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FSV Mainz 05 vs Union Berlin: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 11

· 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

VSUnion Berlin

Union Berlin

17 · 1 pts · 4 P · 0 W · 1 D · 3 L · GD -13

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

70.1%

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: 1.96 × 1.17

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

  • Opponent strength: 1500 × 1441

    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: 64.4

    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: 1.81 × 1.26

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

  • Model expected goals: 1.91 × 1.20

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

  • Signal consensus: 95.3

    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 70.1%, 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: 1.96 × 1.17 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 1441 (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

77.1%

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: 1.96 × 1.17

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

  • Opponent strength: 1500 × 1441

    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: 64.4

    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: 1.81 × 1.26

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

  • Model expected goals: 1.91 × 1.20

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

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 91.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 77.1%, 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: 1.96 × 1.17 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 1441 (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

75.8%

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: 1.96 × 1.17

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

  • Opponent strength: 1500 × 1441

    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: 64.4

    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: 1.81 × 1.26

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

  • Model expected goals: 1.91 × 1.20

    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: 55.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 75.8%, 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: 1.96 × 1.17 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 1441 (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

47.1%

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: 1.96 × 1.17

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

  • Opponent strength: 1500 × 1441

    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: 64.4

    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: 1.81 × 1.26

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

  • Model expected goals: 1.91 × 1.20

    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: 47.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 47.1%, 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: 1.96 × 1.17 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 1441 (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

95.3%

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: 1.96 × 1.17

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

  • Opponent strength: 1500 × 1441

    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: 64.4

    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: 1.81 × 1.26

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

  • Model expected goals: 1.91 × 1.20

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

  • Signal consensus: 96.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 95.3%, 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: 1.96 × 1.17 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 1441 (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

54.9%

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: 1.96 × 1.17

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

  • Opponent strength: 1500 × 1441

    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: 64.4

    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: 1.81 × 1.26

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

  • Model expected goals: 1.91 × 1.20

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

  • Signal consensus: 71.1

    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 54.9%, 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: 1.96 × 1.17 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 1441 (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

87.8%

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

Model factors

  • League average — shots: 27.73

    Weighted average using only matches played before the fixture.

  • Home/away strength: 15.24 × 11.22

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

  • Opponent strength: 1500 × 1441

    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: 26.46

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

  • Signal consensus: 98.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 87.8%, high confidence and a sample of 38 matches per team.

League average — shots: 27.73 (Weighted average using only matches played before the fixture.) Home/away strength: 15.24 × 11.22 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1500 × 1441 (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

24.2%

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: 1.96 × 1.17

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

  • Opponent strength: 1500 × 1441

    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: 64.4

    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: 1.81 × 1.26

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

  • Model expected goals: 1.91 × 1.20

    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: 55.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

22.9%

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: 1.96 × 1.17

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

  • Opponent strength: 1500 × 1441

    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: 64.4

    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: 1.81 × 1.26

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

  • Model expected goals: 1.91 × 1.20

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

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 91.5

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

52.9%

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: 1.96 × 1.17

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

  • Opponent strength: 1500 × 1441

    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: 64.4

    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: 1.81 × 1.26

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

  • Model expected goals: 1.91 × 1.20

    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: 47.2

    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, FSV Mainz 05 recorded 4 wins, 2 draws and 4 defeats and averaged 1.90 goals scored per match. Union Berlin's 10-match sample contains 2 wins, 2 draws and 6 defeats, with 1.60 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, Union Berlin has 5 wins, 2 draws and 12 defeats in 19 matches, with 0.95 goals scored and 2.26 goals conceded.

Both teams scored in 6 of 10 matches (60%) of FSV Mainz 05's sample and 7 of 10 matches (70%) of Union Berlin's. Over 2.5 goals occurred in 6 of 10 matches (60%) and 10 of 10 matches (100%), respectively.

Shot volume separates the sides at 16.70 per match for FSV Mainz 05 and 13.30 for Union Berlin. On target, the averages are 6.10 and 5.20, 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

Union Berlin

5 matches
LLLDW
W
1
D
1
L
3
GF
8
GA
17

Last 10

FSV Mainz 05

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

Last 10

Union Berlin

10 matches
LLLDWWDLLL
W
2
D
2
L
6
GF
16
GA
28

Last 20

FSV Mainz 05

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

Last 20

Union Berlin

20 matches
LLLDWWDLLLDLWLLWLDLL
W
4
D
4
L
12
GF
24
GA
48

Season

FSV Mainz 05

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

Season

Union Berlin

38 matches
LLLDWWDLLLDLWLLWLDLLDDDWWLLWDDLWLDWLLW
W
10
D
10
L
18
GF
48
GA
75

Goals

Frequencies across the last 10

Average goals scored

FSV Mainz 05

1.90 · 10 matches

Union Berlin

1.60 · 10 matches

Average goals conceded

FSV Mainz 05

1.60 · 10 matches

Union Berlin

2.80 · 10 matches

Over 0.5

FSV Mainz 05

90% · 9 of 10 matches

Union Berlin

100% · 10 of 10 matches

Over 1.5

FSV Mainz 05

80% · 8 of 10 matches

Union Berlin

100% · 10 of 10 matches

Over 2.5

FSV Mainz 05

60% · 6 of 10 matches

Union Berlin

100% · 10 of 10 matches

Over 3.5

FSV Mainz 05

50% · 5 of 10 matches

Union Berlin

90% · 9 of 10 matches

Both teams scored

FSV Mainz 05

60% · 6 of 10 matches

Union Berlin

70% · 7 of 10 matches

Clean sheet

FSV Mainz 05

30% · 3 of 10 matches

Union Berlin

10% · 1 of 10 matches

Failed to score

FSV Mainz 05

20% · 2 of 10 matches

Union Berlin

20% · 2 of 10 matches

Corners

Volume and observed lines

Average for

FSV Mainz 05

5.70 · 10 matches

Union Berlin

4.60 · 10 matches

Average against

FSV Mainz 05

4.60 · 10 matches

Union Berlin

6.50 · 10 matches

Total average

FSV Mainz 05

10.30 · 10 matches

Union Berlin

11.10 · 10 matches

Over 7.5

FSV Mainz 05

90% · 9 of 10 matches

Union Berlin

80% · 8 of 10 matches

Over 8.5

FSV Mainz 05

80% · 8 of 10 matches

Union Berlin

70% · 7 of 10 matches

Over 9.5

FSV Mainz 05

50% · 5 of 10 matches

Union Berlin

60% · 6 of 10 matches

Over 10.5

FSV Mainz 05

30% · 3 of 10 matches

Union Berlin

60% · 6 of 10 matches

Over 11.5

FSV Mainz 05

30% · 3 of 10 matches

Union Berlin

50% · 5 of 10 matches

Cards

Averages and frequencies

Team average

FSV Mainz 05

1.70 · 10 matches

Union Berlin

2.00 · 10 matches

Opponent average

FSV Mainz 05

2.60 · 10 matches

Union Berlin

1.60 · 10 matches

Total average

FSV Mainz 05

4.30 · 10 matches

Union Berlin

3.60 · 10 matches

Over 2.5

FSV Mainz 05

80% · 8 of 10 matches

Union Berlin

70% · 7 of 10 matches

Over 3.5

FSV Mainz 05

50% · 5 of 10 matches

Union Berlin

60% · 6 of 10 matches

Over 4.5

FSV Mainz 05

20% · 2 of 10 matches

Union Berlin

20% · 2 of 10 matches

Over 5.5

FSV Mainz 05

20% · 2 of 10 matches

Union Berlin

10% · 1 of 10 matches

Fouls

Match intensity

Committed average

FSV Mainz 05

11.50 · 10 matches

Union Berlin

10.20 · 10 matches

Opponent average

FSV Mainz 05

10.80 · 10 matches

Union Berlin

9.90 · 10 matches

Total average

FSV Mainz 05

22.30 · 10 matches

Union Berlin

20.10 · 10 matches

Shots

Production and concessions

Average shots

FSV Mainz 05

16.70 · 10 matches

Union Berlin

13.30 · 10 matches

Average shots on target

FSV Mainz 05

6.10 · 10 matches

Union Berlin

5.20 · 10 matches

Average shots conceded

FSV Mainz 05

11.90 · 10 matches

Union Berlin

14.00 · 10 matches

Average shots on target conceded

FSV Mainz 05

4.30 · 10 matches

Union Berlin

6.30 · 10 matches

Average xG

FSV Mainz 05

2.09 · 7 matches

Union Berlin

1.59 · 8 matches

Average xG against

FSV Mainz 05

1.45 · 7 matches

Union Berlin

1.88 · 8 matches

Home vs away

FSV Mainz 05 at home × Union Berlin away

FSV Mainz 05 at home

FSV Mainz 05

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

Union Berlin away

Union Berlin

19 matches
LLWLLLWLLLDDWLWLLWL
W
5
D
2
L
12
GF
18
GA
43
Average goals scored

FSV Mainz 05 at home

1.16 · 19 matches

Union Berlin away

0.95 · 19 matches

Average goals conceded

FSV Mainz 05 at home

1.47 · 19 matches

Union Berlin away

2.26 · 19 matches

Over 0.5

FSV Mainz 05 at home

89% · 17 of 19 matches

Union Berlin away

100% · 19 of 19 matches

Over 1.5

FSV Mainz 05 at home

68% · 13 of 19 matches

Union Berlin away

74% · 14 of 19 matches

Over 2.5

FSV Mainz 05 at home

42% · 8 of 19 matches

Union Berlin away

58% · 11 of 19 matches

Over 3.5

FSV Mainz 05 at home

32% · 6 of 19 matches

Union Berlin away

53% · 10 of 19 matches

Both teams scored

FSV Mainz 05 at home

58% · 11 of 19 matches

Union Berlin away

47% · 9 of 19 matches

Clean sheet

FSV Mainz 05 at home

16% · 3 of 19 matches

Union Berlin away

16% · 3 of 19 matches

Failed to score

FSV Mainz 05 at home

37% · 7 of 19 matches

Union Berlin away

37% · 7 of 19 matches

Total corner average

FSV Mainz 05 at home

10.05 · 19 matches

Union Berlin away

10.16 · 19 matches

Over 8.5 corners

FSV Mainz 05 at home

68% · 13 of 19 matches

Union Berlin away

68% · 13 of 19 matches

Total card average

FSV Mainz 05 at home

3.63 · 19 matches

Union Berlin away

3.78 · 18 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

Union Berlin

T. Skarke

Midfielder

6.70

4 matches · 115 min

2 goals · 0 assists · 5 of 5 shots on target

L. Querfeld

Centre-back

6.59

3 matches · 270 min

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

J. Juranović

Centre-back

6.50

3 matches · 254 min

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

E. Latte Lath

Forward

6.54

4 matches · 245 min

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

T. Rothe

Centre-back

5.83

4 matches · 360 min

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

F. Rønnow

Goalkeeper

6.71

3 matches · 270 min

18 saves · 4 goals conceded

M. Raab

Goalkeeper

1.77

3 matches · 90 min

0 saves · 3 goals conceded

H2H

Recent meetings

FSV Mainz 05 1 × 3 Union Berlin1388601
Union Berlin 2 × 2 FSV Mainz 051388450
Average goals
4.00 · 2 matches
Both teams scored
100% · 2 of 2 matches
Over 2.5
100% · 2 of 2 matches

H2H corners: 9.00 · 2 matches

Combined view

Data convergences

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