 · 19 matches

Borussia Mönchengladbach away

9.89 · 19 matches

Over 8.5 corners

Werder Bremen at home

58% · 11 of 19 matches

Borussia Mönchengladbach away

58% · 11 of 19 matches

Total card average

Werder Bremen at home

4.00 · 18 matches

Borussia Mönchengladbach away

4.16 · 19 matches

Players and goalkeepers

Pre-match highlights

Werder Bremen

M. Grüll

Midfielder

7.66

4 matches · 355 min

2 goals · 3 assists · 3 of 9 shots on target

N. Füllkrug

Forward

7.50

4 matches · 306 min

3 goals · 0 assists · 7 of 10 shots on target

Chuky San José

Forward

6.95

4 matches · 353 min

0 goals · 2 assists · 4 of 7 shots on target

E. Dinkçi

Forward

6.51

4 matches · 227 min

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

M. Weiser

Centre-back

6.43

2 matches · 29 min

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

K. Hein

Goalkeeper

7.03

4 matches · 360 min

11 saves · 5 goals conceded

A. Schlager

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

Werder Bremen 1 × 1 Borussia Mönchengladbach1388487
Borussia Mönchengladbach 0 × 4 Werder Bremen1388328
Average goals
3.00 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 11.50 · 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.