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Borussia Mönchengladbach vs VfB Stuttgart: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 24

· LONDON TIME · Borussia-Park · Referee: not provided

Borussia Mönchengladbach

Borussia Mönchengladbach

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

VSVfB Stuttgart

VfB Stuttgart

15 · 3 pts · 4 P · 1 W · 0 D · 3 L · GD -3

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

89.4%

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

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.40 × 2.44

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

  • Opponent strength: 1442 × 1548

    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: 1.36 × 1.89

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

  • Model expected goals: 1.39 × 2.29

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

  • Signal consensus: 94.5

    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 89.4%, high confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.40 × 2.44 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1442 × 1548 (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

79.5%

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

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.40 × 2.44

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

  • Opponent strength: 1442 × 1548

    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: 1.36 × 1.89

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

  • Model expected goals: 1.39 × 2.29

    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: 88.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 79.5%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.40 × 2.44 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1442 × 1548 (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

43.8%

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

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.40 × 2.44

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

  • Opponent strength: 1442 × 1548

    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: 1.36 × 1.89

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

  • Model expected goals: 1.39 × 2.29

    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: 4.3

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 43.8%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.40 × 2.44 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1442 × 1548 (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

76.7%

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

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.40 × 2.44

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

  • Opponent strength: 1442 × 1548

    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: 1.36 × 1.89

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

  • Model expected goals: 1.39 × 2.29

    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: 15.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 76.7%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.40 × 2.44 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1442 × 1548 (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

96.7%

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

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.40 × 2.44

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

  • Opponent strength: 1442 × 1548

    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: 1.36 × 1.89

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

  • Model expected goals: 1.39 × 2.29

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

  • Signal consensus: 89.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 96.7%, high confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.40 × 2.44 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1442 × 1548 (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

38.4%

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

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.40 × 2.44

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

  • Opponent strength: 1442 × 1548

    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: 1.36 × 1.89

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

  • Model expected goals: 1.39 × 2.29

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

  • Signal consensus: 73.3

    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 38.4%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.32 (Weighted average using only matches played before the fixture.) Home/away strength: 1.40 × 2.44 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1442 × 1548 (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

93.8%

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

Model factors

  • League average — shots: 27.3

    Weighted average using only matches played before the fixture.

  • Home/away strength: 11.87 × 17.10

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

  • Opponent strength: 1442 × 1548

    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: 28.97

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

  • Signal consensus: 85.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 93.8%, high confidence and a sample of 38 matches per team.

League average — shots: 27.3 (Weighted average using only matches played before the fixture.) Home/away strength: 11.87 × 17.10 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1442 × 1548 (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

56.2%

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

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.40 × 2.44

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

  • Opponent strength: 1442 × 1548

    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: 1.36 × 1.89

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

  • Model expected goals: 1.39 × 2.29

    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: 4.3

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

20.5%

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

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.40 × 2.44

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

  • Opponent strength: 1442 × 1548

    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: 1.36 × 1.89

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

  • Model expected goals: 1.39 × 2.29

    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: 88.8

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

23.3%

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

Model factors

  • League average — goals: 3.32

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.40 × 2.44

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

  • Opponent strength: 1442 × 1548

    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: 1.36 × 1.89

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

  • Model expected goals: 1.39 × 2.29

    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: 15.2

    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 Mönchengladbach recorded 2 wins, 2 draws and 6 defeats and averaged 1.30 goals scored per match. VfB Stuttgart's 10-match sample contains 3 wins, 3 draws and 4 defeats, with 2.10 goals scored per match.

The venue split shows Borussia Mönchengladbach at home with 6 wins, 6 draws and 7 defeats in 19 matches, averaging 1.58 goals scored and 1.68 goals conceded. Away from home, VfB Stuttgart has 6 wins, 5 draws and 8 defeats in 19 matches, with 2.26 goals scored and 2.11 goals conceded.

Both teams scored in 4 of 10 matches (40%) of Borussia Mönchengladbach's sample and 8 of 10 matches (80%) of VfB Stuttgart's. Over 2.5 goals occurred in 6 of 10 matches (60%) and 8 of 10 matches (80%), respectively.

Shot volume separates the sides at 13.70 per match for Borussia Mönchengladbach and 16.20 for VfB Stuttgart. On target, the averages are 4.00 and 6.50, 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 Mönchengladbach

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

Last 5

VfB Stuttgart

5 matches
LLWLD
W
1
D
1
L
3
GF
8
GA
11

Last 10

Borussia Mönchengladbach

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

Last 10

VfB Stuttgart

10 matches
LLWLDWDDLW
W
3
D
3
L
4
GF
21
GA
20

Last 20

Borussia Mönchengladbach

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

Last 20

VfB Stuttgart

20 matches
LLWLDWDDLWLWWDWDWLWW
W
9
D
5
L
6
GF
44
GA
32

Season

Borussia Mönchengladbach

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

Season

VfB Stuttgart

38 matches
LLWLDWDDLWLWWDWDWLWWDWWDWLLDWLWWWWWLWL
W
19
D
8
L
11
GF
77
GA
58

Goals

Frequencies across the last 10

Average goals scored

Borussia Mönchengladbach

1.30 · 10 matches

VfB Stuttgart

2.10 · 10 matches

Average goals conceded

Borussia Mönchengladbach

2.10 · 10 matches

VfB Stuttgart

2.00 · 10 matches

Over 0.5

Borussia Mönchengladbach

90% · 9 of 10 matches

VfB Stuttgart

100% · 10 of 10 matches

Over 1.5

Borussia Mönchengladbach

70% · 7 of 10 matches

VfB Stuttgart

90% · 9 of 10 matches

Over 2.5

Borussia Mönchengladbach

60% · 6 of 10 matches

VfB Stuttgart

80% · 8 of 10 matches

Over 3.5

Borussia Mönchengladbach

50% · 5 of 10 matches

VfB Stuttgart

70% · 7 of 10 matches

Both teams scored

Borussia Mönchengladbach

40% · 4 of 10 matches

VfB Stuttgart

80% · 8 of 10 matches

Clean sheet

Borussia Mönchengladbach

30% · 3 of 10 matches

VfB Stuttgart

10% · 1 of 10 matches

Failed to score

Borussia Mönchengladbach

40% · 4 of 10 matches

VfB Stuttgart

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Borussia Mönchengladbach

4.10 · 10 matches

VfB Stuttgart

6.90 · 10 matches

Average against

Borussia Mönchengladbach

5.90 · 10 matches

VfB Stuttgart

5.50 · 10 matches

Total average

Borussia Mönchengladbach

10.00 · 10 matches

VfB Stuttgart

12.40 · 10 matches

Over 7.5

Borussia Mönchengladbach

70% · 7 of 10 matches

VfB Stuttgart

100% · 10 of 10 matches

Over 8.5

Borussia Mönchengladbach

60% · 6 of 10 matches

VfB Stuttgart

90% · 9 of 10 matches

Over 9.5

Borussia Mönchengladbach

60% · 6 of 10 matches

VfB Stuttgart

80% · 8 of 10 matches

Over 10.5

Borussia Mönchengladbach

50% · 5 of 10 matches

VfB Stuttgart

70% · 7 of 10 matches

Over 11.5

Borussia Mönchengladbach

40% · 4 of 10 matches

VfB Stuttgart

70% · 7 of 10 matches

Cards

Averages and frequencies

Team average

Borussia Mönchengladbach

3.10 · 10 matches

VfB Stuttgart

1.67 · 9 matches

Opponent average

Borussia Mönchengladbach

2.50 · 10 matches

VfB Stuttgart

2.00 · 9 matches

Total average

Borussia Mönchengladbach

5.60 · 10 matches

VfB Stuttgart

3.67 · 9 matches

Over 2.5

Borussia Mönchengladbach

90% · 9 of 10 matches

VfB Stuttgart

78% · 7 of 9 matches

Over 3.5

Borussia Mönchengladbach

90% · 9 of 10 matches

VfB Stuttgart

56% · 5 of 9 matches

Over 4.5

Borussia Mönchengladbach

50% · 5 of 10 matches

VfB Stuttgart

33% · 3 of 9 matches

Over 5.5

Borussia Mönchengladbach

30% · 3 of 10 matches

VfB Stuttgart

11% · 1 of 9 matches

Fouls

Match intensity

Committed average

Borussia Mönchengladbach

11.60 · 10 matches

VfB Stuttgart

9.40 · 10 matches

Opponent average

Borussia Mönchengladbach

11.10 · 10 matches

VfB Stuttgart

11.50 · 10 matches

Total average

Borussia Mönchengladbach

22.70 · 10 matches

VfB Stuttgart

20.90 · 10 matches

Shots

Production and concessions

Average shots

Borussia Mönchengladbach

13.70 · 10 matches

VfB Stuttgart

16.20 · 10 matches

Average shots on target

Borussia Mönchengladbach

4.00 · 10 matches

VfB Stuttgart

6.50 · 10 matches

Average shots conceded

Borussia Mönchengladbach

16.00 · 10 matches

VfB Stuttgart

16.10 · 10 matches

Average shots on target conceded

Borussia Mönchengladbach

7.40 · 10 matches

VfB Stuttgart

6.00 · 10 matches

Average xG

Borussia Mönchengladbach

1.36 · 8 matches

VfB Stuttgart

1.91 · 7 matches

Average xG against

Borussia Mönchengladbach

2.15 · 8 matches

VfB Stuttgart

2.27 · 7 matches

Home vs away

Borussia Mönchengladbach at home × VfB Stuttgart away

Borussia Mönchengladbach at home

Borussia Mönchengladbach

19 matches
LLWWDDWWDLWLDWLDLLD
W
6
D
6
L
7
GF
30
GA
32

VfB Stuttgart away

VfB Stuttgart

19 matches
LLDDLWDDLWWWLDLWWLL
W
6
D
5
L
8
GF
43
GA
40
Average goals scored

Borussia Mönchengladbach at home

1.58 · 19 matches

VfB Stuttgart away

2.26 · 19 matches

Average goals conceded

Borussia Mönchengladbach at home

1.68 · 19 matches

VfB Stuttgart away

2.11 · 19 matches

Over 0.5

Borussia Mönchengladbach at home

84% · 16 of 19 matches

VfB Stuttgart away

100% · 19 of 19 matches

Over 1.5

Borussia Mönchengladbach at home

74% · 14 of 19 matches

VfB Stuttgart away

100% · 19 of 19 matches

Over 2.5

Borussia Mönchengladbach at home

58% · 11 of 19 matches

VfB Stuttgart away

100% · 19 of 19 matches

Over 3.5

Borussia Mönchengladbach at home

47% · 9 of 19 matches

VfB Stuttgart away

63% · 12 of 19 matches

Both teams scored

Borussia Mönchengladbach at home

42% · 8 of 19 matches

VfB Stuttgart away

84% · 16 of 19 matches

Clean sheet

Borussia Mönchengladbach at home

42% · 8 of 19 matches

VfB Stuttgart away

16% · 3 of 19 matches

Failed to score

Borussia Mönchengladbach at home

32% · 6 of 19 matches

VfB Stuttgart away

0% · 0 of 19 matches

Total corner average

Borussia Mönchengladbach at home

8.11 · 19 matches

VfB Stuttgart away

10.16 · 19 matches

Over 8.5 corners

Borussia Mönchengladbach at home

47% · 9 of 19 matches

VfB Stuttgart away

68% · 13 of 19 matches

Total card average

Borussia Mönchengladbach at home

4.47 · 19 matches

VfB Stuttgart away

3.61 · 18 matches

Players and goalkeepers

Pre-match highlights

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

VfB Stuttgart

J. Vagnoman

Midfielder

7.02

4 matches · 351 min

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

M. Mittelstädt

Centre-back

7.75

4 matches · 348 min

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

B. El Khannouss

Midfielder

6.72

4 matches · 203 min

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

Finn Jeltsch

Centre-back

6.59

4 matches · 360 min

0 goals · 1 assists · 1 of 6 shots on target

G. Prömel

Midfielder

6.56

4 matches · 354 min

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

F. Bredlow

Goalkeeper

7.13

4 matches · 360 min

15 saves · 5 goals conceded

M. Funk

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Borussia Mönchengladbach 0 × 3 VfB Stuttgart1388472
VfB Stuttgart 1 × 0 Borussia Mönchengladbach1388323
Average goals
2.00 · 2 matches
Both teams scored
0% · 0 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 10.50 · 2 matches

Combined view

Data convergences

  • Both scopes show a high frequency of the away team scoring.
  • Recent histories converge towards matches with three or more goals.

Descriptive analysis based exclusively on available frequencies.