RadarOnze

Werder Bremen vs Borussia Dortmund: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 22

· LONDON TIME · Weserstadion · Referee: not provided

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

90.5%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.90 × 2.38

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

  • Opponent strength: 1447 × 1636

    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

    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: 1.00 × 1.99

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

  • Model expected goals: 0.93 × 2.27

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

  • Signal consensus: 88.7

    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 90.5%, high confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 0.90 × 2.38 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 1636 (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

80.6%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.90 × 2.38

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

  • Opponent strength: 1447 × 1636

    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

    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: 1.00 × 1.99

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

  • Model expected goals: 0.93 × 2.27

    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

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 80.6%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 0.90 × 2.38 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 1636 (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

34.5%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.90 × 2.38

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

  • Opponent strength: 1447 × 1636

    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

    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: 1.00 × 1.99

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

  • Model expected goals: 0.93 × 2.27

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 34.5%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 0.90 × 2.38 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 1636 (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

84.8%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.90 × 2.38

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

  • Opponent strength: 1447 × 1636

    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

    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: 1.00 × 1.99

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

  • Model expected goals: 0.93 × 2.27

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 84.8%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 0.90 × 2.38 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 1636 (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

96.3%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.90 × 2.38

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

  • Opponent strength: 1447 × 1636

    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

    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: 1.00 × 1.99

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

  • Model expected goals: 0.93 × 2.27

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

  • Signal consensus: 95.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 96.3%, high confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 0.90 × 2.38 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 1636 (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

25.2%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.90 × 2.38

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

  • Opponent strength: 1447 × 1636

    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

    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: 1.00 × 1.99

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

  • Model expected goals: 0.93 × 2.27

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

  • Signal consensus: 82.4

    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 25.2%, high confidence and a sample of 38 matches per team.

League average — goals: 3.33 (Weighted average using only matches played before the fixture.) Home/away strength: 0.90 × 2.38 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 1636 (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

84.1%

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

Model factors

  • League average — shots: 27.34

    Weighted average using only matches played before the fixture.

  • Home/away strength: 10.47 × 15.01

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

  • Opponent strength: 1447 × 1636

    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: 25.48

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

  • Signal consensus: 95.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 84.1%, high confidence and a sample of 38 matches per team.

League average — shots: 27.34 (Weighted average using only matches played before the fixture.) Home/away strength: 10.47 × 15.01 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1447 × 1636 (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

65.5%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.90 × 2.38

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

  • Opponent strength: 1447 × 1636

    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

    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: 1.00 × 1.99

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

  • Model expected goals: 0.93 × 2.27

    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: 0

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

19.4%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.90 × 2.38

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

  • Opponent strength: 1447 × 1636

    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

    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: 1.00 × 1.99

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

  • Model expected goals: 0.93 × 2.27

    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

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

15.2%

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

Model factors

  • League average — goals: 3.33

    Weighted average using only matches played before the fixture.

  • Home/away strength: 0.90 × 2.38

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

  • Opponent strength: 1447 × 1636

    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

    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: 1.00 × 1.99

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

  • Model expected goals: 0.93 × 2.27

    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: 0

    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 Dortmund's 10-match sample contains 7 wins, 0 draws and 3 defeats, with 1.90 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 Dortmund has 11 wins, 5 draws and 3 defeats in 19 matches, with 1.79 goals scored and 1.05 goals conceded.

Both teams scored in 8 of 10 matches (80%) of Werder Bremen's sample and 3 of 10 matches (30%) of Borussia Dortmund's. Over 2.5 goals occurred in 6 of 10 matches (60%) and 5 of 10 matches (50%), respectively.

Shot volume separates the sides at 12.30 per match for Werder Bremen and 13.20 for Borussia Dortmund. On target, the averages are 5.00 and 4.70, 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 Dortmund

5 matches
WWWWW
W
5
D
0
L
0
GF
11
GA
2

Last 10

Werder Bremen

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

Last 10

Borussia Dortmund

10 matches
WWWWWWLWLL
W
7
D
0
L
3
GF
19
GA
8

Last 20

Werder Bremen

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

Last 20

Borussia Dortmund

20 matches
WWWWWWLWLLWWWWLDWWWW
W
15
D
1
L
4
GF
44
GA
19

Season

Werder Bremen

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

Season

Borussia Dortmund

38 matches
WWWWWWLWLLWWWWLDWWWWWWDWDWWDDWWLDWWWWD
W
26
D
7
L
5
GF
79
GA
36

Goals

Frequencies across the last 10

Average goals scored

Werder Bremen

1.40 · 10 matches

Borussia Dortmund

1.90 · 10 matches

Average goals conceded

Werder Bremen

1.90 · 10 matches

Borussia Dortmund

0.80 · 10 matches

Over 0.5

Werder Bremen

100% · 10 of 10 matches

Borussia Dortmund

100% · 10 of 10 matches

Over 1.5

Werder Bremen

90% · 9 of 10 matches

Borussia Dortmund

70% · 7 of 10 matches

Over 2.5

Werder Bremen

60% · 6 of 10 matches

Borussia Dortmund

50% · 5 of 10 matches

Over 3.5

Werder Bremen

60% · 6 of 10 matches

Borussia Dortmund

30% · 3 of 10 matches

Both teams scored

Werder Bremen

80% · 8 of 10 matches

Borussia Dortmund

30% · 3 of 10 matches

Clean sheet

Werder Bremen

0% · 0 of 10 matches

Borussia Dortmund

50% · 5 of 10 matches

Failed to score

Werder Bremen

20% · 2 of 10 matches

Borussia Dortmund

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

Werder Bremen

4.30 · 10 matches

Borussia Dortmund

4.00 · 10 matches

Average against

Werder Bremen

6.30 · 10 matches

Borussia Dortmund

3.60 · 10 matches

Total average

Werder Bremen

10.60 · 10 matches

Borussia Dortmund

7.60 · 10 matches

Over 7.5

Werder Bremen

90% · 9 of 10 matches

Borussia Dortmund

60% · 6 of 10 matches

Over 8.5

Werder Bremen

90% · 9 of 10 matches

Borussia Dortmund

40% · 4 of 10 matches

Over 9.5

Werder Bremen

70% · 7 of 10 matches

Borussia Dortmund

30% · 3 of 10 matches

Over 10.5

Werder Bremen

50% · 5 of 10 matches

Borussia Dortmund

10% · 1 of 10 matches

Over 11.5

Werder Bremen

30% · 3 of 10 matches

Borussia Dortmund

10% · 1 of 10 matches

Cards

Averages and frequencies

Team average

Werder Bremen

1.89 · 9 matches

Borussia Dortmund

2.44 · 9 matches

Opponent average

Werder Bremen

1.56 · 9 matches

Borussia Dortmund

1.44 · 9 matches

Total average

Werder Bremen

3.44 · 9 matches

Borussia Dortmund

3.89 · 9 matches

Over 2.5

Werder Bremen

56% · 5 of 9 matches

Borussia Dortmund

78% · 7 of 9 matches

Over 3.5

Werder Bremen

44% · 4 of 9 matches

Borussia Dortmund

56% · 5 of 9 matches

Over 4.5

Werder Bremen

22% · 2 of 9 matches

Borussia Dortmund

33% · 3 of 9 matches

Over 5.5

Werder Bremen

22% · 2 of 9 matches

Borussia Dortmund

22% · 2 of 9 matches

Fouls

Match intensity

Committed average

Werder Bremen

10.40 · 10 matches

Borussia Dortmund

11.70 · 10 matches

Opponent average

Werder Bremen

9.30 · 10 matches

Borussia Dortmund

10.80 · 10 matches

Total average

Werder Bremen

19.70 · 10 matches

Borussia Dortmund

22.50 · 10 matches

Shots

Production and concessions

Average shots

Werder Bremen

12.30 · 10 matches

Borussia Dortmund

13.20 · 10 matches

Average shots on target

Werder Bremen

5.00 · 10 matches

Borussia Dortmund

4.70 · 10 matches

Average shots conceded

Werder Bremen

16.10 · 10 matches

Borussia Dortmund

10.90 · 10 matches

Average shots on target conceded

Werder Bremen

5.50 · 10 matches

Borussia Dortmund

3.70 · 10 matches

Average xG

Werder Bremen

1.01 · 8 matches

Borussia Dortmund

1.76 · 8 matches

Average xG against

Werder Bremen

2.05 · 8 matches

Borussia Dortmund

1.19 · 8 matches

Home vs away

Werder Bremen at home × Borussia Dortmund away

Werder Bremen at home

Werder Bremen

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

Borussia Dortmund away

Borussia Dortmund

19 matches
WWWLLWWDWWDDWDWLWWD
W
11
D
5
L
3
GF
34
GA
20
Average goals scored

Werder Bremen at home

1.32 · 19 matches

Borussia Dortmund away

1.79 · 19 matches

Average goals conceded

Werder Bremen at home

1.79 · 19 matches

Borussia Dortmund away

1.05 · 19 matches

Over 0.5

Werder Bremen at home

100% · 19 of 19 matches

Borussia Dortmund away

100% · 19 of 19 matches

Over 1.5

Werder Bremen at home

89% · 17 of 19 matches

Borussia Dortmund away

84% · 16 of 19 matches

Over 2.5

Werder Bremen at home

58% · 11 of 19 matches

Borussia Dortmund away

53% · 10 of 19 matches

Over 3.5

Werder Bremen at home

37% · 7 of 19 matches

Borussia Dortmund away

21% · 4 of 19 matches

Both teams scored

Werder Bremen at home

53% · 10 of 19 matches

Borussia Dortmund away

58% · 11 of 19 matches

Clean sheet

Werder Bremen at home

16% · 3 of 19 matches

Borussia Dortmund away

37% · 7 of 19 matches

Failed to score

Werder Bremen at home

32% · 6 of 19 matches

Borussia Dortmund away

5% · 1 of 19 matches

Total corner average

Werder Bremen at home

7.95 · 19 matches

Borussia Dortmund away

8.63 · 19 matches

Over 8.5 corners

Werder Bremen at home

58% · 11 of 19 matches

Borussia Dortmund away

42% · 8 of 19 matches

Total card average

Werder Bremen at home

4.00 · 18 matches

Borussia Dortmund away

4.83 · 18 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 Dortmund

S. Guirassy

Forward

7.46

4 matches · 341 min

2 goals · 2 assists · 7 of 11 shots on target

F. Nmecha

Midfielder

7.29

4 matches · 234 min

2 goals · 0 assists · 3 of 6 shots on target

Fábio Silva

Forward

7.19

3 matches · 109 min

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

M. Beier

Midfielder

7.17

4 matches · 269 min

1 goals · 1 assists · 2 of 7 shots on target

W. Anton

Centre-back

7.21

4 matches · 360 min

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

G. Kobel

Goalkeeper

6.98

4 matches · 360 min

12 saves · 2 goals conceded

A. Meyer

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Werder Bremen 0 × 2 Borussia Dortmund1388613
Borussia Dortmund 3 × 0 Werder Bremen1388453
Average goals
2.50 · 2 matches
Both teams scored
0% · 0 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 7.50 · 2 matches

Combined view

Data convergences

  • Both scopes show a high frequency of the away team scoring.

Descriptive analysis based exclusively on available frequencies.