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Borussia Dortmund vs FC Augsburg: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 13

· LONDON TIME · Signal Iduna Park · Referee: not provided

Borussia Dortmund

Borussia Dortmund

1 · 12 pts · 4 P · 4 W · 0 D · 0 L · GD 7

VSFC Augsburg

FC Augsburg

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

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

66.5%

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: 2.36 × 0.97

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

  • Opponent strength: 1636 × 1502

    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: 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: 2.34 × 1.11

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

  • Model expected goals: 2.35 × 1.01

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

  • Signal consensus: 62.1

    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 66.5%, 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: 2.36 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1502 (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

81.0%

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: 2.36 × 0.97

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

  • Opponent strength: 1636 × 1502

    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: 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: 2.34 × 1.11

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

  • Model expected goals: 2.35 × 1.01

    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: 94.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 81.0%, 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: 2.36 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1502 (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

84.2%

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: 2.36 × 0.97

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

  • Opponent strength: 1636 × 1502

    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: 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: 2.34 × 1.11

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

  • Model expected goals: 2.35 × 1.01

    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: 46

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 84.2%, 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: 2.36 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1502 (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

34.8%

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: 2.36 × 0.97

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

  • Opponent strength: 1636 × 1502

    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: 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: 2.34 × 1.11

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

  • Model expected goals: 2.35 × 1.01

    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: 41.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 34.8%, 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: 2.36 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1502 (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

96.8%

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: 2.36 × 0.97

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

  • Opponent strength: 1636 × 1502

    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: 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: 2.34 × 1.11

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

  • Model expected goals: 2.35 × 1.01

    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 96.8%, 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: 2.36 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1502 (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

68.6%

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: 2.36 × 0.97

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

  • Opponent strength: 1636 × 1502

    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: 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: 2.34 × 1.11

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

  • Model expected goals: 2.35 × 1.01

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

  • Signal consensus: 93.7

    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 68.6%, 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: 2.36 × 0.97 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1502 (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

90.6%

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

Model factors

  • League average — shots: 27.67

    Weighted average using only matches played before the fixture.

  • Home/away strength: 17.53 × 9.92

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

  • Opponent strength: 1636 × 1502

    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: 27.45

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

  • Signal consensus: 91.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 90.6%, high confidence and a sample of 38 matches per team.

League average — shots: 27.67 (Weighted average using only matches played before the fixture.) Home/away strength: 17.53 × 9.92 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1636 × 1502 (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

15.8%

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: 2.36 × 0.97

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

  • Opponent strength: 1636 × 1502

    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: 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: 2.34 × 1.11

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

  • Model expected goals: 2.35 × 1.01

    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: 46

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

19.0%

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: 2.36 × 0.97

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

  • Opponent strength: 1636 × 1502

    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: 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: 2.34 × 1.11

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

  • Model expected goals: 2.35 × 1.01

    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: 94.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

65.2%

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: 2.36 × 0.97

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

  • Opponent strength: 1636 × 1502

    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: 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: 2.34 × 1.11

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

  • Model expected goals: 2.35 × 1.01

    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: 41.2

    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, Borussia Dortmund recorded 7 wins, 0 draws and 3 defeats and averaged 1.90 goals scored per match. FC Augsburg's 10-match sample contains 5 wins, 3 draws and 2 defeats, with 2.20 goals scored per match.

The venue split shows Borussia Dortmund at home with 15 wins, 2 draws and 2 defeats in 19 matches, averaging 2.37 goals scored and 0.84 goals conceded. Away from home, FC Augsburg has 6 wins, 2 draws and 11 defeats in 19 matches, with 1.37 goals scored and 1.95 goals conceded.

Both teams scored in 3 of 10 matches (30%) of Borussia Dortmund's sample and 8 of 10 matches (80%) of FC Augsburg's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 9 of 10 matches (90%), respectively.

Shot volume separates the sides at 13.20 per match for Borussia Dortmund and 14.00 for FC Augsburg. On target, the averages are 4.70 and 6.30, 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

Borussia Dortmund

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

Last 5

FC Augsburg

5 matches
LDWWL
W
2
D
1
L
2
GF
11
GA
10

Last 10

Borussia Dortmund

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

Last 10

FC Augsburg

10 matches
LDWWLWWDWD
W
5
D
3
L
2
GF
22
GA
16

Last 20

Borussia Dortmund

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

Last 20

FC Augsburg

20 matches
LDWWLWWDWDDLLLWWWLWW
W
10
D
4
L
6
GF
36
GA
32

Season

Borussia Dortmund

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

Season

FC Augsburg

38 matches
LDWWLWWDWDDLLLWWWLWWDDLDLWLWLLLDWLLLLW
W
14
D
8
L
16
GF
56
GA
67

Goals

Frequencies across the last 10

Average goals scored

Borussia Dortmund

1.90 · 10 matches

FC Augsburg

2.20 · 10 matches

Average goals conceded

Borussia Dortmund

0.80 · 10 matches

FC Augsburg

1.60 · 10 matches

Over 0.5

Borussia Dortmund

100% · 10 of 10 matches

FC Augsburg

100% · 10 of 10 matches

Over 1.5

Borussia Dortmund

70% · 7 of 10 matches

FC Augsburg

100% · 10 of 10 matches

Over 2.5

Borussia Dortmund

50% · 5 of 10 matches

FC Augsburg

90% · 9 of 10 matches

Over 3.5

Borussia Dortmund

30% · 3 of 10 matches

FC Augsburg

70% · 7 of 10 matches

Both teams scored

Borussia Dortmund

30% · 3 of 10 matches

FC Augsburg

80% · 8 of 10 matches

Clean sheet

Borussia Dortmund

50% · 5 of 10 matches

FC Augsburg

10% · 1 of 10 matches

Failed to score

Borussia Dortmund

20% · 2 of 10 matches

FC Augsburg

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Borussia Dortmund

4.00 · 10 matches

FC Augsburg

5.00 · 10 matches

Average against

Borussia Dortmund

3.60 · 10 matches

FC Augsburg

6.40 · 10 matches

Total average

Borussia Dortmund

7.60 · 10 matches

FC Augsburg

11.40 · 10 matches

Over 7.5

Borussia Dortmund

60% · 6 of 10 matches

FC Augsburg

80% · 8 of 10 matches

Over 8.5

Borussia Dortmund

40% · 4 of 10 matches

FC Augsburg

70% · 7 of 10 matches

Over 9.5

Borussia Dortmund

30% · 3 of 10 matches

FC Augsburg

70% · 7 of 10 matches

Over 10.5

Borussia Dortmund

10% · 1 of 10 matches

FC Augsburg

60% · 6 of 10 matches

Over 11.5

Borussia Dortmund

10% · 1 of 10 matches

FC Augsburg

60% · 6 of 10 matches

Cards

Averages and frequencies

Team average

Borussia Dortmund

2.44 · 9 matches

FC Augsburg

1.60 · 10 matches

Opponent average

Borussia Dortmund

1.44 · 9 matches

FC Augsburg

1.80 · 10 matches

Total average

Borussia Dortmund

3.89 · 9 matches

FC Augsburg

3.40 · 10 matches

Over 2.5

Borussia Dortmund

78% · 7 of 9 matches

FC Augsburg

60% · 6 of 10 matches

Over 3.5

Borussia Dortmund

56% · 5 of 9 matches

FC Augsburg

40% · 4 of 10 matches

Over 4.5

Borussia Dortmund

33% · 3 of 9 matches

FC Augsburg

10% · 1 of 10 matches

Over 5.5

Borussia Dortmund

22% · 2 of 9 matches

FC Augsburg

10% · 1 of 10 matches

Fouls

Match intensity

Committed average

Borussia Dortmund

11.70 · 10 matches

FC Augsburg

8.10 · 10 matches

Opponent average

Borussia Dortmund

10.80 · 10 matches

FC Augsburg

10.00 · 10 matches

Total average

Borussia Dortmund

22.50 · 10 matches

FC Augsburg

18.10 · 10 matches

Shots

Production and concessions

Average shots

Borussia Dortmund

13.20 · 10 matches

FC Augsburg

14.00 · 10 matches

Average shots on target

Borussia Dortmund

4.70 · 10 matches

FC Augsburg

6.30 · 10 matches

Average shots conceded

Borussia Dortmund

10.90 · 10 matches

FC Augsburg

19.90 · 10 matches

Average shots on target conceded

Borussia Dortmund

3.70 · 10 matches

FC Augsburg

6.70 · 10 matches

Average xG

Borussia Dortmund

1.76 · 8 matches

FC Augsburg

1.99 · 8 matches

Average xG against

Borussia Dortmund

1.19 · 8 matches

FC Augsburg

2.05 · 8 matches

Home vs away

Borussia Dortmund at home × FC Augsburg away

Borussia Dortmund at home

Borussia Dortmund

19 matches
WWWWLWWLWWWWWWDWDWW
W
15
D
2
L
2
GF
45
GA
16

FC Augsburg away

FC Augsburg

19 matches
LWLWWDLLWLWLLLLDLLW
W
6
D
2
L
11
GF
26
GA
37
Average goals scored

Borussia Dortmund at home

2.37 · 19 matches

FC Augsburg away

1.37 · 19 matches

Average goals conceded

Borussia Dortmund at home

0.84 · 19 matches

FC Augsburg away

1.95 · 19 matches

Over 0.5

Borussia Dortmund at home

100% · 19 of 19 matches

FC Augsburg away

100% · 19 of 19 matches

Over 1.5

Borussia Dortmund at home

84% · 16 of 19 matches

FC Augsburg away

95% · 18 of 19 matches

Over 2.5

Borussia Dortmund at home

58% · 11 of 19 matches

FC Augsburg away

74% · 14 of 19 matches

Over 3.5

Borussia Dortmund at home

42% · 8 of 19 matches

FC Augsburg away

42% · 8 of 19 matches

Both teams scored

Borussia Dortmund at home

37% · 7 of 19 matches

FC Augsburg away

68% · 13 of 19 matches

Clean sheet

Borussia Dortmund at home

58% · 11 of 19 matches

FC Augsburg away

0% · 0 of 19 matches

Failed to score

Borussia Dortmund at home

5% · 1 of 19 matches

FC Augsburg away

32% · 6 of 19 matches

Total corner average

Borussia Dortmund at home

10.26 · 19 matches

FC Augsburg away

9.74 · 19 matches

Over 8.5 corners

Borussia Dortmund at home

68% · 13 of 19 matches

FC Augsburg away

63% · 12 of 19 matches

Total card average

Borussia Dortmund at home

2.94 · 17 matches

FC Augsburg away

4.06 · 18 matches

Players and goalkeepers

Pre-match highlights

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

FC Augsburg

F. Rieder

Midfielder

7.36

4 matches · 353 min

1 goals · 3 assists · 4 of 6 shots on target

M. Gregoritsch

Forward

7.41

4 matches · 293 min

3 goals · 0 assists · 8 of 9 shots on target

A. Kade

Forward

9.70

1 matches · 90 min

1 goals · 1 assists · 4 of 5 shots on target

A. Claude-Maurice

Midfielder

6.73

3 matches · 98 min

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

R. Fellhauer

Midfielder

6.41

4 matches · 304 min

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

F. Dahmen

Goalkeeper

7.57

4 matches · 360 min

21 saves · 1 goals conceded

N. Labrović

Goalkeeper

0.00

2 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Borussia Dortmund 2 × 0 FC Augsburg1388535
FC Augsburg 0 × 1 Borussia Dortmund1388380
Average goals
1.50 · 2 matches
Both teams scored
0% · 0 of 2 matches
Over 2.5
0% · 0 of 2 matches

H2H corners: 10.50 · 2 matches

Combined view

Data convergences

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

Descriptive analysis based exclusively on available frequencies.