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FC Augsburg vs Borussia Mönchengladbach: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 16

· LONDON TIME · WWK Arena · Referee: not provided

FC Augsburg

FC Augsburg

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

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

70.7%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.96 × 1.24

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

  • Opponent strength: 1502 × 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: 64.1

    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: 1.71 × 1.47

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

  • Model expected goals: 1.89 × 1.30

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

  • Signal consensus: 71.8

    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 70.7%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.96 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1502 × 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

76.9%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.96 × 1.24

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

  • Opponent strength: 1502 × 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: 64.1

    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: 1.71 × 1.47

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

  • Model expected goals: 1.89 × 1.30

    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: 96.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 76.9%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.96 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1502 × 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

73.2%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.96 × 1.24

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

  • Opponent strength: 1502 × 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: 64.1

    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: 1.71 × 1.47

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

  • Model expected goals: 1.89 × 1.30

    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: 89.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 73.2%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.96 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1502 × 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

49.8%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.96 × 1.24

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

  • Opponent strength: 1502 × 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: 64.1

    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: 1.71 × 1.47

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

  • Model expected goals: 1.89 × 1.30

    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: 86

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 49.8%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.96 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1502 × 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

95.5%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.96 × 1.24

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

  • Opponent strength: 1502 × 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: 64.1

    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: 1.71 × 1.47

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

  • Model expected goals: 1.89 × 1.30

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

  • Signal consensus: 93.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 95.5%, high confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.96 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1502 × 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

55.8%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.96 × 1.24

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

  • Opponent strength: 1502 × 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: 64.1

    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: 1.71 × 1.47

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

  • Model expected goals: 1.89 × 1.30

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

  • Signal consensus: 92

    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 55.8%, high confidence and a sample of 38 matches per team.

League average — goals: 3.35 (Weighted average using only matches played before the fixture.) Home/away strength: 1.96 × 1.24 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1502 × 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

93.2%

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

Model factors

  • League average — shots: 27.52

    Weighted average using only matches played before the fixture.

  • Home/away strength: 15.01 × 13.70

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

  • Opponent strength: 1502 × 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: 28.71

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

  • Signal consensus: 85.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 93.2%, high confidence and a sample of 38 matches per team.

League average — shots: 27.52 (Weighted average using only matches played before the fixture.) Home/away strength: 15.01 × 13.70 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1502 × 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

26.8%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.96 × 1.24

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

  • Opponent strength: 1502 × 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: 64.1

    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: 1.71 × 1.47

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

  • Model expected goals: 1.89 × 1.30

    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: 89.2

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

23.1%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.96 × 1.24

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

  • Opponent strength: 1502 × 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: 64.1

    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: 1.71 × 1.47

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

  • Model expected goals: 1.89 × 1.30

    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: 96.5

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

50.2%

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

Model factors

  • League average — goals: 3.35

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.96 × 1.24

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

  • Opponent strength: 1502 × 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: 64.1

    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: 1.71 × 1.47

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

  • Model expected goals: 1.89 × 1.30

    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: 86

    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, FC Augsburg recorded 5 wins, 3 draws and 2 defeats and averaged 2.20 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 Augsburg at home with 8 wins, 6 draws and 5 defeats in 19 matches, averaging 1.58 goals scored and 1.58 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 FC Augsburg's sample and 4 of 10 matches (40%) of Borussia Mönchengladbach's. Over 2.5 goals occurred in 9 of 10 matches (90%) and 6 of 10 matches (60%), respectively.

Shot volume separates the sides at 14.00 per match for FC Augsburg and 13.70 for Borussia Mönchengladbach. On target, the averages are 6.30 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 Augsburg

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

Last 5

Borussia Mönchengladbach

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

Last 10

FC Augsburg

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

Last 10

Borussia Mönchengladbach

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

Last 20

FC Augsburg

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

Last 20

Borussia Mönchengladbach

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

Season

FC Augsburg

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

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 Augsburg

2.20 · 10 matches

Borussia Mönchengladbach

1.30 · 10 matches

Average goals conceded

FC Augsburg

1.60 · 10 matches

Borussia Mönchengladbach

2.10 · 10 matches

Over 0.5

FC Augsburg

100% · 10 of 10 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 1.5

FC Augsburg

100% · 10 of 10 matches

Borussia Mönchengladbach

70% · 7 of 10 matches

Over 2.5

FC Augsburg

90% · 9 of 10 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 3.5

FC Augsburg

70% · 7 of 10 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Both teams scored

FC Augsburg

80% · 8 of 10 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Clean sheet

FC Augsburg

10% · 1 of 10 matches

Borussia Mönchengladbach

30% · 3 of 10 matches

Failed to score

FC Augsburg

10% · 1 of 10 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Corners

Volume and observed lines

Average for

FC Augsburg

5.00 · 10 matches

Borussia Mönchengladbach

4.10 · 10 matches

Average against

FC Augsburg

6.40 · 10 matches

Borussia Mönchengladbach

5.90 · 10 matches

Total average

FC Augsburg

11.40 · 10 matches

Borussia Mönchengladbach

10.00 · 10 matches

Over 7.5

FC Augsburg

80% · 8 of 10 matches

Borussia Mönchengladbach

70% · 7 of 10 matches

Over 8.5

FC Augsburg

70% · 7 of 10 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 9.5

FC Augsburg

70% · 7 of 10 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 10.5

FC Augsburg

60% · 6 of 10 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Over 11.5

FC Augsburg

60% · 6 of 10 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

FC Augsburg

1.60 · 10 matches

Borussia Mönchengladbach

3.10 · 10 matches

Opponent average

FC Augsburg

1.80 · 10 matches

Borussia Mönchengladbach

2.50 · 10 matches

Total average

FC Augsburg

3.40 · 10 matches

Borussia Mönchengladbach

5.60 · 10 matches

Over 2.5

FC Augsburg

60% · 6 of 10 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 3.5

FC Augsburg

40% · 4 of 10 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 4.5

FC Augsburg

10% · 1 of 10 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Over 5.5

FC Augsburg

10% · 1 of 10 matches

Borussia Mönchengladbach

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

FC Augsburg

8.10 · 10 matches

Borussia Mönchengladbach

11.60 · 10 matches

Opponent average

FC Augsburg

10.00 · 10 matches

Borussia Mönchengladbach

11.10 · 10 matches

Total average

FC Augsburg

18.10 · 10 matches

Borussia Mönchengladbach

22.70 · 10 matches

Shots

Production and concessions

Average shots

FC Augsburg

14.00 · 10 matches

Borussia Mönchengladbach

13.70 · 10 matches

Average shots on target

FC Augsburg

6.30 · 10 matches

Borussia Mönchengladbach

4.00 · 10 matches

Average shots conceded

FC Augsburg

19.90 · 10 matches

Borussia Mönchengladbach

16.00 · 10 matches

Average shots on target conceded

FC Augsburg

6.70 · 10 matches

Borussia Mönchengladbach

7.40 · 10 matches

Average xG

FC Augsburg

1.99 · 8 matches

Borussia Mönchengladbach

1.36 · 8 matches

Average xG against

FC Augsburg

2.05 · 8 matches

Borussia Mönchengladbach

2.15 · 8 matches

Home vs away

FC Augsburg at home × Borussia Mönchengladbach away

FC Augsburg at home

FC Augsburg

19 matches
DWWDDLWWWDDDWWLLWLL
W
8
D
6
L
5
GF
30
GA
30

Borussia Mönchengladbach away

Borussia Mönchengladbach

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

FC Augsburg at home

1.58 · 19 matches

Borussia Mönchengladbach away

0.95 · 19 matches

Average goals conceded

FC Augsburg at home

1.58 · 19 matches

Borussia Mönchengladbach away

1.95 · 19 matches

Over 0.5

FC Augsburg at home

95% · 18 of 19 matches

Borussia Mönchengladbach away

89% · 17 of 19 matches

Over 1.5

FC Augsburg at home

79% · 15 of 19 matches

Borussia Mönchengladbach away

74% · 14 of 19 matches

Over 2.5

FC Augsburg at home

58% · 11 of 19 matches

Borussia Mönchengladbach away

58% · 11 of 19 matches

Over 3.5

FC Augsburg at home

47% · 9 of 19 matches

Borussia Mönchengladbach away

37% · 7 of 19 matches

Both teams scored

FC Augsburg at home

58% · 11 of 19 matches

Borussia Mönchengladbach away

42% · 8 of 19 matches

Clean sheet

FC Augsburg at home

32% · 6 of 19 matches

Borussia Mönchengladbach away

26% · 5 of 19 matches

Failed to score

FC Augsburg at home

16% · 3 of 19 matches

Borussia Mönchengladbach away

42% · 8 of 19 matches

Total corner average

FC Augsburg at home

10.95 · 19 matches

Borussia Mönchengladbach away

9.89 · 19 matches

Over 8.5 corners

FC Augsburg at home

63% · 12 of 19 matches

Borussia Mönchengladbach away

58% · 11 of 19 matches

Total card average

FC Augsburg at home

4.47 · 19 matches

Borussia Mönchengladbach away

4.16 · 19 matches

Players and goalkeepers

Pre-match highlights

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

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

FC Augsburg 3 × 1 Borussia Mönchengladbach1388596
Borussia Mönchengladbach 4 × 0 FC Augsburg1388445
Average goals
4.00 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
100% · 2 of 2 matches

H2H corners: 4.50 · 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.