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Union Berlin vs Hamburger SV: statistics and analysis

BUNDESLIGA 2026/27 · PRE-MATCH ANALYSIS

Round 12

· LONDON TIME · Stadium not provided · Referee: not provided

Union Berlin

Union Berlin

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

VSHamburger SV

Hamburger SV

16 · 3 pts · 4 P · 1 W · 0 D · 3 L · GD -11

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

72.5%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.64 × 1.42

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

  • Opponent strength: 1441 × 1460

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 64.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.57 × 1.29

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

  • Model expected goals: 1.62 × 1.39

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

  • Signal consensus: 67.2

    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 72.5%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 1.64 × 1.42 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1460 (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

75.4%

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: 1.64 × 1.42

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

  • Opponent strength: 1441 × 1460

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 64.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.57 × 1.29

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

  • Model expected goals: 1.62 × 1.39

    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: 99.2

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 12 has a model probability of 75.4%, 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: 1.64 × 1.42 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1460 (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

67.2%

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: 1.64 × 1.42

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

  • Opponent strength: 1441 × 1460

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 64.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.57 × 1.29

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

  • Model expected goals: 1.62 × 1.39

    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: 84.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 67.2%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 1.64 × 1.42 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1460 (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

57.5%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.64 × 1.42

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

  • Opponent strength: 1441 × 1460

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 64.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.57 × 1.29

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

  • Model expected goals: 1.62 × 1.39

    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: 83.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 57.5%, medium confidence and a sample of 38 matches per team.

League average — goals: 3.37 (Weighted average using only matches played before the fixture.) Home/away strength: 1.64 × 1.42 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1460 (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

95.0%

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: 1.64 × 1.42

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

  • Opponent strength: 1441 × 1460

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 64.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.57 × 1.29

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

  • Model expected goals: 1.62 × 1.39

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

  • Signal consensus: 99.5

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 95.0%, 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: 1.64 × 1.42 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1460 (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

44.9%

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: 1.64 × 1.42

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

  • Opponent strength: 1441 × 1460

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 64.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.57 × 1.29

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

  • Model expected goals: 1.62 × 1.39

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

  • Signal consensus: 56.4

    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 44.9%, 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: 1.64 × 1.42 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1460 (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

88.5%

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

Model factors

  • League average — shots: 27.7

    Weighted average using only matches played before the fixture.

  • Home/away strength: 14.18 × 12.51

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

  • Opponent strength: 1441 × 1460

    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: 26.69

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

  • Signal consensus: 96.7

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 88.5%, high confidence and a sample of 38 matches per team.

League average — shots: 27.7 (Weighted average using only matches played before the fixture.) Home/away strength: 14.18 × 12.51 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1441 × 1460 (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

32.8%

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: 1.64 × 1.42

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

  • Opponent strength: 1441 × 1460

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 64.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.57 × 1.29

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

  • Model expected goals: 1.62 × 1.39

    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: 84.5

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.6%

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: 1.64 × 1.42

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

  • Opponent strength: 1441 × 1460

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 64.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.57 × 1.29

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

  • Model expected goals: 1.62 × 1.39

    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: 99.2

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

42.5%

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

Model factors

  • League average — goals: 3.37

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.64 × 1.42

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

  • Opponent strength: 1441 × 1460

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

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

  • Historical stability: 64.3

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

  • Sample per team: 38 / 38

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

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.57 × 1.29

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

  • Model expected goals: 1.62 × 1.39

    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: 83.4

    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, Union Berlin recorded 2 wins, 2 draws and 6 defeats and averaged 1.60 goals scored per match. Hamburger SV's 10-match sample contains 3 wins, 1 draw and 6 defeats, with 1.00 goal scored per match.

The venue split shows Union Berlin at home with 5 wins, 8 draws and 6 defeats in 19 matches, averaging 1.58 goals scored and 1.68 goals conceded. Away from home, Hamburger SV has 3 wins, 5 draws and 11 defeats in 19 matches, with 0.79 goals scored and 2.05 goals conceded.

Both teams scored in 7 of 10 matches (70%) of Union Berlin's sample and 6 of 10 matches (60%) of Hamburger SV's. Over 2.5 goals occurred in 10 of 10 matches (100%) and 8 of 10 matches (80%), respectively.

Shot volume separates the sides at 13.30 per match for Union Berlin and 11.20 for Hamburger SV. On target, the averages are 5.20 and 4.20, 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

Union Berlin

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

Last 5

Hamburger SV

5 matches
WLLLD
W
1
D
1
L
3
GF
3
GA
14

Last 10

Union Berlin

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

Last 10

Hamburger SV

10 matches
WLLLDWWLLL
W
3
D
1
L
6
GF
10
GA
26

Last 20

Union Berlin

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

Last 20

Hamburger SV

20 matches
WLLLDWWLLLDLDWLLDWWD
W
6
D
5
L
9
GF
25
GA
40

Season

Union Berlin

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

Season

Hamburger SV

38 matches
WLLLDWWLLLDLDWLLDWWDDDLDLWWLDLLLWDWLLD
W
10
D
11
L
17
GF
42
GA
67

Goals

Frequencies across the last 10

Average goals scored

Union Berlin

1.60 · 10 matches

Hamburger SV

1.00 · 10 matches

Average goals conceded

Union Berlin

2.80 · 10 matches

Hamburger SV

2.60 · 10 matches

Over 0.5

Union Berlin

100% · 10 of 10 matches

Hamburger SV

100% · 10 of 10 matches

Over 1.5

Union Berlin

100% · 10 of 10 matches

Hamburger SV

100% · 10 of 10 matches

Over 2.5

Union Berlin

100% · 10 of 10 matches

Hamburger SV

80% · 8 of 10 matches

Over 3.5

Union Berlin

90% · 9 of 10 matches

Hamburger SV

50% · 5 of 10 matches

Both teams scored

Union Berlin

70% · 7 of 10 matches

Hamburger SV

60% · 6 of 10 matches

Clean sheet

Union Berlin

10% · 1 of 10 matches

Hamburger SV

0% · 0 of 10 matches

Failed to score

Union Berlin

20% · 2 of 10 matches

Hamburger SV

40% · 4 of 10 matches

Corners

Volume and observed lines

Average for

Union Berlin

4.60 · 10 matches

Hamburger SV

3.30 · 10 matches

Average against

Union Berlin

6.50 · 10 matches

Hamburger SV

6.60 · 10 matches

Total average

Union Berlin

11.10 · 10 matches

Hamburger SV

9.90 · 10 matches

Over 7.5

Union Berlin

80% · 8 of 10 matches

Hamburger SV

80% · 8 of 10 matches

Over 8.5

Union Berlin

70% · 7 of 10 matches

Hamburger SV

70% · 7 of 10 matches

Over 9.5

Union Berlin

60% · 6 of 10 matches

Hamburger SV

60% · 6 of 10 matches

Over 10.5

Union Berlin

60% · 6 of 10 matches

Hamburger SV

40% · 4 of 10 matches

Over 11.5

Union Berlin

50% · 5 of 10 matches

Hamburger SV

30% · 3 of 10 matches

Cards

Averages and frequencies

Team average

Union Berlin

2.00 · 10 matches

Hamburger SV

1.70 · 10 matches

Opponent average

Union Berlin

1.60 · 10 matches

Hamburger SV

3.00 · 10 matches

Total average

Union Berlin

3.60 · 10 matches

Hamburger SV

4.70 · 10 matches

Over 2.5

Union Berlin

70% · 7 of 10 matches

Hamburger SV

100% · 10 of 10 matches

Over 3.5

Union Berlin

60% · 6 of 10 matches

Hamburger SV

70% · 7 of 10 matches

Over 4.5

Union Berlin

20% · 2 of 10 matches

Hamburger SV

30% · 3 of 10 matches

Over 5.5

Union Berlin

10% · 1 of 10 matches

Hamburger SV

30% · 3 of 10 matches

Fouls

Match intensity

Committed average

Union Berlin

10.20 · 10 matches

Hamburger SV

12.80 · 10 matches

Opponent average

Union Berlin

9.90 · 10 matches

Hamburger SV

12.80 · 10 matches

Total average

Union Berlin

20.10 · 10 matches

Hamburger SV

25.60 · 10 matches

Shots

Production and concessions

Average shots

Union Berlin

13.30 · 10 matches

Hamburger SV

11.20 · 10 matches

Average shots on target

Union Berlin

5.20 · 10 matches

Hamburger SV

4.20 · 10 matches

Average shots conceded

Union Berlin

14.00 · 10 matches

Hamburger SV

16.90 · 10 matches

Average shots on target conceded

Union Berlin

6.30 · 10 matches

Hamburger SV

6.90 · 10 matches

Average xG

Union Berlin

1.59 · 8 matches

Hamburger SV

1.14 · 7 matches

Average xG against

Union Berlin

1.88 · 8 matches

Hamburger SV

1.79 · 7 matches

Home vs away

Union Berlin at home × Hamburger SV away

Union Berlin at home

Union Berlin

19 matches
LDWDLDLWDLDWLDDWDLW
W
5
D
8
L
6
GF
30
GA
32

Hamburger SV away

Hamburger SV

19 matches
LLDWLLLWDWDLLLLLDLD
W
3
D
5
L
11
GF
15
GA
39
Average goals scored

Union Berlin at home

1.58 · 19 matches

Hamburger SV away

0.79 · 19 matches

Average goals conceded

Union Berlin at home

1.68 · 19 matches

Hamburger SV away

2.05 · 19 matches

Over 0.5

Union Berlin at home

89% · 17 of 19 matches

Hamburger SV away

84% · 16 of 19 matches

Over 1.5

Union Berlin at home

84% · 16 of 19 matches

Hamburger SV away

79% · 15 of 19 matches

Over 2.5

Union Berlin at home

74% · 14 of 19 matches

Hamburger SV away

58% · 11 of 19 matches

Over 3.5

Union Berlin at home

53% · 10 of 19 matches

Hamburger SV away

37% · 7 of 19 matches

Both teams scored

Union Berlin at home

74% · 14 of 19 matches

Hamburger SV away

53% · 10 of 19 matches

Clean sheet

Union Berlin at home

21% · 4 of 19 matches

Hamburger SV away

21% · 4 of 19 matches

Failed to score

Union Berlin at home

16% · 3 of 19 matches

Hamburger SV away

42% · 8 of 19 matches

Total corner average

Union Berlin at home

9.47 · 19 matches

Hamburger SV away

9.53 · 19 matches

Over 8.5 corners

Union Berlin at home

68% · 13 of 19 matches

Hamburger SV away

58% · 11 of 19 matches

Total card average

Union Berlin at home

4.84 · 19 matches

Hamburger SV away

4.95 · 19 matches

Players and goalkeepers

Pre-match highlights

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

Hamburger SV

A. Grønbæk

Midfielder

6.92

4 matches · 337 min

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

N. Capaldo

Centre-back

5.96

4 matches · 360 min

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

Y. Poulsen

Forward

5.12

4 matches · 98 min

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

A. Sambi Lokonga

Midfielder

6.51

3 matches · 257 min

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

N. Remberg

Midfielder

6.51

4 matches · 360 min

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

Daniel Heuer Fernandes

Goalkeeper

6.62

4 matches · 360 min

13 saves · 2 goals conceded

S. Tangvik

Goalkeeper

0.00

3 matches · 0 min

0 saves · 0 goals conceded

H2H

Recent meetings

Hamburger SV 3 × 2 Union Berlin1388501
Union Berlin 0 × 0 Hamburger SV1388351
Average goals
2.50 · 2 matches
Both teams scored
50% · 1 of 2 matches
Over 2.5
50% · 1 of 2 matches

H2H corners: 8.50 · 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.