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FSV Mainz 05 vs Borussia Mönchengladbach: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 21

· LONDON TIME · Mewa Arena · Referee: not provided

FSV Mainz 05

FSV Mainz 05

6 · 7 pts · 4 P · 2 W · 1 D · 1 L · GD 4

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

69.0%

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: 1.72 × 1.20

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

  • Opponent strength: 1500 × 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

    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: 1.74 × 1.30

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

  • Model expected goals: 1.72 × 1.23

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

  • Signal consensus: 77.7

    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 69.0%, 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: 1.72 × 1.20 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 1442 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance 12

75.7%

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: 1.72 × 1.20

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

  • Opponent strength: 1500 × 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

    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: 1.74 × 1.30

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

  • Model expected goals: 1.72 × 1.23

    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: 92.9

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 75.7%, 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: 1.72 × 1.20 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 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

72.4%

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: 1.72 × 1.20

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

  • Opponent strength: 1500 × 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

    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: 1.74 × 1.30

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

  • Model expected goals: 1.72 × 1.23

    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: 76.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 72.4%, 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: 1.72 × 1.20 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 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

51.9%

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: 1.72 × 1.20

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

  • Opponent strength: 1500 × 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

    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: 1.74 × 1.30

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

  • Model expected goals: 1.72 × 1.23

    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: 69.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 51.9%, 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: 1.72 × 1.20 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 1442 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 0.5 goals

94.2%

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: 1.72 × 1.20

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

  • Opponent strength: 1500 × 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

    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: 1.74 × 1.30

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

  • Model expected goals: 1.72 × 1.23

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

  • Signal consensus: 92.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.2%, 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: 1.72 × 1.20 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 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

50.1%

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: 1.72 × 1.20

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

  • Opponent strength: 1500 × 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

    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: 1.74 × 1.30

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

  • Model expected goals: 1.72 × 1.23

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

  • Signal consensus: 83.7

    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 50.1%, 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: 1.72 × 1.20 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 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

89.4%

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

Model factors

  • League average — shots: 27.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 15.15 × 12.05

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

  • Opponent strength: 1500 × 1442

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 85.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots: 27.20

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

  • Signal consensus: 86.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 89.4%, high confidence and a sample of 38 matches per team.

League average — shots: 27.37 (Weighted average using only matches played before the fixture.) Home/away strength: 15.15 × 12.05 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 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

27.6%

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: 1.72 × 1.20

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

  • Opponent strength: 1500 × 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

    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: 1.74 × 1.30

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

  • Model expected goals: 1.72 × 1.23

    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: 76.4

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.3%

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: 1.72 × 1.20

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

  • Opponent strength: 1500 × 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

    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: 1.74 × 1.30

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

  • Model expected goals: 1.72 × 1.23

    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: 92.9

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

48.1%

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: 1.72 × 1.20

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

  • Opponent strength: 1500 × 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

    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: 1.74 × 1.30

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

  • Model expected goals: 1.72 × 1.23

    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: 69.6

    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, FSV Mainz 05 recorded 4 wins, 2 draws and 4 defeats and averaged 1.90 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 FSV Mainz 05 at home with 4 wins, 6 draws and 9 defeats in 19 matches, averaging 1.16 goals scored and 1.47 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 6 of 10 matches (60%) of FSV Mainz 05's sample and 4 of 10 matches (40%) of Borussia Mönchengladbach's. Over 2.5 goals occurred in 6 of 10 matches (60%) and 6 of 10 matches (60%), respectively.

Shot volume separates the sides at 16.70 per match for FSV Mainz 05 and 13.70 for Borussia Mönchengladbach. On target, the averages are 6.10 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

FSV Mainz 05

5 matches
WLWDW
W
3
D
1
L
1
GF
12
GA
6

Last 5

Borussia Mönchengladbach

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

Last 10

FSV Mainz 05

10 matches
WLWDWLWLDL
W
4
D
2
L
4
GF
19
GA
16

Last 10

Borussia Mönchengladbach

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

Last 20

FSV Mainz 05

20 matches
WLWDWLWLDLWWWDDDLWWW
W
10
D
5
L
5
GF
36
GA
28

Last 20

Borussia Mönchengladbach

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

Season

FSV Mainz 05

38 matches
WLWDWLWLDLWWWDDDLWWWLWDDDLLDLDLLLLWLDL
W
12
D
11
L
15
GF
54
GA
59

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

FSV Mainz 05

1.90 · 10 matches

Borussia Mönchengladbach

1.30 · 10 matches

Average goals conceded

FSV Mainz 05

1.60 · 10 matches

Borussia Mönchengladbach

2.10 · 10 matches

Over 0.5

FSV Mainz 05

90% · 9 of 10 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 1.5

FSV Mainz 05

80% · 8 of 10 matches

Borussia Mönchengladbach

70% · 7 of 10 matches

Over 2.5

FSV Mainz 05

60% · 6 of 10 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 3.5

FSV Mainz 05

50% · 5 of 10 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Both teams scored

FSV Mainz 05

60% · 6 of 10 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Clean sheet

FSV Mainz 05

30% · 3 of 10 matches

Borussia Mönchengladbach

30% · 3 of 10 matches

Failed to score

FSV Mainz 05

20% · 2 of 10 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Corners

Volume and observed lines

Average for

FSV Mainz 05

5.70 · 10 matches

Borussia Mönchengladbach

4.10 · 10 matches

Average against

FSV Mainz 05

4.60 · 10 matches

Borussia Mönchengladbach

5.90 · 10 matches

Total average

FSV Mainz 05

10.30 · 10 matches

Borussia Mönchengladbach

10.00 · 10 matches

Over 7.5

FSV Mainz 05

90% · 9 of 10 matches

Borussia Mönchengladbach

70% · 7 of 10 matches

Over 8.5

FSV Mainz 05

80% · 8 of 10 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 9.5

FSV Mainz 05

50% · 5 of 10 matches

Borussia Mönchengladbach

60% · 6 of 10 matches

Over 10.5

FSV Mainz 05

30% · 3 of 10 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Over 11.5

FSV Mainz 05

30% · 3 of 10 matches

Borussia Mönchengladbach

40% · 4 of 10 matches

Cards

Averages and frequencies

Team average

FSV Mainz 05

1.70 · 10 matches

Borussia Mönchengladbach

3.10 · 10 matches

Opponent average

FSV Mainz 05

2.60 · 10 matches

Borussia Mönchengladbach

2.50 · 10 matches

Total average

FSV Mainz 05

4.30 · 10 matches

Borussia Mönchengladbach

5.60 · 10 matches

Over 2.5

FSV Mainz 05

80% · 8 of 10 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 3.5

FSV Mainz 05

50% · 5 of 10 matches

Borussia Mönchengladbach

90% · 9 of 10 matches

Over 4.5

FSV Mainz 05

20% · 2 of 10 matches

Borussia Mönchengladbach

50% · 5 of 10 matches

Over 5.5

FSV Mainz 05

20% · 2 of 10 matches

Borussia Mönchengladbach

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

FSV Mainz 05

11.50 · 10 matches

Borussia Mönchengladbach

11.60 · 10 matches

Opponent average

FSV Mainz 05

10.80 · 10 matches

Borussia Mönchengladbach

11.10 · 10 matches

Total average

FSV Mainz 05

22.30 · 10 matches

Borussia Mönchengladbach

22.70 · 10 matches

Shots

Production and concessions

Average shots

FSV Mainz 05

16.70 · 10 matches

Borussia Mönchengladbach

13.70 · 10 matches

Average shots on target

FSV Mainz 05

6.10 · 10 matches

Borussia Mönchengladbach

4.00 · 10 matches

Average shots conceded

FSV Mainz 05

11.90 · 10 matches

Borussia Mönchengladbach

16.00 · 10 matches

Average shots on target conceded

FSV Mainz 05

4.30 · 10 matches

Borussia Mönchengladbach

7.40 · 10 matches

Average xG

FSV Mainz 05

2.09 · 7 matches

Borussia Mönchengladbach

1.36 · 8 matches

Average xG against

FSV Mainz 05

1.45 · 7 matches

Borussia Mönchengladbach

2.15 · 8 matches

Home vs away

FSV Mainz 05 at home × Borussia Mönchengladbach away

FSV Mainz 05 at home

FSV Mainz 05

19 matches
LDLLLWDDWWWDLDDLLLL
W
4
D
6
L
9
GF
22
GA
28

Borussia Mönchengladbach away

Borussia Mönchengladbach

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

FSV Mainz 05 at home

1.16 · 19 matches

Borussia Mönchengladbach away

0.95 · 19 matches

Average goals conceded

FSV Mainz 05 at home

1.47 · 19 matches

Borussia Mönchengladbach away

1.95 · 19 matches

Over 0.5

FSV Mainz 05 at home

89% · 17 of 19 matches

Borussia Mönchengladbach away

89% · 17 of 19 matches

Over 1.5

FSV Mainz 05 at home

68% · 13 of 19 matches

Borussia Mönchengladbach away

74% · 14 of 19 matches

Over 2.5

FSV Mainz 05 at home

42% · 8 of 19 matches

Borussia Mönchengladbach away

58% · 11 of 19 matches

Over 3.5

FSV Mainz 05 at home

32% · 6 of 19 matches

Borussia Mönchengladbach away

37% · 7 of 19 matches

Both teams scored

FSV Mainz 05 at home

58% · 11 of 19 matches

Borussia Mönchengladbach away

42% · 8 of 19 matches

Clean sheet

FSV Mainz 05 at home

16% · 3 of 19 matches

Borussia Mönchengladbach away

26% · 5 of 19 matches

Failed to score

FSV Mainz 05 at home

37% · 7 of 19 matches

Borussia Mönchengladbach away

42% · 8 of 19 matches

Total corner average

FSV Mainz 05 at home

10.05 · 19 matches

Borussia Mönchengladbach away

9.89 · 19 matches

Over 8.5 corners

FSV Mainz 05 at home

68% · 13 of 19 matches

Borussia Mönchengladbach away

58% · 11 of 19 matches

Total card average

FSV Mainz 05 at home

3.63 · 19 matches

Borussia Mönchengladbach away

4.16 · 19 matches

Players and goalkeepers

Pre-match highlights

FSV Mainz 05

S. Becker

Forward

7.85

4 matches · 286 min

2 goals · 3 assists · 6 of 12 shots on target

P. Tietz

Forward

7.72

4 matches · 360 min

4 goals · 0 assists · 7 of 16 shots on target

K. Sano

Midfielder

7.05

4 matches · 358 min

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

P. Mwene

Midfielder

6.83

4 matches · 344 min

1 goals · 1 assists · 2 of 4 shots on target

E. Martel

Midfielder

7.11

1 matches · 25 min

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

R. Zentner

Goalkeeper

6.26

2 matches · 180 min

2 saves · 0 goals conceded

A. Schwolow

Goalkeeper

4.31

3 matches · 180 min

5 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

Borussia Mönchengladbach 3 × 4 FSV Mainz 051575174
Borussia Mönchengladbach 1 × 1 FSV Mainz 051388571
FSV Mainz 05 0 × 1 Borussia Mönchengladbach1388421
Average goals
3.33 · 3 matches
Both teams scored
67% · 2 of 3 matches
Over 2.5
33% · 1 of 3 matches

H2H corners: 10.00 · 3 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.